{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE C9 ****
. 
. clear all
{res}{txt}
{com}. set mem 2g
{txt}{bf:set memory} ignored.
{p 4 4 2}
Memory no longer
needs to be set in modern Statas;
memory adjustments are performed on the fly
automatically.
{p_end}

{com}. set more off
{txt}
{com}. 
. /*      
>         OUTLINE
>         1. REGRESSIONS
>         2. TABLE FOR PAPER
> */
. 
. **************************
. ***** 1. REGRESSIONS *****
. **************************
. 
. // Import data
. 
. use $data\EEREV-D-21-00004_Data_Municipalities.dta, clear
{txt}
{com}. 
. // Macros
. 
. global geogr_endow                      "water lelevation_mean lelevation_std ldist_de" 
{txt}
{com}. global pop                                      "perc_b_1928_1945 perc_b_1946_1964 perc_b_1965_1980 perc_b_1981_1996 perc_male_counter"
{txt}
{com}. global demog_chara                      ""
{txt}
{com}. global socec_aspec                      "perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd"
{txt}
{com}. 
. // Control vectors
. 
. global sigma                            "perc_prot_church pop_jew p_french_name lpop_1936 perc_fore_1936 perc_dial_1936 perc_disp_1946 $geogr_endow perc_droi_1936_ins"
{txt}
{com}. global w                                        "$demog_chara $socec_aspec"
{txt}
{com}. global dialect                          "dialect_lux dialect_mos dialect_rhe dialect_pal dialect_als dialect_hau dialect_lor dialect_fra"
{txt}
{com}. 
. // Controls vector
. 
. global rdd2                             "rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon"
{txt}
{com}. 
. // Regressions
. 
. rename age age_all
{res}{txt}
{com}. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}. foreach var in lpop_year lpop_male perc_male age_all age_h age_f{c -(}
{txt}  3{com}.     
.         ivreghdfe `var' (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  4{com}.         estimates store `var'_`year'
{txt}  5{com}.         scalar f = e(rkf)
{txt}  6{com}.         estadd scalar F_fs=f
{txt}  7{com}.         qui sum `var' if e(sample)
{txt}  8{com}.         scalar mean_y=r(mean)
{txt}  9{com}.         estadd scalar mean_y
{txt} 10{com}.         
. {c )-}
{txt} 11{com}. {c )-}
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.52
{txt}{col 55}Prob > F      = {res}  0.0267
{txt}Total (centered) SS     = {res} 21.76117388{txt}{col 55}Centered R2   = {res} -0.3949
{txt}Total (uncentered) SS   = {res} 21.76117388{txt}{col 55}Uncentered R2 = {res} -0.3949
{txt}Residual SS             = {res} 30.35567097{txt}{col 55}Root MSE      = {res}   .2676

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_year{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0383043{col 30}{space 2} .0164905{col 41}{space 1}   -2.32{col 50}{space 3}0.027{col 58}{space 4}-.0719369{col 71}{space 3}-.0046718
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0039372{col 30}{space 2} .0032707{col 41}{space 1}    1.20{col 50}{space 3}0.238{col 58}{space 4}-.0027335{col 71}{space 3} .0106079
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0081979{col 30}{space 2} .0063382{col 41}{space 1}    1.29{col 50}{space 3}0.205{col 58}{space 4}-.0047291{col 71}{space 3} .0211248
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0123152{col 30}{space 2} .0057218{col 41}{space 1}    2.15{col 50}{space 3}0.039{col 58}{space 4} .0006456{col 71}{space 3} .0239848
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-20.86669{col 30}{space 2} 103.2838{col 41}{space 1}   -0.20{col 50}{space 3}0.841{col 58}{space 4}-231.5154{col 71}{space 3} 189.7821
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 159.8191{col 30}{space 2} 60.00988{col 41}{space 1}    2.66{col 50}{space 3}0.012{col 58}{space 4} 37.42816{col 71}{space 3} 282.2101
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .4642271{col 30}{space 2} 1.025071{col 41}{space 1}    0.45{col 50}{space 3}0.654{col 58}{space 4}-1.626419{col 71}{space 3} 2.554873
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .1423985{col 30}{space 2} .4715803{col 41}{space 1}    0.30{col 50}{space 3}0.765{col 58}{space 4}-.8193959{col 71}{space 3} 1.104193
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.304301{col 30}{space 2} 1.164367{col 41}{space 1}   -2.84{col 50}{space 3}0.008{col 58}{space 4}-5.679044{col 71}{space 3}-.9295589
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.440
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0064
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.777
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.749
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}21.748635

{txt}added scalar:
             e(mean_y) =  {res}6.1261652
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.93
{txt}{col 55}Prob > F      = {res}  0.0123
{txt}Total (centered) SS     = {res} 39.82218458{txt}{col 55}Centered R2   = {res} -0.1829
{txt}Total (uncentered) SS   = {res} 39.82218458{txt}{col 55}Uncentered R2 = {res} -0.1829
{txt}Residual SS             = {res} 47.10435996{txt}{col 55}Root MSE      = {res}   .3333

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0412079{col 30}{space 2} .0217988{col 41}{space 1}   -1.89{col 50}{space 3}0.068{col 58}{space 4}-.0856668{col 71}{space 3} .0032509
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0024757{col 30}{space 2} .0046502{col 41}{space 1}    0.53{col 50}{space 3}0.598{col 58}{space 4}-.0070084{col 71}{space 3} .0119598
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0164104{col 30}{space 2} .0076102{col 41}{space 1}    2.16{col 50}{space 3}0.039{col 58}{space 4} .0008894{col 71}{space 3} .0319314
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0155539{col 30}{space 2} .0080799{col 41}{space 1}    1.93{col 50}{space 3}0.063{col 58}{space 4}-.0009252{col 71}{space 3} .0320329
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-33.54062{col 30}{space 2} 113.3529{col 41}{space 1}   -0.30{col 50}{space 3}0.769{col 58}{space 4}-264.7254{col 71}{space 3} 197.6442
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}  159.202{col 30}{space 2} 71.48446{col 41}{space 1}    2.23{col 50}{space 3}0.033{col 58}{space 4} 13.40844{col 71}{space 3} 304.9955
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .5824902{col 30}{space 2} 1.142009{col 41}{space 1}    0.51{col 50}{space 3}0.614{col 58}{space 4}-1.746653{col 71}{space 3} 2.911633
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.1426881{col 30}{space 2}  .522813{col 41}{space 1}   -0.27{col 50}{space 3}0.787{col 58}{space 4}-1.208972{col 71}{space 3}  .923596
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.209528{col 30}{space 2} 1.400984{col 41}{space 1}   -2.29{col 50}{space 3}0.029{col 58}{space 4}-6.066854{col 71}{space 3}-.3522022
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.440
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0064
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.777
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.749
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}21.748635

{txt}added scalar:
             e(mean_y) =  {res}5.4049311
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.22
{txt}{col 55}Prob > F      = {res}  0.3214
{txt}Total (centered) SS     = {res} 9206.235561{txt}{col 55}Centered R2   = {res} -0.0116
{txt}Total (uncentered) SS   = {res} 9206.235561{txt}{col 55}Uncentered R2 = {res} -0.0116
{txt}Residual SS             = {res} 9312.720488{txt}{col 55}Root MSE      = {res}   4.687

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       perc_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.2626529{col 30}{space 2} .4296489{col 41}{space 1}   -0.61{col 50}{space 3}0.545{col 58}{space 4}-1.138928{col 71}{space 3} .6136218
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0354522{col 30}{space 2} .0722185{col 41}{space 1}   -0.49{col 50}{space 3}0.627{col 58}{space 4}-.1827428{col 71}{space 3} .1118384
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  .202307{col 30}{space 2} .1194713{col 41}{space 1}    1.69{col 50}{space 3}0.100{col 58}{space 4}-.0413563{col 71}{space 3} .4459704
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0520437{col 30}{space 2} .1209659{col 41}{space 1}    0.43{col 50}{space 3}0.670{col 58}{space 4}-.1946679{col 71}{space 3} .2987553
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1203.415{col 30}{space 2} 2220.022{col 41}{space 1}   -0.54{col 50}{space 3}0.592{col 58}{space 4}-5731.181{col 71}{space 3}  3324.35
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 659.0518{col 30}{space 2} 788.6251{col 41}{space 1}    0.84{col 50}{space 3}0.410{col 58}{space 4}-949.3596{col 71}{space 3} 2267.463
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 13.04873{col 30}{space 2} 22.18143{col 41}{space 1}    0.59{col 50}{space 3}0.561{col 58}{space 4}-32.19059{col 71}{space 3} 58.28806
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-9.889909{col 30}{space 2} 4.645671{col 41}{space 1}   -2.13{col 50}{space 3}0.041{col 58}{space 4}-19.36482{col 71}{space 3}-.4150004
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-10.43404{col 30}{space 2} 15.58276{col 41}{space 1}   -0.67{col 50}{space 3}0.508{col 58}{space 4}-42.21529{col 71}{space 3} 21.34722
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.440
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0064
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.777
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.749
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}21.748635

{txt}added scalar:
             e(mean_y) =  {res}49.369451
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.36
{txt}{col 55}Prob > F      = {res}  0.0056
{txt}Total (centered) SS     = {res}  8143.34491{txt}{col 55}Centered R2   = {res} -0.0677
{txt}Total (uncentered) SS   = {res}  8143.34491{txt}{col 55}Uncentered R2 = {res} -0.0677
{txt}Residual SS             = {res} 8694.950387{txt}{col 55}Root MSE      = {res}   4.528

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}         age_all{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .4168209{col 30}{space 2} .2580058{col 41}{space 1}    1.62{col 50}{space 3}0.116{col 58}{space 4}-.1093854{col 71}{space 3} .9430271
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0159602{col 30}{space 2}   .07682{col 41}{space 1}    0.21{col 50}{space 3}0.837{col 58}{space 4}-.1407152{col 71}{space 3} .1726356
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.2162641{col 30}{space 2} .1144819{col 41}{space 1}   -1.89{col 50}{space 3}0.068{col 58}{space 4}-.4497514{col 71}{space 3} .0172232
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2864246{col 30}{space 2} .1183554{col 41}{space 1}   -2.42{col 50}{space 3}0.022{col 58}{space 4} -.527812{col 71}{space 3}-.0450371
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 404.4824{col 30}{space 2} 1175.588{col 41}{space 1}    0.34{col 50}{space 3}0.733{col 58}{space 4}-1993.146{col 71}{space 3}  2802.11
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-489.9711{col 30}{space 2} 807.9381{col 41}{space 1}   -0.61{col 50}{space 3}0.549{col 58}{space 4}-2137.772{col 71}{space 3}  1157.83
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-4.939108{col 30}{space 2} 12.11011{col 41}{space 1}   -0.41{col 50}{space 3}0.686{col 58}{space 4}-29.63783{col 71}{space 3} 19.75961
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.3356895{col 30}{space 2} 5.452543{col 41}{space 1}   -0.06{col 50}{space 3}0.951{col 58}{space 4}-11.45622{col 71}{space 3} 10.78484
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 10.13829{col 30}{space 2} 15.83485{col 41}{space 1}    0.64{col 50}{space 3}0.527{col 58}{space 4}-22.15709{col 71}{space 3} 42.43367
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.440
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0064
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.777
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.749
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}21.748635

{txt}added scalar:
             e(mean_y) =  {res}34.51435
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.07
{txt}{col 55}Prob > F      = {res}  0.0094
{txt}Total (centered) SS     = {res} 10165.40073{txt}{col 55}Centered R2   = {res} -0.1907
{txt}Total (uncentered) SS   = {res} 10165.40073{txt}{col 55}Uncentered R2 = {res} -0.1907
{txt}Residual SS             = {res} 12104.13318{txt}{col 55}Root MSE      = {res}   5.343

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_h{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .6801285{col 30}{space 2} .2861609{col 41}{space 1}    2.38{col 50}{space 3}0.024{col 58}{space 4} .0964994{col 71}{space 3} 1.263758
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0082895{col 30}{space 2} .0954288{col 41}{space 1}    0.09{col 50}{space 3}0.931{col 58}{space 4}-.1863389{col 71}{space 3} .2029179
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.2884713{col 30}{space 2} .1271059{col 41}{space 1}   -2.27{col 50}{space 3}0.030{col 58}{space 4}-.5477055{col 71}{space 3} -.029237
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2792109{col 30}{space 2} .1525927{col 41}{space 1}   -1.83{col 50}{space 3}0.077{col 58}{space 4}-.5904257{col 71}{space 3} .0320039
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 262.3033{col 30}{space 2}  1443.92{col 41}{space 1}    0.18{col 50}{space 3}0.857{col 58}{space 4} -2682.59{col 71}{space 3} 3207.197
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-672.7908{col 30}{space 2} 942.4195{col 41}{space 1}   -0.71{col 50}{space 3}0.481{col 58}{space 4}-2594.868{col 71}{space 3} 1249.286
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.734397{col 30}{space 2} 14.62325{col 41}{space 1}   -0.26{col 50}{space 3}0.800{col 58}{space 4}-33.55872{col 71}{space 3} 26.08992
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .9367989{col 30}{space 2} 6.279408{col 41}{space 1}    0.15{col 50}{space 3}0.882{col 58}{space 4}-11.87014{col 71}{space 3} 13.74374
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 13.52508{col 30}{space 2} 18.75093{col 41}{space 1}    0.72{col 50}{space 3}0.476{col 58}{space 4} -24.7177{col 71}{space 3} 51.76787
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.440
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0064
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.777
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.749
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}21.748635

{txt}added scalar:
             e(mean_y) =  {res}33.358776
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.82
{txt}{col 55}Prob > F      = {res}  0.1051
{txt}Total (centered) SS     = {res} 10409.59459{txt}{col 55}Centered R2   = {res}  0.0197
{txt}Total (uncentered) SS   = {res} 10409.59459{txt}{col 55}Uncentered R2 = {res}  0.0197
{txt}Residual SS             = {res} 10204.48252{txt}{col 55}Root MSE      = {res}   4.906

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_f{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .1254409{col 30}{space 2} .3354955{col 41}{space 1}    0.37{col 50}{space 3}0.711{col 58}{space 4}-.5588066{col 71}{space 3} .8096885
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0262824{col 30}{space 2} .0766214{col 41}{space 1}    0.34{col 50}{space 3}0.734{col 58}{space 4} -.129988{col 71}{space 3} .1825528
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1321078{col 30}{space 2} .1216015{col 41}{space 1}   -1.09{col 50}{space 3}0.286{col 58}{space 4}-.3801157{col 71}{space 3}    .1159
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.3018674{col 30}{space 2} .1078586{col 41}{space 1}   -2.80{col 50}{space 3}0.009{col 58}{space 4}-.5218465{col 71}{space 3}-.0818883
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 384.0017{col 30}{space 2} 1436.945{col 41}{space 1}    0.27{col 50}{space 3}0.791{col 58}{space 4}-2546.668{col 71}{space 3} 3314.671
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-299.7347{col 30}{space 2} 849.5983{col 41}{space 1}   -0.35{col 50}{space 3}0.727{col 58}{space 4}-2032.502{col 71}{space 3} 1433.032
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-4.480924{col 30}{space 2} 14.93251{col 41}{space 1}   -0.30{col 50}{space 3}0.766{col 58}{space 4}-34.93597{col 71}{space 3} 25.97412
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-2.232792{col 30}{space 2} 5.268726{col 41}{space 1}   -0.42{col 50}{space 3}0.675{col 58}{space 4}-12.97843{col 71}{space 3} 8.512845
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 6.796519{col 30}{space 2} 16.70073{col 41}{space 1}    0.41{col 50}{space 3}0.687{col 58}{space 4}-27.26485{col 71}{space 3} 40.85788
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.440
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0064
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.777
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.749
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}21.748635

{txt}added scalar:
             e(mean_y) =  {res}35.765005
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.75
{txt}{col 55}Prob > F      = {res}  0.0174
{txt}Total (centered) SS     = {res} 24.12538711{txt}{col 55}Centered R2   = {res} -0.3892
{txt}Total (uncentered) SS   = {res} 24.12538711{txt}{col 55}Uncentered R2 = {res} -0.3892
{txt}Residual SS             = {res} 33.51410729{txt}{col 55}Root MSE      = {res}   .2811

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_year{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} -.040844{col 30}{space 2} .0177334{col 41}{space 1}   -2.30{col 50}{space 3}0.028{col 58}{space 4}-.0770114{col 71}{space 3}-.0046766
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0035402{col 30}{space 2} .0034699{col 41}{space 1}    1.02{col 50}{space 3}0.316{col 58}{space 4}-.0035367{col 71}{space 3} .0106171
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  .007949{col 30}{space 2} .0065828{col 41}{space 1}    1.21{col 50}{space 3}0.236{col 58}{space 4}-.0054767{col 71}{space 3} .0213747
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0136481{col 30}{space 2} .0061347{col 41}{space 1}    2.22{col 50}{space 3}0.034{col 58}{space 4} .0011363{col 71}{space 3} .0261599
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-6.510938{col 30}{space 2} 108.0058{col 41}{space 1}   -0.06{col 50}{space 3}0.952{col 58}{space 4}-226.7901{col 71}{space 3} 213.7683
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 168.5137{col 30}{space 2} 62.20165{col 41}{space 1}    2.71{col 50}{space 3}0.011{col 58}{space 4} 41.65265{col 71}{space 3} 295.3748
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .3301974{col 30}{space 2} 1.071632{col 41}{space 1}    0.31{col 50}{space 3}0.760{col 58}{space 4} -1.85541{col 71}{space 3} 2.515805
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .1161299{col 30}{space 2} .4787579{col 41}{space 1}    0.24{col 50}{space 3}0.810{col 58}{space 4}-.8603034{col 71}{space 3} 1.092563
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.474592{col 30}{space 2} 1.206527{col 41}{space 1}   -2.88{col 50}{space 3}0.007{col 58}{space 4}-5.935319{col 71}{space 3}-1.013865
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.580
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0059
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.999
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.810
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}22.81044

{txt}added scalar:
             e(mean_y) =  {res}6.1278251
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.49
{txt}{col 55}Prob > F      = {res}  0.0286
{txt}Total (centered) SS     = {res} 37.40049436{txt}{col 55}Centered R2   = {res} -0.1977
{txt}Total (uncentered) SS   = {res} 37.40049436{txt}{col 55}Uncentered R2 = {res} -0.1977
{txt}Residual SS             = {res} 44.79469106{txt}{col 55}Root MSE      = {res}    .325

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0399747{col 30}{space 2}   .02122{col 41}{space 1}   -1.88{col 50}{space 3}0.069{col 58}{space 4}-.0832533{col 71}{space 3} .0033039
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0023598{col 30}{space 2}   .00441{col 41}{space 1}    0.54{col 50}{space 3}0.596{col 58}{space 4}-.0066345{col 71}{space 3} .0113542
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0137754{col 30}{space 2} .0071807{col 41}{space 1}    1.92{col 50}{space 3}0.064{col 58}{space 4}-.0008699{col 71}{space 3} .0284206
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0156734{col 30}{space 2} .0075526{col 41}{space 1}    2.08{col 50}{space 3}0.046{col 58}{space 4} .0002697{col 71}{space 3} .0310771
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-22.77055{col 30}{space 2}  112.338{col 41}{space 1}   -0.20{col 50}{space 3}0.841{col 58}{space 4}-251.8855{col 71}{space 3} 206.3444
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}    162.7{col 30}{space 2} 72.09098{col 41}{space 1}    2.26{col 50}{space 3}0.031{col 58}{space 4} 15.66948{col 71}{space 3} 309.7305
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .4793269{col 30}{space 2} 1.125922{col 41}{space 1}    0.43{col 50}{space 3}0.673{col 58}{space 4}-1.817005{col 71}{space 3} 2.775659
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.1092456{col 30}{space 2} .5230132{col 41}{space 1}   -0.21{col 50}{space 3}0.836{col 58}{space 4}-1.175938{col 71}{space 3} .9574468
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.290638{col 30}{space 2} 1.409085{col 41}{space 1}   -2.34{col 50}{space 3}0.026{col 58}{space 4}-6.164487{col 71}{space 3}-.4167895
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.580
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0059
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.999
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.810
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}22.81044

{txt}added scalar:
             e(mean_y) =  {res}5.4096825
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    0.88
{txt}{col 55}Prob > F      = {res}  0.5509
{txt}Total (centered) SS     = {res}  7503.66577{txt}{col 55}Centered R2   = {res} -0.0170
{txt}Total (uncentered) SS   = {res}  7503.66577{txt}{col 55}Uncentered R2 = {res} -0.0170
{txt}Residual SS             = {res} 7631.138536{txt}{col 55}Root MSE      = {res}   4.242

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       perc_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.2131584{col 30}{space 2}  .383878{col 41}{space 1}   -0.56{col 50}{space 3}0.583{col 58}{space 4}-.9960826{col 71}{space 3} .5697659
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0318798{col 30}{space 2}  .058433{col 41}{space 1}   -0.55{col 50}{space 3}0.589{col 58}{space 4}-.1510547{col 71}{space 3} .0872951
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1715131{col 30}{space 2} .1078591{col 41}{space 1}    1.59{col 50}{space 3}0.122{col 58}{space 4} -.048467{col 71}{space 3} .3914932
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0493475{col 30}{space 2} .1109372{col 41}{space 1}    0.44{col 50}{space 3}0.660{col 58}{space 4}-.1769104{col 71}{space 3} .2756054
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1072.964{col 30}{space 2} 1995.285{col 41}{space 1}   -0.54{col 50}{space 3}0.595{col 58}{space 4}-5142.374{col 71}{space 3} 2996.446
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 479.4306{col 30}{space 2} 712.4391{col 41}{space 1}    0.67{col 50}{space 3}0.506{col 58}{space 4}-973.5985{col 71}{space 3}  1932.46
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 11.51467{col 30}{space 2} 19.98876{col 41}{space 1}    0.58{col 50}{space 3}0.569{col 58}{space 4}-29.25266{col 71}{space 3} 52.28201
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-7.223047{col 30}{space 2} 4.280834{col 41}{space 1}   -1.69{col 50}{space 3}0.102{col 58}{space 4}-15.95386{col 71}{space 3} 1.507771
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-7.577535{col 30}{space 2} 14.02663{col 41}{space 1}   -0.54{col 50}{space 3}0.593{col 58}{space 4}-36.18504{col 71}{space 3} 21.02997
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.580
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0059
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.999
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.810
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}22.81044

{txt}added scalar:
             e(mean_y) =  {res}49.453544
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.17
{txt}{col 55}Prob > F      = {res}  0.0079
{txt}Total (centered) SS     = {res} 6718.638924{txt}{col 55}Centered R2   = {res} -0.0964
{txt}Total (uncentered) SS   = {res} 6718.638924{txt}{col 55}Uncentered R2 = {res} -0.0964
{txt}Residual SS             = {res} 7366.646745{txt}{col 55}Root MSE      = {res}   4.168

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}         age_all{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .4153911{col 30}{space 2} .2496855{col 41}{space 1}    1.66{col 50}{space 3}0.106{col 58}{space 4}-.0938459{col 71}{space 3} .9246282
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0081499{col 30}{space 2} .0645646{col 41}{space 1}   -0.13{col 50}{space 3}0.900{col 58}{space 4}-.1398303{col 71}{space 3} .1235305
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1705146{col 30}{space 2} .1038081{col 41}{space 1}   -1.64{col 50}{space 3}0.111{col 58}{space 4}-.3822327{col 71}{space 3} .0412034
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2903156{col 30}{space 2} .1086092{col 41}{space 1}   -2.67{col 50}{space 3}0.012{col 58}{space 4}-.5118256{col 71}{space 3}-.0688056
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 245.7151{col 30}{space 2} 1226.044{col 41}{space 1}    0.20{col 50}{space 3}0.842{col 58}{space 4}-2254.818{col 71}{space 3} 2746.248
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-549.6881{col 30}{space 2} 786.1778{col 41}{space 1}   -0.70{col 50}{space 3}0.490{col 58}{space 4}-2153.108{col 71}{space 3} 1053.732
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.430146{col 30}{space 2} 12.58044{col 41}{space 1}   -0.27{col 50}{space 3}0.787{col 58}{space 4}-29.08812{col 71}{space 3} 22.22783
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.092047{col 30}{space 2} 5.270567{col 41}{space 1}   -0.21{col 50}{space 3}0.837{col 58}{space 4}-11.84144{col 71}{space 3} 9.657346
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 11.56949{col 30}{space 2} 15.39573{col 41}{space 1}    0.75{col 50}{space 3}0.458{col 58}{space 4}-19.83031{col 71}{space 3} 42.96929
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.580
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0059
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.999
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.810
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}22.81044

{txt}added scalar:
             e(mean_y) =  {res}34.560344
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.96
{txt}{col 55}Prob > F      = {res}  0.0116
{txt}Total (centered) SS     = {res} 7978.436394{txt}{col 55}Centered R2   = {res} -0.2191
{txt}Total (uncentered) SS   = {res} 7978.436394{txt}{col 55}Uncentered R2 = {res} -0.2191
{txt}Residual SS             = {res} 9726.701095{txt}{col 55}Root MSE      = {res}    4.79

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_h{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .6293534{col 30}{space 2} .2725359{col 41}{space 1}    2.31{col 50}{space 3}0.028{col 58}{space 4} .0735129{col 71}{space 3} 1.185194
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0243022{col 30}{space 2}  .078924{col 41}{space 1}   -0.31{col 50}{space 3}0.760{col 58}{space 4}-.1852688{col 71}{space 3} .1366645
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.2132137{col 30}{space 2} .1085202{col 41}{space 1}   -1.96{col 50}{space 3}0.058{col 58}{space 4}-.4345421{col 71}{space 3} .0081147
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2706185{col 30}{space 2} .1359982{col 41}{space 1}   -1.99{col 50}{space 3}0.055{col 58}{space 4}-.5479887{col 71}{space 3} .0067516
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 418.3288{col 30}{space 2} 1445.734{col 41}{space 1}    0.29{col 50}{space 3}0.774{col 58}{space 4}-2530.265{col 71}{space 3} 3366.923
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-454.4499{col 30}{space 2} 882.5415{col 41}{space 1}   -0.51{col 50}{space 3}0.610{col 58}{space 4}-2254.405{col 71}{space 3} 1345.505
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-5.040911{col 30}{space 2} 14.64477{col 41}{space 1}   -0.34{col 50}{space 3}0.733{col 58}{space 4}-34.90912{col 71}{space 3}  24.8273
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.4475719{col 30}{space 2} 5.865501{col 41}{space 1}   -0.08{col 50}{space 3}0.940{col 58}{space 4}-12.41034{col 71}{space 3}  11.5152
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 9.463513{col 30}{space 2} 17.61625{col 41}{space 1}    0.54{col 50}{space 3}0.595{col 58}{space 4}-26.46507{col 71}{space 3} 45.39209
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.580
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0059
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.999
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.810
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}22.81044

{txt}added scalar:
             e(mean_y) =  {res}33.320063
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.02
{txt}{col 55}Prob > F      = {res}  0.0711
{txt}Total (centered) SS     = {res} 8966.005795{txt}{col 55}Centered R2   = {res}  0.0137
{txt}Total (uncentered) SS   = {res} 8966.005795{txt}{col 55}Uncentered R2 = {res}  0.0137
{txt}Residual SS             = {res} 8842.896328{txt}{col 55}Root MSE      = {res}   4.567

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_f{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}  .164306{col 30}{space 2} .3171987{col 41}{space 1}    0.52{col 50}{space 3}0.608{col 58}{space 4} -.482625{col 71}{space 3}  .811237
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0098251{col 30}{space 2} .0676161{col 41}{space 1}    0.15{col 50}{space 3}0.885{col 58}{space 4}-.1280788{col 71}{space 3}  .147729
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1048969{col 30}{space 2} .1155518{col 41}{space 1}   -0.91{col 50}{space 3}0.371{col 58}{space 4}-.3405664{col 71}{space 3} .1307725
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.318776{col 30}{space 2} .1035642{col 41}{space 1}   -3.08{col 50}{space 3}0.004{col 58}{space 4}-.5299966{col 71}{space 3}-.1075554
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-198.5976{col 30}{space 2} 1553.037{col 41}{space 1}   -0.13{col 50}{space 3}0.899{col 58}{space 4}-3366.037{col 71}{space 3} 2968.842
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-678.7733{col 30}{space 2} 829.0208{col 41}{space 1}   -0.82{col 50}{space 3}0.419{col 58}{space 4}-2369.572{col 71}{space 3} 1012.026
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .9006565{col 30}{space 2} 16.01433{col 41}{space 1}    0.06{col 50}{space 3}0.956{col 58}{space 4}-31.76078{col 71}{space 3} 33.56209
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-2.111545{col 30}{space 2} 5.204438{col 41}{space 1}   -0.41{col 50}{space 3}0.688{col 58}{space 4}-12.72607{col 71}{space 3} 8.502977
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 14.49125{col 30}{space 2} 16.26179{col 41}{space 1}    0.89{col 50}{space 3}0.380{col 58}{space 4}-18.67488{col 71}{space 3} 47.65738
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.580
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0059
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.999
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.810
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}22.81044

{txt}added scalar:
             e(mean_y) =  {res}35.870359
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.29
{txt}{col 55}Prob > F      = {res}  0.0416
{txt}Total (centered) SS     = {res} 28.09488784{txt}{col 55}Centered R2   = {res} -0.3035
{txt}Total (uncentered) SS   = {res} 28.09488784{txt}{col 55}Uncentered R2 = {res} -0.3035
{txt}Residual SS             = {res} 36.62221128{txt}{col 55}Root MSE      = {res}   .2939

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_year{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0400068{col 30}{space 2} .0195646{col 41}{space 1}   -2.04{col 50}{space 3}0.049{col 58}{space 4}-.0799091{col 71}{space 3}-.0001044
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0026258{col 30}{space 2} .0036613{col 41}{space 1}    0.72{col 50}{space 3}0.479{col 58}{space 4}-.0048415{col 71}{space 3} .0100931
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0077204{col 30}{space 2} .0064459{col 41}{space 1}    1.20{col 50}{space 3}0.240{col 58}{space 4}-.0054261{col 71}{space 3}  .020867
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0156488{col 30}{space 2} .0059789{col 41}{space 1}    2.62{col 50}{space 3}0.014{col 58}{space 4} .0034549{col 71}{space 3} .0278428
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-26.54158{col 30}{space 2} 127.3652{col 41}{space 1}   -0.21{col 50}{space 3}0.836{col 58}{space 4}-286.3046{col 71}{space 3} 233.2214
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 151.8274{col 30}{space 2}  66.7848{col 41}{space 1}    2.27{col 50}{space 3}0.030{col 58}{space 4} 15.61885{col 71}{space 3} 288.0359
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .5110647{col 30}{space 2}   1.2646{col 41}{space 1}    0.40{col 50}{space 3}0.689{col 58}{space 4}-2.068104{col 71}{space 3} 3.090233
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .0810894{col 30}{space 2} .4982044{col 41}{space 1}    0.16{col 50}{space 3}0.872{col 58}{space 4}-.9350052{col 71}{space 3} 1.097184
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.122773{col 30}{space 2} 1.306736{col 41}{space 1}   -2.39{col 50}{space 3}0.023{col 58}{space 4} -5.78788{col 71}{space 3}-.4576664
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   6.925
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0085
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.386
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  19.871
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}19.871198

{txt}added scalar:
             e(mean_y) =  {res}6.1311276
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.20
{txt}{col 55}Prob > F      = {res}  0.0500
{txt}Total (centered) SS     = {res} 48.02382476{txt}{col 55}Centered R2   = {res} -0.0734
{txt}Total (uncentered) SS   = {res} 48.02382476{txt}{col 55}Uncentered R2 = {res} -0.0734
{txt}Residual SS             = {res} 51.54972232{txt}{col 55}Root MSE      = {res}   .3487

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0251901{col 30}{space 2} .0222526{col 41}{space 1}   -1.13{col 50}{space 3}0.266{col 58}{space 4}-.0705745{col 71}{space 3} .0201944
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0012112{col 30}{space 2}  .004509{col 41}{space 1}    0.27{col 50}{space 3}0.790{col 58}{space 4} -.007985{col 71}{space 3} .0104073
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0004325{col 30}{space 2} .0085922{col 41}{space 1}   -0.05{col 50}{space 3}0.960{col 58}{space 4}-.0179563{col 71}{space 3} .0170913
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0185968{col 30}{space 2} .0069509{col 41}{space 1}    2.68{col 50}{space 3}0.012{col 58}{space 4} .0044203{col 71}{space 3} .0327734
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-30.63409{col 30}{space 2} 149.4589{col 41}{space 1}   -0.20{col 50}{space 3}0.839{col 58}{space 4}-335.4574{col 71}{space 3} 274.1892
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 144.3093{col 30}{space 2} 74.66155{col 41}{space 1}    1.93{col 50}{space 3}0.062{col 58}{space 4} -7.96398{col 71}{space 3} 296.5825
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .5430874{col 30}{space 2} 1.487814{col 41}{space 1}    0.37{col 50}{space 3}0.718{col 58}{space 4}-2.491329{col 71}{space 3} 3.577503
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .1803738{col 30}{space 2} .5963833{col 41}{space 1}    0.30{col 50}{space 3}0.764{col 58}{space 4}-1.035958{col 71}{space 3} 1.396706
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-2.999327{col 30}{space 2} 1.442155{col 41}{space 1}   -2.08{col 50}{space 3}0.046{col 58}{space 4}-5.940622{col 71}{space 3}-.0580316
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   6.925
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0085
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.386
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  19.871
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}19.871198

{txt}added scalar:
             e(mean_y) =  {res}5.407024
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.42
{txt}{col 55}Prob > F      = {res}  0.2210
{txt}Total (centered) SS     = {res} 10905.35753{txt}{col 55}Centered R2   = {res} -0.1135
{txt}Total (uncentered) SS   = {res} 10905.35753{txt}{col 55}Uncentered R2 = {res} -0.1135
{txt}Residual SS             = {res} 12143.36373{txt}{col 55}Root MSE      = {res}   5.352

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       perc_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.3054561{col 30}{space 2} .3382556{col 41}{space 1}   -0.90{col 50}{space 3}0.373{col 58}{space 4}-.9953329{col 71}{space 3} .3844207
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0353953{col 30}{space 2} .0891004{col 41}{space 1}    0.40{col 50}{space 3}0.694{col 58}{space 4}-.1463262{col 71}{space 3} .2171168
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1223964{col 30}{space 2}  .176786{col 41}{space 1}    0.69{col 50}{space 3}0.494{col 58}{space 4}-.2381611{col 71}{space 3} .4829539
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0479913{col 30}{space 2} .1690626{col 41}{space 1}   -0.28{col 50}{space 3}0.778{col 58}{space 4}-.3927969{col 71}{space 3} .2968142
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 352.7427{col 30}{space 2} 1820.746{col 41}{space 1}    0.19{col 50}{space 3}0.848{col 58}{space 4}-3360.693{col 71}{space 3} 4066.178
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 126.5036{col 30}{space 2} 951.4319{col 41}{space 1}    0.13{col 50}{space 3}0.895{col 58}{space 4}-1813.955{col 71}{space 3} 2066.962
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.281701{col 30}{space 2}  18.8357{col 41}{space 1}   -0.17{col 50}{space 3}0.863{col 58}{space 4}-41.69737{col 71}{space 3} 35.13397
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 6.274977{col 30}{space 2} 4.490508{col 41}{space 1}    1.40{col 50}{space 3}0.172{col 58}{space 4}-2.883475{col 71}{space 3} 15.43343
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-4.417629{col 30}{space 2} 18.97711{col 41}{space 1}   -0.23{col 50}{space 3}0.817{col 58}{space 4} -43.1217{col 71}{space 3} 34.28644
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   6.925
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0085
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.386
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  19.871
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}19.871198

{txt}added scalar:
             e(mean_y) =  {res}49.723532
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.70
{txt}{col 55}Prob > F      = {res}  0.1306
{txt}Total (centered) SS     = {res} 7476.788242{txt}{col 55}Centered R2   = {res} -0.0310
{txt}Total (uncentered) SS   = {res} 7476.788242{txt}{col 55}Uncentered R2 = {res} -0.0310
{txt}Residual SS             = {res} 7708.217063{txt}{col 55}Root MSE      = {res}   4.264

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}         age_all{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .2593654{col 30}{space 2} .3005153{col 41}{space 1}    0.86{col 50}{space 3}0.395{col 58}{space 4}-.3535396{col 71}{space 3} .8722705
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1143697{col 30}{space 2} .0638676{col 41}{space 1}   -1.79{col 50}{space 3}0.083{col 58}{space 4}-.2446285{col 71}{space 3} .0158892
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0905646{col 30}{space 2} .1454582{col 41}{space 1}    0.62{col 50}{space 3}0.538{col 58}{space 4}-.2060994{col 71}{space 3} .3872286
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.348048{col 30}{space 2}  .111941{col 41}{space 1}   -3.11{col 50}{space 3}0.004{col 58}{space 4}-.5763531{col 71}{space 3}-.1197428
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1374.872{col 30}{space 2} 2421.942{col 41}{space 1}   -0.57{col 50}{space 3}0.574{col 58}{space 4}-6314.456{col 71}{space 3} 3564.712
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-851.0093{col 30}{space 2} 741.8665{col 41}{space 1}   -1.15{col 50}{space 3}0.260{col 58}{space 4}-2364.056{col 71}{space 3} 662.0373
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 12.72644{col 30}{space 2} 24.38411{col 41}{space 1}    0.52{col 50}{space 3}0.605{col 58}{space 4}-37.00529{col 71}{space 3} 62.45817
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.9115309{col 30}{space 2} 6.343728{col 41}{space 1}   -0.14{col 50}{space 3}0.887{col 58}{space 4}-13.84965{col 71}{space 3} 12.02659
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}  17.6027{col 30}{space 2} 14.17324{col 41}{space 1}    1.24{col 50}{space 3}0.224{col 58}{space 4} -11.3038{col 71}{space 3} 46.50921
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   6.925
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0085
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.386
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  19.871
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}19.871198

{txt}added scalar:
             e(mean_y) =  {res}35.285678
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.33
{txt}{col 55}Prob > F      = {res}  0.2612
{txt}Total (centered) SS     = {res} 7788.807247{txt}{col 55}Centered R2   = {res} -0.0410
{txt}Total (uncentered) SS   = {res} 7788.807247{txt}{col 55}Uncentered R2 = {res} -0.0410
{txt}Residual SS             = {res} 8108.517833{txt}{col 55}Root MSE      = {res}   4.373

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_h{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .2868642{col 30}{space 2} .3138138{col 41}{space 1}    0.91{col 50}{space 3}0.368{col 58}{space 4}-.3531633{col 71}{space 3} .9268917
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1674329{col 30}{space 2} .0713219{col 41}{space 1}   -2.35{col 50}{space 3}0.025{col 58}{space 4} -.312895{col 71}{space 3}-.0219709
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1757693{col 30}{space 2} .1226365{col 41}{space 1}    1.43{col 50}{space 3}0.162{col 58}{space 4}-.0743495{col 71}{space 3}  .425888
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2746249{col 30}{space 2} .1245723{col 41}{space 1}   -2.20{col 50}{space 3}0.035{col 58}{space 4}-.5286918{col 71}{space 3}-.0205579
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -408.793{col 30}{space 2} 2204.422{col 41}{space 1}   -0.19{col 50}{space 3}0.854{col 58}{space 4}-4904.742{col 71}{space 3} 4087.156
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 243.0828{col 30}{space 2} 674.4298{col 41}{space 1}    0.36{col 50}{space 3}0.721{col 58}{space 4}-1132.426{col 71}{space 3} 1618.591
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 4.446249{col 30}{space 2} 22.16325{col 41}{space 1}    0.20{col 50}{space 3}0.842{col 58}{space 4}-40.75599{col 71}{space 3} 49.64849
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-3.765121{col 30}{space 2} 5.807514{col 41}{space 1}   -0.65{col 50}{space 3}0.522{col 58}{space 4}-15.60963{col 71}{space 3} 8.079382
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.846289{col 30}{space 2} 13.15564{col 41}{space 1}   -0.29{col 50}{space 3}0.772{col 58}{space 4}-30.67739{col 71}{space 3} 22.98481
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   6.925
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0085
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.386
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  19.871
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}19.871198

{txt}added scalar:
             e(mean_y) =  {res}33.801222
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.92
{txt}{col 55}Prob > F      = {res}  0.0854
{txt}Total (centered) SS     = {res} 11790.90885{txt}{col 55}Centered R2   = {res}  0.0160
{txt}Total (uncentered) SS   = {res} 11790.90885{txt}{col 55}Uncentered R2 = {res}  0.0160
{txt}Residual SS             = {res} 11602.84362{txt}{col 55}Root MSE      = {res}   5.231

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_f{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .1724736{col 30}{space 2} .3760182{col 41}{space 1}    0.46{col 50}{space 3}0.650{col 58}{space 4}-.5944206{col 71}{space 3} .9393678
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0533107{col 30}{space 2} .0785225{col 41}{space 1}   -0.68{col 50}{space 3}0.502{col 58}{space 4}-.2134583{col 71}{space 3} .1068369
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0016301{col 30}{space 2} .1923074{col 41}{space 1}   -0.01{col 50}{space 3}0.993{col 58}{space 4}-.3938437{col 71}{space 3} .3905834
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.3493142{col 30}{space 2} .1760111{col 41}{space 1}   -1.98{col 50}{space 3}0.056{col 58}{space 4}-.7082912{col 71}{space 3} .0096627
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2473.879{col 30}{space 2} 3028.511{col 41}{space 1}   -0.82{col 50}{space 3}0.420{col 58}{space 4}-8650.568{col 71}{space 3}  3702.81
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -2201.49{col 30}{space 2} 962.5115{col 41}{space 1}   -2.29{col 50}{space 3}0.029{col 58}{space 4}-4164.545{col 71}{space 3} -238.435
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  21.9171{col 30}{space 2} 30.58879{col 41}{space 1}    0.72{col 50}{space 3}0.479{col 58}{space 4}-40.46915{col 71}{space 3} 84.30335
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .0191637{col 30}{space 2} 7.229271{col 41}{space 1}    0.00{col 50}{space 3}0.998{col 58}{space 4}-14.72503{col 71}{space 3} 14.76336
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 44.89172{col 30}{space 2} 18.44415{col 41}{space 1}    2.43{col 50}{space 3}0.021{col 58}{space 4} 7.274636{col 71}{space 3} 82.50881
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   6.925
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0085
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.386
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  19.871
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}19.871198

{txt}added scalar:
             e(mean_y) =  {res}36.866427
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.98
{txt}{col 55}Prob > F      = {res}  0.0112
{txt}Total (centered) SS     = {res} 37.93968708{txt}{col 55}Centered R2   = {res} -0.2389
{txt}Total (uncentered) SS   = {res} 37.93968708{txt}{col 55}Uncentered R2 = {res} -0.2389
{txt}Residual SS             = {res} 47.00259589{txt}{col 55}Root MSE      = {res}   .3329

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_year{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0457327{col 30}{space 2} .0194984{col 41}{space 1}   -2.35{col 50}{space 3}0.026{col 58}{space 4}-.0854999{col 71}{space 3}-.0059655
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0014819{col 30}{space 2} .0037861{col 41}{space 1}   -0.39{col 50}{space 3}0.698{col 58}{space 4}-.0092037{col 71}{space 3} .0062398
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0066378{col 30}{space 2} .0050405{col 41}{space 1}    1.32{col 50}{space 3}0.198{col 58}{space 4}-.0036424{col 71}{space 3}  .016918
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0103794{col 30}{space 2} .0066166{col 41}{space 1}    1.57{col 50}{space 3}0.127{col 58}{space 4}-.0031153{col 71}{space 3} .0238741
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-101.5632{col 30}{space 2} 174.7327{col 41}{space 1}   -0.58{col 50}{space 3}0.565{col 58}{space 4}-457.9328{col 71}{space 3} 254.8064
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 162.5011{col 30}{space 2}  73.2788{col 41}{space 1}    2.22{col 50}{space 3}0.034{col 58}{space 4}   13.048{col 71}{space 3} 311.9542
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.299167{col 30}{space 2} 1.753007{col 41}{space 1}    0.74{col 50}{space 3}0.464{col 58}{space 4}-2.276114{col 71}{space 3} 4.874448
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}  .321601{col 30}{space 2} .5877098{col 41}{space 1}    0.55{col 50}{space 3}0.588{col 58}{space 4}-.8770411{col 71}{space 3} 1.520243
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.415437{col 30}{space 2} 1.425662{col 41}{space 1}   -2.40{col 50}{space 3}0.023{col 58}{space 4}-6.323095{col 71}{space 3}-.5077802
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.711
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0055
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.520
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.545
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.545321

{txt}added scalar:
             e(mean_y) =  {res}6.1781476
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.56
{txt}{col 55}Prob > F      = {res}  0.0248
{txt}Total (centered) SS     = {res} 43.30031726{txt}{col 55}Centered R2   = {res} -0.4319
{txt}Total (uncentered) SS   = {res} 43.30031726{txt}{col 55}Uncentered R2 = {res} -0.4319
{txt}Residual SS             = {res} 62.00314868{txt}{col 55}Root MSE      = {res}   .3824

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} -.061947{col 30}{space 2}  .023842{col 41}{space 1}   -2.60{col 50}{space 3}0.014{col 58}{space 4}-.1105732{col 71}{space 3}-.0133209
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0015119{col 30}{space 2} .0042791{col 41}{space 1}   -0.35{col 50}{space 3}0.726{col 58}{space 4}-.0102393{col 71}{space 3} .0072154
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0101409{col 30}{space 2} .0081894{col 41}{space 1}    1.24{col 50}{space 3}0.225{col 58}{space 4}-.0065614{col 71}{space 3} .0268432
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0139408{col 30}{space 2} .0086034{col 41}{space 1}    1.62{col 50}{space 3}0.115{col 58}{space 4}-.0036059{col 71}{space 3} .0314875
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-88.98241{col 30}{space 2} 199.7237{col 41}{space 1}   -0.45{col 50}{space 3}0.659{col 58}{space 4}-496.3216{col 71}{space 3} 318.3568
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 175.0693{col 30}{space 2} 77.51992{col 41}{space 1}    2.26{col 50}{space 3}0.031{col 58}{space 4} 16.96642{col 71}{space 3} 333.1722
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.185959{col 30}{space 2} 2.008196{col 41}{space 1}    0.59{col 50}{space 3}0.559{col 58}{space 4}-2.909784{col 71}{space 3} 5.281701
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .1573684{col 30}{space 2} .6204743{col 41}{space 1}    0.25{col 50}{space 3}0.801{col 58}{space 4}-1.108097{col 71}{space 3} 1.422834
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.621034{col 30}{space 2} 1.519587{col 41}{space 1}   -2.38{col 50}{space 3}0.023{col 58}{space 4}-6.720252{col 71}{space 3}-.5218154
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.711
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0055
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.520
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.545
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.545321

{txt}added scalar:
             e(mean_y) =  {res}5.4821145
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.29
{txt}{col 55}Prob > F      = {res}  0.2814
{txt}Total (centered) SS     = {res}  5257.83224{txt}{col 55}Centered R2   = {res} -0.7213
{txt}Total (uncentered) SS   = {res}  5257.83224{txt}{col 55}Uncentered R2 = {res} -0.7213
{txt}Residual SS             = {res} 9050.517429{txt}{col 55}Root MSE      = {res}    4.62

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       perc_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.8205806{col 30}{space 2} .3234822{col 41}{space 1}   -2.54{col 50}{space 3}0.016{col 58}{space 4}-1.480327{col 71}{space 3}-.1608343
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0140281{col 30}{space 2} .0813046{col 41}{space 1}   -0.17{col 50}{space 3}0.864{col 58}{space 4}  -.17985{col 71}{space 3} .1517937
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .2641666{col 30}{space 2} .1984159{col 41}{space 1}    1.33{col 50}{space 3}0.193{col 58}{space 4}-.1405052{col 71}{space 3} .6688384
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}  .013379{col 30}{space 2} .2121224{col 41}{space 1}    0.06{col 50}{space 3}0.950{col 58}{space 4}-.4192474{col 71}{space 3} .4460054
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1357.677{col 30}{space 2} 1390.082{col 41}{space 1}   -0.98{col 50}{space 3}0.336{col 58}{space 4}-4192.768{col 71}{space 3} 1477.415
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 116.9442{col 30}{space 2} 689.5328{col 41}{space 1}    0.17{col 50}{space 3}0.866{col 58}{space 4}-1289.367{col 71}{space 3} 1523.256
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 14.00804{col 30}{space 2} 13.93201{col 41}{space 1}    1.01{col 50}{space 3}0.322{col 58}{space 4}-14.40649{col 71}{space 3} 42.42257
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-4.026868{col 30}{space 2} 4.042552{col 41}{space 1}   -1.00{col 50}{space 3}0.327{col 58}{space 4}-12.27171{col 71}{space 3} 4.217971
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-1.042396{col 30}{space 2} 13.82097{col 41}{space 1}   -0.08{col 50}{space 3}0.940{col 58}{space 4}-29.23045{col 71}{space 3} 27.14566
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.711
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0055
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.520
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.545
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.545321

{txt}added scalar:
             e(mean_y) =  {res}50.030139
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.83
{txt}{col 55}Prob > F      = {res}  0.1024
{txt}Total (centered) SS     = {res} 3554.760062{txt}{col 55}Centered R2   = {res} -0.2536
{txt}Total (uncentered) SS   = {res} 3554.760062{txt}{col 55}Uncentered R2 = {res} -0.2536
{txt}Residual SS             = {res} 4456.143227{txt}{col 55}Root MSE      = {res}   3.242

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}         age_all{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .4359719{col 30}{space 2} .2040085{col 41}{space 1}    2.14{col 50}{space 3}0.041{col 58}{space 4} .0198939{col 71}{space 3} .8520498
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0384792{col 30}{space 2} .0424417{col 41}{space 1}    0.91{col 50}{space 3}0.372{col 58}{space 4}-.0480813{col 71}{space 3} .1250396
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1332835{col 30}{space 2} .0939294{col 41}{space 1}   -1.42{col 50}{space 3}0.166{col 58}{space 4}-.3248537{col 71}{space 3} .0582868
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0280181{col 30}{space 2} .1468852{col 41}{space 1}   -0.19{col 50}{space 3}0.850{col 58}{space 4}-.3275923{col 71}{space 3} .2715562
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-265.2993{col 30}{space 2} 1499.071{col 41}{space 1}   -0.18{col 50}{space 3}0.861{col 58}{space 4}-3322.675{col 71}{space 3} 2792.076
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1393.946{col 30}{space 2} 433.5626{col 41}{space 1}   -3.22{col 50}{space 3}0.003{col 58}{space 4}-2278.203{col 71}{space 3}-509.6894
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .6816844{col 30}{space 2} 15.17754{col 41}{space 1}    0.04{col 50}{space 3}0.964{col 58}{space 4} -30.2731{col 71}{space 3} 31.63647
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 3.627124{col 30}{space 2}  3.77219{col 41}{space 1}    0.96{col 50}{space 3}0.344{col 58}{space 4}-4.066308{col 71}{space 3} 11.32056
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 27.36991{col 30}{space 2} 8.634063{col 41}{space 1}    3.17{col 50}{space 3}0.003{col 58}{space 4} 9.760621{col 71}{space 3} 44.97919
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.711
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0055
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.520
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.545
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.545321

{txt}added scalar:
             e(mean_y) =  {res}37.585005
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.81
{txt}{col 55}Prob > F      = {res}  0.1070
{txt}Total (centered) SS     = {res} 3638.780689{txt}{col 55}Centered R2   = {res} -0.4196
{txt}Total (uncentered) SS   = {res} 3638.780689{txt}{col 55}Uncentered R2 = {res} -0.4196
{txt}Residual SS             = {res} 5165.784913{txt}{col 55}Root MSE      = {res}    3.49

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_h{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}  .574459{col 30}{space 2} .2370679{col 41}{space 1}    2.42{col 50}{space 3}0.021{col 58}{space 4} .0909559{col 71}{space 3} 1.057962
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0406989{col 30}{space 2} .0529829{col 41}{space 1}    0.77{col 50}{space 3}0.448{col 58}{space 4}-.0673606{col 71}{space 3} .1487583
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1389015{col 30}{space 2} .1086561{col 41}{space 1}   -1.28{col 50}{space 3}0.211{col 58}{space 4}-.3605072{col 71}{space 3} .0827042
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0039719{col 30}{space 2} .1337646{col 41}{space 1}    0.03{col 50}{space 3}0.977{col 58}{space 4}-.2688429{col 71}{space 3} .2767867
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-384.0686{col 30}{space 2} 1750.262{col 41}{space 1}   -0.22{col 50}{space 3}0.828{col 58}{space 4}-3953.752{col 71}{space 3} 3185.615
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1315.361{col 30}{space 2} 504.1902{col 41}{space 1}   -2.61{col 50}{space 3}0.014{col 58}{space 4}-2343.664{col 71}{space 3}-287.0581
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 2.025257{col 30}{space 2} 17.92503{col 41}{space 1}    0.11{col 50}{space 3}0.911{col 58}{space 4}-34.53309{col 71}{space 3}  38.5836
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 4.263282{col 30}{space 2} 4.102766{col 41}{space 1}    1.04{col 50}{space 3}0.307{col 58}{space 4}-4.104364{col 71}{space 3} 12.63093
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 25.55659{col 30}{space 2} 10.19286{col 41}{space 1}    2.51{col 50}{space 3}0.018{col 58}{space 4} 4.768115{col 71}{space 3} 46.34507
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.711
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0055
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.520
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.545
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.545321

{txt}added scalar:
             e(mean_y) =  {res}36.09979
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.22
{txt}{col 55}Prob > F      = {res}  0.0072
{txt}Total (centered) SS     = {res} 5178.294116{txt}{col 55}Centered R2   = {res} -0.0372
{txt}Total (uncentered) SS   = {res} 5178.294116{txt}{col 55}Uncentered R2 = {res} -0.0372
{txt}Residual SS             = {res} 5370.712558{txt}{col 55}Root MSE      = {res}   3.559

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_f{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .2115807{col 30}{space 2} .2226419{col 41}{space 1}    0.95{col 50}{space 3}0.349{col 58}{space 4}-.2425004{col 71}{space 3} .6656617
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0451058{col 30}{space 2} .0560163{col 41}{space 1}    0.81{col 50}{space 3}0.427{col 58}{space 4}-.0691401{col 71}{space 3} .1593518
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  -.10599{col 30}{space 2} .0957007{col 41}{space 1}   -1.11{col 50}{space 3}0.277{col 58}{space 4}-.3011729{col 71}{space 3} .0891929
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0326789{col 30}{space 2} .1674105{col 41}{space 1}   -0.20{col 50}{space 3}0.847{col 58}{space 4}-.3741148{col 71}{space 3}  .308757
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-422.2792{col 30}{space 2} 1243.839{col 41}{space 1}   -0.34{col 50}{space 3}0.737{col 58}{space 4}-2959.105{col 71}{space 3} 2114.547
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1405.274{col 30}{space 2} 557.6152{col 41}{space 1}   -2.52{col 50}{space 3}0.017{col 58}{space 4}-2542.538{col 71}{space 3}-268.0105
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 2.243427{col 30}{space 2}  12.3377{col 41}{space 1}    0.18{col 50}{space 3}0.857{col 58}{space 4}-22.91948{col 71}{space 3} 27.40633
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}  1.92731{col 30}{space 2} 3.871642{col 41}{space 1}    0.50{col 50}{space 3}0.622{col 58}{space 4}-5.968955{col 71}{space 3} 9.823575
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 28.15459{col 30}{space 2} 11.56477{col 41}{space 1}    2.43{col 50}{space 3}0.021{col 58}{space 4} 4.568084{col 71}{space 3}  51.7411
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.711
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0055
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.520
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.545
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.545321

{txt}added scalar:
             e(mean_y) =  {res}39.115038
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.68
{txt}{col 55}Prob > F      = {res}  0.0198
{txt}Total (centered) SS     = {res}  39.9827953{txt}{col 55}Centered R2   = {res} -0.1864
{txt}Total (uncentered) SS   = {res}  39.9827953{txt}{col 55}Uncentered R2 = {res} -0.1864
{txt}Residual SS             = {res} 47.43682614{txt}{col 55}Root MSE      = {res}   .3345

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_year{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0440757{col 30}{space 2} .0197449{col 41}{space 1}   -2.23{col 50}{space 3}0.033{col 58}{space 4}-.0843457{col 71}{space 3}-.0038056
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} -.001879{col 30}{space 2} .0040669{col 41}{space 1}   -0.46{col 50}{space 3}0.647{col 58}{space 4}-.0101736{col 71}{space 3} .0064156
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0065651{col 30}{space 2} .0050662{col 41}{space 1}    1.30{col 50}{space 3}0.205{col 58}{space 4}-.0037675{col 71}{space 3} .0168976
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}  .011118{col 30}{space 2}  .006297{col 41}{space 1}    1.77{col 50}{space 3}0.087{col 58}{space 4}-.0017249{col 71}{space 3} .0239609
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -121.271{col 30}{space 2} 169.9344{col 41}{space 1}   -0.71{col 50}{space 3}0.481{col 58}{space 4}-467.8545{col 71}{space 3} 225.3124
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 180.9788{col 30}{space 2} 76.40669{col 41}{space 1}    2.37{col 50}{space 3}0.024{col 58}{space 4} 25.14631{col 71}{space 3} 336.8113
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.529214{col 30}{space 2}  1.70401{col 41}{space 1}    0.90{col 50}{space 3}0.376{col 58}{space 4}-1.946138{col 71}{space 3} 5.004566
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .3599595{col 30}{space 2} .5590626{col 41}{space 1}    0.64{col 50}{space 3}0.524{col 58}{space 4}-.7802563{col 71}{space 3} 1.500175
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.805192{col 30}{space 2} 1.506241{col 41}{space 1}   -2.53{col 50}{space 3}0.017{col 58}{space 4}-6.877191{col 71}{space 3} -.733193
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.232
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0041
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.085
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.458
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.457744

{txt}added scalar:
             e(mean_y) =  {res}6.2111415
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.91
{txt}{col 55}Prob > F      = {res}  0.0128
{txt}Total (centered) SS     = {res} 46.49832269{txt}{col 55}Centered R2   = {res} -0.3681
{txt}Total (uncentered) SS   = {res} 46.49832269{txt}{col 55}Uncentered R2 = {res} -0.3681
{txt}Residual SS             = {res} 63.61341698{txt}{col 55}Root MSE      = {res}   .3873

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0610661{col 30}{space 2} .0236203{col 41}{space 1}   -2.59{col 50}{space 3}0.015{col 58}{space 4}  -.10924{col 71}{space 3}-.0128922
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0005535{col 30}{space 2} .0045829{col 41}{space 1}   -0.12{col 50}{space 3}0.905{col 58}{space 4}-.0099005{col 71}{space 3} .0087934
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0102736{col 30}{space 2} .0080681{col 41}{space 1}    1.27{col 50}{space 3}0.212{col 58}{space 4}-.0061815{col 71}{space 3} .0267286
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0122039{col 30}{space 2} .0090208{col 41}{space 1}    1.35{col 50}{space 3}0.186{col 58}{space 4}-.0061942{col 71}{space 3} .0306021
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-115.1083{col 30}{space 2} 187.3968{col 41}{space 1}   -0.61{col 50}{space 3}0.544{col 58}{space 4}-497.3066{col 71}{space 3}   267.09
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 191.8557{col 30}{space 2} 84.55382{col 41}{space 1}    2.27{col 50}{space 3}0.030{col 58}{space 4} 19.40708{col 71}{space 3} 364.3044
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.478405{col 30}{space 2} 1.881781{col 41}{space 1}    0.79{col 50}{space 3}0.438{col 58}{space 4}-2.359512{col 71}{space 3} 5.316322
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .2052684{col 30}{space 2} .5926797{col 41}{space 1}    0.35{col 50}{space 3}0.731{col 58}{space 4} -1.00351{col 71}{space 3} 1.414047
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.980488{col 30}{space 2} 1.678712{col 41}{space 1}   -2.37{col 50}{space 3}0.024{col 58}{space 4}-7.404243{col 71}{space 3}-.5567325
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.232
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0041
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.085
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.458
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.457744

{txt}added scalar:
             e(mean_y) =  {res}5.517645
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.57
{txt}{col 55}Prob > F      = {res}  0.1687
{txt}Total (centered) SS     = {res} 5951.914013{txt}{col 55}Centered R2   = {res} -0.4910
{txt}Total (uncentered) SS   = {res} 5951.914013{txt}{col 55}Uncentered R2 = {res} -0.4910
{txt}Residual SS             = {res} 8874.552176{txt}{col 55}Root MSE      = {res}   4.575

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       perc_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.7664619{col 30}{space 2} .2861086{col 41}{space 1}   -2.68{col 50}{space 3}0.012{col 58}{space 4}-1.349984{col 71}{space 3}-.1829396
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0190054{col 30}{space 2} .0772523{col 41}{space 1}    0.25{col 50}{space 3}0.807{col 58}{space 4}-.1385516{col 71}{space 3} .1765624
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1881591{col 30}{space 2}  .171948{col 41}{space 1}    1.09{col 50}{space 3}0.282{col 58}{space 4}-.1625311{col 71}{space 3} .5388494
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0339294{col 30}{space 2} .2093538{col 41}{space 1}    0.16{col 50}{space 3}0.872{col 58}{space 4}-.3930505{col 71}{space 3} .4609094
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1273.985{col 30}{space 2} 1485.175{col 41}{space 1}   -0.86{col 50}{space 3}0.398{col 58}{space 4} -4303.02{col 71}{space 3} 1755.049
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-23.89938{col 30}{space 2} 798.8594{col 41}{space 1}   -0.03{col 50}{space 3}0.976{col 58}{space 4}-1653.184{col 71}{space 3} 1605.385
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 12.89787{col 30}{space 2} 14.72947{col 41}{space 1}    0.88{col 50}{space 3}0.388{col 58}{space 4}-17.14308{col 71}{space 3} 42.93882
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.235299{col 30}{space 2}  4.47047{col 41}{space 1}   -1.17{col 50}{space 3}0.250{col 58}{space 4}-14.35288{col 71}{space 3} 3.882284
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 2.155358{col 30}{space 2}  15.9672{col 41}{space 1}    0.13{col 50}{space 3}0.893{col 58}{space 4}-30.40995{col 71}{space 3} 34.72067
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.232
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0041
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.085
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.458
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.457744

{txt}added scalar:
             e(mean_y) =  {res}50.137373
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.08
{txt}{col 55}Prob > F      = {res}  0.0630
{txt}Total (centered) SS     = {res} 3689.355436{txt}{col 55}Centered R2   = {res} -0.4031
{txt}Total (uncentered) SS   = {res} 3689.355436{txt}{col 55}Uncentered R2 = {res} -0.4031
{txt}Residual SS             = {res} 5176.713139{txt}{col 55}Root MSE      = {res}   3.494

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}         age_all{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .5403394{col 30}{space 2} .2255231{col 41}{space 1}    2.40{col 50}{space 3}0.023{col 58}{space 4} .0803819{col 71}{space 3} 1.000297
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0027615{col 30}{space 2} .0493402{col 41}{space 1}    0.06{col 50}{space 3}0.956{col 58}{space 4}-.0978685{col 71}{space 3} .1033915
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.2362373{col 30}{space 2} .1271485{col 41}{space 1}   -1.86{col 50}{space 3}0.073{col 58}{space 4}-.4955584{col 71}{space 3} .0230838
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0106601{col 30}{space 2} .1610247{col 41}{space 1}    0.07{col 50}{space 3}0.948{col 58}{space 4} -.317752{col 71}{space 3} .3390722
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-432.6679{col 30}{space 2} 1431.901{col 41}{space 1}   -0.30{col 50}{space 3}0.765{col 58}{space 4}-3353.049{col 71}{space 3} 2487.713
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1149.848{col 30}{space 2} 608.2089{col 41}{space 1}   -1.89{col 50}{space 3}0.068{col 58}{space 4}-2390.299{col 71}{space 3} 90.60183
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 2.780934{col 30}{space 2} 14.51694{col 41}{space 1}    0.19{col 50}{space 3}0.849{col 58}{space 4}-26.82656{col 71}{space 3} 32.38843
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.801667{col 30}{space 2} 2.989759{col 41}{space 1}    0.60{col 50}{space 3}0.551{col 58}{space 4}-4.295986{col 71}{space 3}  7.89932
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 22.96376{col 30}{space 2}  12.1671{col 41}{space 1}    1.89{col 50}{space 3}0.069{col 58}{space 4} -1.85119{col 71}{space 3} 47.77872
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.232
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0041
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.085
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.458
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.457744

{txt}added scalar:
             e(mean_y) =  {res}38.990007
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.47
{txt}{col 55}Prob > F      = {res}  0.2013
{txt}Total (centered) SS     = {res} 4206.599598{txt}{col 55}Centered R2   = {res} -0.5696
{txt}Total (uncentered) SS   = {res} 4206.599598{txt}{col 55}Uncentered R2 = {res} -0.5696
{txt}Residual SS             = {res} 6602.740011{txt}{col 55}Root MSE      = {res}   3.946

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_h{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .6884925{col 30}{space 2} .2428755{col 41}{space 1}    2.83{col 50}{space 3}0.008{col 58}{space 4} .1931446{col 71}{space 3}  1.18384
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0069085{col 30}{space 2} .0583626{col 41}{space 1}   -0.12{col 50}{space 3}0.907{col 58}{space 4}-.1259398{col 71}{space 3} .1121228
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1744558{col 30}{space 2} .1595868{col 41}{space 1}   -1.09{col 50}{space 3}0.283{col 58}{space 4}-.4999353{col 71}{space 3} .1510236
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0175691{col 30}{space 2} .1752896{col 41}{space 1}    0.10{col 50}{space 3}0.921{col 58}{space 4}-.3399363{col 71}{space 3} .3750746
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -700.396{col 30}{space 2} 1585.662{col 41}{space 1}   -0.44{col 50}{space 3}0.662{col 58}{space 4}-3934.376{col 71}{space 3} 2533.583
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1070.353{col 30}{space 2} 690.7695{col 41}{space 1}   -1.55{col 50}{space 3}0.131{col 58}{space 4}-2479.187{col 71}{space 3} 338.4803
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 5.616832{col 30}{space 2} 16.02776{col 41}{space 1}    0.35{col 50}{space 3}0.728{col 58}{space 4}-27.07199{col 71}{space 3} 38.30566
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.063508{col 30}{space 2} 3.473979{col 41}{space 1}    0.59{col 50}{space 3}0.557{col 58}{space 4}-5.021718{col 71}{space 3} 9.148735
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 21.21085{col 30}{space 2} 14.06645{col 41}{space 1}    1.51{col 50}{space 3}0.142{col 58}{space 4}-7.477878{col 71}{space 3} 49.89957
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.232
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0041
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.085
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.458
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.457744

{txt}added scalar:
             e(mean_y) =  {res}37.716567
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.51
{txt}{col 55}Prob > F      = {res}  0.0043
{txt}Total (centered) SS     = {res} 5240.227159{txt}{col 55}Centered R2   = {res} -0.0691
{txt}Total (uncentered) SS   = {res} 5240.227159{txt}{col 55}Uncentered R2 = {res} -0.0691
{txt}Residual SS             = {res} 5602.569349{txt}{col 55}Root MSE      = {res}   3.635

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_f{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .3025597{col 30}{space 2} .2484966{col 41}{space 1}    1.22{col 50}{space 3}0.233{col 58}{space 4}-.2042525{col 71}{space 3}  .809372
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0235896{col 30}{space 2} .0542287{col 41}{space 1}    0.44{col 50}{space 3}0.667{col 58}{space 4}-.0870105{col 71}{space 3} .1341897
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.2664134{col 30}{space 2} .1259914{col 41}{space 1}   -2.11{col 50}{space 3}0.043{col 58}{space 4}-.5233746{col 71}{space 3}-.0094521
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0037895{col 30}{space 2} .1450437{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-.2920292{col 71}{space 3} .2996082
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-396.3912{col 30}{space 2} 1313.322{col 41}{space 1}   -0.30{col 50}{space 3}0.765{col 58}{space 4}-3074.928{col 71}{space 3} 2282.146
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1225.548{col 30}{space 2}  709.442{col 41}{space 1}   -1.73{col 50}{space 3}0.094{col 58}{space 4}-2672.464{col 71}{space 3} 221.3688
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 2.301168{col 30}{space 2} 13.36986{col 41}{space 1}    0.17{col 50}{space 3}0.864{col 58}{space 4}-24.96683{col 71}{space 3} 29.56917
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .9041436{col 30}{space 2} 2.701434{col 41}{space 1}    0.33{col 50}{space 3}0.740{col 58}{space 4}-4.605468{col 71}{space 3} 6.413755
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 24.84754{col 30}{space 2} 14.21974{col 41}{space 1}    1.75{col 50}{space 3}0.090{col 58}{space 4}-4.153817{col 71}{space 3}  53.8489
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.232
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0041
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.085
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.458
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.457744

{txt}added scalar:
             e(mean_y) =  {res}40.35164
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.60
{txt}{col 55}Prob > F      = {res}  0.0231
{txt}Total (centered) SS     = {res} 41.03628798{txt}{col 55}Centered R2   = {res} -0.1962
{txt}Total (uncentered) SS   = {res} 41.03628798{txt}{col 55}Uncentered R2 = {res} -0.1962
{txt}Residual SS             = {res} 49.08964123{txt}{col 55}Root MSE      = {res}   .3403

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_year{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0479411{col 30}{space 2} .0184359{col 41}{space 1}   -2.60{col 50}{space 3}0.014{col 58}{space 4}-.0855413{col 71}{space 3}-.0103408
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0032413{col 30}{space 2} .0044287{col 41}{space 1}   -0.73{col 50}{space 3}0.470{col 58}{space 4}-.0122738{col 71}{space 3} .0057912
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0049524{col 30}{space 2} .0061633{col 41}{space 1}    0.80{col 50}{space 3}0.428{col 58}{space 4}-.0076177{col 71}{space 3} .0175226
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0160652{col 30}{space 2} .0059214{col 41}{space 1}    2.71{col 50}{space 3}0.011{col 58}{space 4} .0039884{col 71}{space 3}  .028142
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-104.3556{col 30}{space 2} 162.2285{col 41}{space 1}   -0.64{col 50}{space 3}0.525{col 58}{space 4}-435.2229{col 71}{space 3} 226.5117
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 179.6338{col 30}{space 2} 77.13213{col 41}{space 1}    2.33{col 50}{space 3}0.027{col 58}{space 4}  22.3218{col 71}{space 3} 336.9458
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.352827{col 30}{space 2} 1.623851{col 41}{space 1}    0.83{col 50}{space 3}0.411{col 58}{space 4}-1.959039{col 71}{space 3} 4.664694
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .3892807{col 30}{space 2} .5802468{col 41}{space 1}    0.67{col 50}{space 3}0.507{col 58}{space 4}-.7941404{col 71}{space 3} 1.572702
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.784969{col 30}{space 2} 1.525482{col 41}{space 1}   -2.48{col 50}{space 3}0.019{col 58}{space 4} -6.89621{col 71}{space 3}-.6737275
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.496
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.287
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  30.887
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}30.887148

{txt}added scalar:
             e(mean_y) =  {res}6.2407911
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.24
{txt}{col 55}Prob > F      = {res}  0.0461
{txt}Total (centered) SS     = {res}  46.2503026{txt}{col 55}Centered R2   = {res} -0.2858
{txt}Total (uncentered) SS   = {res}  46.2503026{txt}{col 55}Uncentered R2 = {res} -0.2858
{txt}Residual SS             = {res} 59.47005179{txt}{col 55}Root MSE      = {res}   .3745

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0570096{col 30}{space 2} .0227521{col 41}{space 1}   -2.51{col 50}{space 3}0.018{col 58}{space 4}-.1034128{col 71}{space 3}-.0106064
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0010117{col 30}{space 2} .0048072{col 41}{space 1}   -0.21{col 50}{space 3}0.835{col 58}{space 4} -.010816{col 71}{space 3} .0087927
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0078724{col 30}{space 2} .0072874{col 41}{space 1}    1.08{col 50}{space 3}0.288{col 58}{space 4}-.0069904{col 71}{space 3} .0227353
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0162629{col 30}{space 2} .0072216{col 41}{space 1}    2.25{col 50}{space 3}0.032{col 58}{space 4} .0015343{col 71}{space 3} .0309916
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-111.8814{col 30}{space 2} 174.4808{col 41}{space 1}   -0.64{col 50}{space 3}0.526{col 58}{space 4}-467.7373{col 71}{space 3} 243.9745
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}  179.697{col 30}{space 2} 84.01525{col 41}{space 1}    2.14{col 50}{space 3}0.040{col 58}{space 4} 8.346737{col 71}{space 3} 351.0472
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.422788{col 30}{space 2} 1.743444{col 41}{space 1}    0.82{col 50}{space 3}0.421{col 58}{space 4}-2.132989{col 71}{space 3} 4.978565
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .1433445{col 30}{space 2} .6030004{col 41}{space 1}    0.24{col 50}{space 3}0.814{col 58}{space 4}-1.086483{col 71}{space 3} 1.373172
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.711748{col 30}{space 2} 1.680276{col 41}{space 1}   -2.21{col 50}{space 3}0.035{col 58}{space 4}-7.138694{col 71}{space 3}-.2848016
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.496
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.287
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  30.887
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}30.887148

{txt}added scalar:
             e(mean_y) =  {res}5.5455288
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.24
{txt}{col 55}Prob > F      = {res}  0.3073
{txt}Total (centered) SS     = {res} 6095.130458{txt}{col 55}Centered R2   = {res} -0.1382
{txt}Total (uncentered) SS   = {res} 6095.130458{txt}{col 55}Uncentered R2 = {res} -0.1382
{txt}Residual SS             = {res} 6937.259163{txt}{col 55}Root MSE      = {res}   4.045

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       perc_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.4578569{col 30}{space 2} .2702177{col 41}{space 1}   -1.69{col 50}{space 3}0.100{col 58}{space 4} -1.00897{col 71}{space 3} .0932557
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0446776{col 30}{space 2}  .052219{col 41}{space 1}    0.86{col 50}{space 3}0.399{col 58}{space 4}-.0618238{col 71}{space 3} .1511789
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1979851{col 30}{space 2} .1090557{col 41}{space 1}    1.82{col 50}{space 3}0.079{col 58}{space 4}-.0244354{col 71}{space 3} .4204056
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0169877{col 30}{space 2} .1226774{col 41}{space 1}    0.14{col 50}{space 3}0.891{col 58}{space 4}-.2332145{col 71}{space 3} .2671899
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1088.238{col 30}{space 2} 1202.446{col 41}{space 1}   -0.91{col 50}{space 3}0.372{col 58}{space 4}-3540.644{col 71}{space 3} 1364.167
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 215.0799{col 30}{space 2} 748.0907{col 41}{space 1}    0.29{col 50}{space 3}0.776{col 58}{space 4}-1310.661{col 71}{space 3} 1740.821
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 11.21601{col 30}{space 2}  11.8538{col 41}{space 1}    0.95{col 50}{space 3}0.351{col 58}{space 4}-12.95997{col 71}{space 3} 35.39199
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-11.56872{col 30}{space 2} 4.658084{col 41}{space 1}   -2.48{col 50}{space 3}0.019{col 58}{space 4}-21.06895{col 71}{space 3}  -2.0685
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-.8504032{col 30}{space 2} 15.08354{col 41}{space 1}   -0.06{col 50}{space 3}0.955{col 58}{space 4}-31.61348{col 71}{space 3} 29.91268
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.496
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.287
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  30.887
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}30.887148

{txt}added scalar:
             e(mean_y) =  {res}49.96357
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.53
{txt}{col 55}Prob > F      = {res}  0.1809
{txt}Total (centered) SS     = {res} 3803.008808{txt}{col 55}Centered R2   = {res} -0.5435
{txt}Total (uncentered) SS   = {res} 3803.008808{txt}{col 55}Uncentered R2 = {res} -0.5435
{txt}Residual SS             = {res} 5870.011062{txt}{col 55}Root MSE      = {res}   3.721

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}         age_all{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .6023753{col 30}{space 2} .2545101{col 41}{space 1}    2.37{col 50}{space 3}0.024{col 58}{space 4} .0832986{col 71}{space 3} 1.121452
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0351411{col 30}{space 2} .0577504{col 41}{space 1}   -0.61{col 50}{space 3}0.547{col 58}{space 4}-.1529238{col 71}{space 3} .0826415
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.179017{col 30}{space 2}  .147293{col 41}{space 1}   -1.22{col 50}{space 3}0.233{col 58}{space 4} -.479423{col 71}{space 3} .1213889
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.098848{col 30}{space 2} .1546771{col 41}{space 1}   -0.64{col 50}{space 3}0.527{col 58}{space 4}-.4143141{col 71}{space 3} .2166181
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-102.0896{col 30}{space 2} 1422.601{col 41}{space 1}   -0.07{col 50}{space 3}0.943{col 58}{space 4}-3003.504{col 71}{space 3} 2799.325
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1074.509{col 30}{space 2} 733.2145{col 41}{space 1}   -1.47{col 50}{space 3}0.153{col 58}{space 4} -2569.91{col 71}{space 3}  420.892
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-.4906113{col 30}{space 2} 14.33169{col 41}{space 1}   -0.03{col 50}{space 3}0.973{col 58}{space 4}-29.72029{col 71}{space 3} 28.73906
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.163968{col 30}{space 2} 4.312763{col 41}{space 1}    0.50{col 50}{space 3}0.619{col 58}{space 4} -6.63197{col 71}{space 3} 10.95991
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 21.28954{col 30}{space 2} 14.30045{col 41}{space 1}    1.49{col 50}{space 3}0.147{col 58}{space 4}-7.876422{col 71}{space 3} 50.45551
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.496
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.287
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  30.887
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}30.887148

{txt}added scalar:
             e(mean_y) =  {res}40.067761
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.34
{txt}{col 55}Prob > F      = {res}  0.2560
{txt}Total (centered) SS     = {res} 5177.631253{txt}{col 55}Centered R2   = {res} -0.5562
{txt}Total (uncentered) SS   = {res} 5177.631253{txt}{col 55}Uncentered R2 = {res} -0.5562
{txt}Residual SS             = {res} 8057.275566{txt}{col 55}Root MSE      = {res}   4.359

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_h{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .6977735{col 30}{space 2}  .274145{col 41}{space 1}    2.55{col 50}{space 3}0.016{col 58}{space 4} .1386511{col 71}{space 3} 1.256896
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} -.060423{col 30}{space 2} .0641402{col 41}{space 1}   -0.94{col 50}{space 3}0.353{col 58}{space 4}-.1912379{col 71}{space 3} .0703919
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0911472{col 30}{space 2} .2017462{col 41}{space 1}   -0.45{col 50}{space 3}0.655{col 58}{space 4}-.5026112{col 71}{space 3} .3203168
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0674946{col 30}{space 2} .1735093{col 41}{space 1}   -0.39{col 50}{space 3}0.700{col 58}{space 4}-.4213691{col 71}{space 3} .2863799
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-912.1302{col 30}{space 2}  1534.93{col 41}{space 1}   -0.59{col 50}{space 3}0.557{col 58}{space 4}-4042.642{col 71}{space 3} 2218.381
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1043.692{col 30}{space 2}   790.31{col 41}{space 1}   -1.32{col 50}{space 3}0.196{col 58}{space 4} -2655.54{col 71}{space 3} 568.1555
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 7.840449{col 30}{space 2} 15.24405{col 41}{space 1}    0.51{col 50}{space 3}0.611{col 58}{space 4}-23.24999{col 71}{space 3} 38.93089
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}  2.84598{col 30}{space 2} 3.990937{col 41}{space 1}    0.71{col 50}{space 3}0.481{col 58}{space 4}-5.293589{col 71}{space 3} 10.98555
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 20.39446{col 30}{space 2} 15.75205{col 41}{space 1}    1.29{col 50}{space 3}0.205{col 58}{space 4}-11.73206{col 71}{space 3} 52.52097
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.496
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.287
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  30.887
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}30.887148

{txt}added scalar:
             e(mean_y) =  {res}38.968799
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.08
{txt}{col 55}Prob > F      = {res}  0.0630
{txt}Total (centered) SS     = {res} 5541.448892{txt}{col 55}Centered R2   = {res} -0.1747
{txt}Total (uncentered) SS   = {res} 5541.448892{txt}{col 55}Uncentered R2 = {res} -0.1747
{txt}Residual SS             = {res} 6509.291043{txt}{col 55}Root MSE      = {res}   3.918

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_f{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .4525532{col 30}{space 2} .2588095{col 41}{space 1}    1.75{col 50}{space 3}0.090{col 58}{space 4}-.0752923{col 71}{space 3} .9803988
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0069872{col 30}{space 2} .0622031{col 41}{space 1}   -0.11{col 50}{space 3}0.911{col 58}{space 4}-.1338513{col 71}{space 3} .1198768
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.2600894{col 30}{space 2} .1250326{col 41}{space 1}   -2.08{col 50}{space 3}0.046{col 58}{space 4}-.5150951{col 71}{space 3}-.0050838
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1183148{col 30}{space 2} .1320195{col 41}{space 1}   -0.90{col 50}{space 3}0.377{col 58}{space 4}-.3875704{col 71}{space 3} .1509407
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 369.3814{col 30}{space 2} 1463.313{col 41}{space 1}    0.25{col 50}{space 3}0.802{col 58}{space 4}-2615.065{col 71}{space 3} 3353.827
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1106.639{col 30}{space 2} 820.1942{col 41}{space 1}   -1.35{col 50}{space 3}0.187{col 58}{space 4}-2779.436{col 71}{space 3} 566.1586
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-5.376798{col 30}{space 2} 15.00834{col 41}{space 1}   -0.36{col 50}{space 3}0.723{col 58}{space 4} -35.9865{col 71}{space 3} 25.23291
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .5985028{col 30}{space 2} 4.843608{col 41}{space 1}    0.12{col 50}{space 3}0.902{col 58}{space 4}  -9.2801{col 71}{space 3} 10.47711
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 22.48894{col 30}{space 2} 15.98096{col 41}{space 1}    1.41{col 50}{space 3}0.169{col 58}{space 4}-10.10444{col 71}{space 3} 55.08232
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.496
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.287
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  30.887
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}30.887148

{txt}added scalar:
             e(mean_y) =  {res}41.246488
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.33
{txt}{col 55}Prob > F      = {res}  0.0387
{txt}Total (centered) SS     = {res} 42.57142838{txt}{col 55}Centered R2   = {res} -0.0329
{txt}Total (uncentered) SS   = {res} 42.57142838{txt}{col 55}Uncentered R2 = {res} -0.0329
{txt}Residual SS             = {res} 43.97365363{txt}{col 55}Root MSE      = {res}    .322

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_year{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0309342{col 30}{space 2} .0189312{col 41}{space 1}   -1.63{col 50}{space 3}0.112{col 58}{space 4}-.0695447{col 71}{space 3} .0076763
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0049121{col 30}{space 2} .0046189{col 41}{space 1}   -1.06{col 50}{space 3}0.296{col 58}{space 4}-.0143324{col 71}{space 3} .0045083
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0044602{col 30}{space 2} .0056384{col 41}{space 1}    0.79{col 50}{space 3}0.435{col 58}{space 4}-.0070394{col 71}{space 3} .0159599
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}  .014254{col 30}{space 2}  .006824{col 41}{space 1}    2.09{col 50}{space 3}0.045{col 58}{space 4} .0003363{col 71}{space 3} .0281717
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-119.9068{col 30}{space 2} 152.3393{col 41}{space 1}   -0.79{col 50}{space 3}0.437{col 58}{space 4}-430.6048{col 71}{space 3} 190.7912
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}  155.059{col 30}{space 2} 71.31124{col 41}{space 1}    2.17{col 50}{space 3}0.037{col 58}{space 4} 9.618782{col 71}{space 3} 300.4992
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.470809{col 30}{space 2} 1.522088{col 41}{space 1}    0.97{col 50}{space 3}0.341{col 58}{space 4}-1.633509{col 71}{space 3} 4.575127
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .3189758{col 30}{space 2} .4630452{col 41}{space 1}    0.69{col 50}{space 3}0.496{col 58}{space 4}-.6254111{col 71}{space 3} 1.263363
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.264047{col 30}{space 2} 1.412555{col 41}{space 1}   -2.31{col 50}{space 3}0.028{col 58}{space 4}-6.144972{col 71}{space 3}-.3831217
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.786
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0030
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.405
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  26.745
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}26.745348

{txt}added scalar:
             e(mean_y) =  {res}6.2615374
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.74
{txt}{col 55}Prob > F      = {res}  0.1219
{txt}Total (centered) SS     = {res} 46.47990752{txt}{col 55}Centered R2   = {res} -0.0647
{txt}Total (uncentered) SS   = {res} 46.47990752{txt}{col 55}Uncentered R2 = {res} -0.0647
{txt}Residual SS             = {res} 49.48886399{txt}{col 55}Root MSE      = {res}   .3416

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0350671{col 30}{space 2} .0219277{col 41}{space 1}   -1.60{col 50}{space 3}0.120{col 58}{space 4}-.0797889{col 71}{space 3} .0096547
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0015499{col 30}{space 2} .0050259{col 41}{space 1}   -0.31{col 50}{space 3}0.760{col 58}{space 4}-.0118002{col 71}{space 3} .0087004
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0042635{col 30}{space 2} .0059873{col 41}{space 1}    0.71{col 50}{space 3}0.482{col 58}{space 4}-.0079477{col 71}{space 3} .0164746
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0144654{col 30}{space 2} .0069051{col 41}{space 1}    2.09{col 50}{space 3}0.044{col 58}{space 4} .0003824{col 71}{space 3} .0285484
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-124.6407{col 30}{space 2} 167.0844{col 41}{space 1}   -0.75{col 50}{space 3}0.461{col 58}{space 4}-465.4116{col 71}{space 3} 216.1301
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 150.2709{col 30}{space 2} 77.29366{col 41}{space 1}    1.94{col 50}{space 3}0.061{col 58}{space 4}-7.370614{col 71}{space 3} 307.9123
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  1.50885{col 30}{space 2} 1.670293{col 41}{space 1}    0.90{col 50}{space 3}0.373{col 58}{space 4}-1.897734{col 71}{space 3} 4.915434
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .1494326{col 30}{space 2} .4613897{col 41}{space 1}    0.32{col 50}{space 3}0.748{col 58}{space 4} -.791578{col 71}{space 3} 1.090443
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.113456{col 30}{space 2} 1.554975{col 41}{space 1}   -2.00{col 50}{space 3}0.054{col 58}{space 4}-6.284849{col 71}{space 3} .0579376
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.786
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0030
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.405
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  26.745
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}26.745348

{txt}added scalar:
             e(mean_y) =  {res}5.5613725
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.54
{txt}{col 55}Prob > F      = {res}  0.1770
{txt}Total (centered) SS     = {res} 5677.051347{txt}{col 55}Centered R2   = {res}  0.0322
{txt}Total (uncentered) SS   = {res} 5677.051347{txt}{col 55}Uncentered R2 = {res}  0.0322
{txt}Residual SS             = {res} 5494.247172{txt}{col 55}Root MSE      = {res}     3.6

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       perc_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0312566{col 30}{space 2}  .240285{col 41}{space 1}   -0.13{col 50}{space 3}0.897{col 58}{space 4}-.5213211{col 71}{space 3} .4588078
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0684571{col 30}{space 2} .0596935{col 41}{space 1}    1.15{col 50}{space 3}0.260{col 58}{space 4}-.0532886{col 71}{space 3} .1902028
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0039832{col 30}{space 2} .1112318{col 41}{space 1}    0.04{col 50}{space 3}0.972{col 58}{space 4}-.2228756{col 71}{space 3}  .230842
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0876158{col 30}{space 2} .1316736{col 41}{space 1}    0.67{col 50}{space 3}0.511{col 58}{space 4}-.1809342{col 71}{space 3} .3561658
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -162.077{col 30}{space 2} 1340.661{col 41}{space 1}   -0.12{col 50}{space 3}0.905{col 58}{space 4}-2896.374{col 71}{space 3}  2572.22
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-516.0507{col 30}{space 2} 679.2067{col 41}{space 1}   -0.76{col 50}{space 3}0.453{col 58}{space 4}-1901.302{col 71}{space 3} 869.2005
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  .699986{col 30}{space 2} 13.68844{col 41}{space 1}    0.05{col 50}{space 3}0.960{col 58}{space 4}-27.21777{col 71}{space 3} 28.61774
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-8.836953{col 30}{space 2} 5.167585{col 41}{space 1}   -1.71{col 50}{space 3}0.097{col 58}{space 4}-19.37631{col 71}{space 3} 1.702407
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 13.25615{col 30}{space 2} 13.67841{col 41}{space 1}    0.97{col 50}{space 3}0.340{col 58}{space 4}-14.64116{col 71}{space 3} 41.15345
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.786
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0030
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.405
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  26.745
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}26.745348

{txt}added scalar:
             e(mean_y) =  {res}49.898272
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.06
{txt}{col 55}Prob > F      = {res}  0.0098
{txt}Total (centered) SS     = {res} 3761.342374{txt}{col 55}Centered R2   = {res} -0.1556
{txt}Total (uncentered) SS   = {res} 3761.342374{txt}{col 55}Uncentered R2 = {res} -0.1556
{txt}Residual SS             = {res} 4346.535013{txt}{col 55}Root MSE      = {res}   3.202

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}         age_all{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .4118948{col 30}{space 2} .2443835{col 41}{space 1}    1.69{col 50}{space 3}0.102{col 58}{space 4}-.0865285{col 71}{space 3} .9103182
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .017853{col 30}{space 2} .0486155{col 41}{space 1}    0.37{col 50}{space 3}0.716{col 58}{space 4}-.0812989{col 71}{space 3}  .117005
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0015107{col 30}{space 2} .1248908{col 41}{space 1}    0.01{col 50}{space 3}0.990{col 58}{space 4}-.2532058{col 71}{space 3} .2562272
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1977285{col 30}{space 2} .0958835{col 41}{space 1}   -2.06{col 50}{space 3}0.048{col 58}{space 4}-.3932841{col 71}{space 3}-.0021729
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 875.7569{col 30}{space 2} 1207.034{col 41}{space 1}    0.73{col 50}{space 3}0.474{col 58}{space 4}-1586.006{col 71}{space 3}  3337.52
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1064.823{col 30}{space 2} 673.6865{col 41}{space 1}   -1.58{col 50}{space 3}0.124{col 58}{space 4}-2438.815{col 71}{space 3} 309.1698
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} -10.4656{col 30}{space 2} 12.05719{col 41}{space 1}   -0.87{col 50}{space 3}0.392{col 58}{space 4} -35.0564{col 71}{space 3}  14.1252
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.894714{col 30}{space 2} 4.301579{col 41}{space 1}    0.44{col 50}{space 3}0.663{col 58}{space 4}-6.878414{col 71}{space 3} 10.66784
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 21.15806{col 30}{space 2} 13.32474{col 41}{space 1}    1.59{col 50}{space 3}0.122{col 58}{space 4}-6.017925{col 71}{space 3} 48.33405
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.786
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0030
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.405
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  26.745
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}26.745348

{txt}added scalar:
             e(mean_y) =  {res}41.314486
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.61
{txt}{col 55}Prob > F      = {res}  0.0226
{txt}Total (centered) SS     = {res} 4005.576309{txt}{col 55}Centered R2   = {res} -0.0299
{txt}Total (uncentered) SS   = {res} 4005.576309{txt}{col 55}Uncentered R2 = {res} -0.0299
{txt}Residual SS             = {res} 4125.142788{txt}{col 55}Root MSE      = {res}   3.119

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_h{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .2756244{col 30}{space 2} .2399036{col 41}{space 1}    1.15{col 50}{space 3}0.259{col 58}{space 4}-.2136621{col 71}{space 3}  .764911
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .029679{col 30}{space 2} .0488258{col 41}{space 1}    0.61{col 50}{space 3}0.548{col 58}{space 4}-.0699019{col 71}{space 3} .1292598
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0307199{col 30}{space 2} .1069297{col 41}{space 1}    0.29{col 50}{space 3}0.776{col 58}{space 4}-.1873647{col 71}{space 3} .2488045
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2060068{col 30}{space 2} .0778077{col 41}{space 1}   -2.65{col 50}{space 3}0.013{col 58}{space 4}-.3646966{col 71}{space 3} -.047317
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1596.863{col 30}{space 2} 1245.182{col 41}{space 1}    1.28{col 50}{space 3}0.209{col 58}{space 4}-942.7023{col 71}{space 3} 4136.427
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-314.8452{col 30}{space 2}   550.31{col 41}{space 1}   -0.57{col 50}{space 3}0.571{col 58}{space 4} -1437.21{col 71}{space 3} 807.5195
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} -16.7844{col 30}{space 2} 12.63135{col 41}{space 1}   -1.33{col 50}{space 3}0.194{col 58}{space 4} -42.5462{col 71}{space 3}  8.97741
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .0715914{col 30}{space 2} 3.274698{col 41}{space 1}    0.02{col 50}{space 3}0.983{col 58}{space 4}-6.607199{col 71}{space 3} 6.750382
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 6.330305{col 30}{space 2} 10.88571{col 41}{space 1}    0.58{col 50}{space 3}0.565{col 58}{space 4}-15.87124{col 71}{space 3} 28.53185
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.786
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0030
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.405
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  26.745
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}26.745348

{txt}added scalar:
             e(mean_y) =  {res}40.252444
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.20
{txt}{col 55}Prob > F      = {res}  0.0074
{txt}Total (centered) SS     = {res} 5655.980828{txt}{col 55}Centered R2   = {res} -0.1904
{txt}Total (uncentered) SS   = {res} 5655.980828{txt}{col 55}Uncentered R2 = {res} -0.1904
{txt}Residual SS             = {res} 6732.983451{txt}{col 55}Root MSE      = {res}   3.985

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_f{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .5172798{col 30}{space 2} .2749777{col 41}{space 1}    1.88{col 50}{space 3}0.069{col 58}{space 4}-.0435409{col 71}{space 3}   1.0781
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0016552{col 30}{space 2} .0616188{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-.1240171{col 71}{space 3} .1273275
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0233773{col 30}{space 2} .1598412{col 41}{space 1}   -0.15{col 50}{space 3}0.885{col 58}{space 4}-.3493756{col 71}{space 3}  .302621
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1602356{col 30}{space 2} .1147854{col 41}{space 1}   -1.40{col 50}{space 3}0.173{col 58}{space 4}-.3943419{col 71}{space 3} .0738707
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 293.6175{col 30}{space 2} 1423.888{col 41}{space 1}    0.21{col 50}{space 3}0.838{col 58}{space 4} -2610.42{col 71}{space 3} 3197.655
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1734.331{col 30}{space 2} 918.1423{col 41}{space 1}   -1.89{col 50}{space 3}0.068{col 58}{space 4}-3606.895{col 71}{space 3} 138.2325
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-5.483734{col 30}{space 2} 14.12661{col 41}{space 1}   -0.39{col 50}{space 3}0.701{col 58}{space 4}-34.29514{col 71}{space 3} 23.32767
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.081981{col 30}{space 2} 5.850469{col 41}{space 1}    0.36{col 50}{space 3}0.724{col 58}{space 4}-9.850129{col 71}{space 3} 14.01409
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 34.84334{col 30}{space 2} 18.24037{col 41}{space 1}    1.91{col 50}{space 3}0.065{col 58}{space 4}-2.358148{col 71}{space 3} 72.04483
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.786
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0030
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.405
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  26.745
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}26.745348

{txt}added scalar:
             e(mean_y) =  {res}42.442048
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.42
{txt}{col 55}Prob > F      = {res}  0.0324
{txt}Total (centered) SS     = {res} 42.81553625{txt}{col 55}Centered R2   = {res} -0.0541
{txt}Total (uncentered) SS   = {res} 42.81553625{txt}{col 55}Uncentered R2 = {res} -0.0541
{txt}Residual SS             = {res} 45.13394454{txt}{col 55}Root MSE      = {res}   .3263

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_year{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0333041{col 30}{space 2} .0189333{col 41}{space 1}   -1.76{col 50}{space 3}0.088{col 58}{space 4}-.0719189{col 71}{space 3} .0053107
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0045919{col 30}{space 2}   .00494{col 41}{space 1}   -0.93{col 50}{space 3}0.360{col 58}{space 4} -.014667{col 71}{space 3} .0054832
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0034711{col 30}{space 2}  .006343{col 41}{space 1}    0.55{col 50}{space 3}0.588{col 58}{space 4}-.0094655{col 71}{space 3} .0164077
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0115873{col 30}{space 2} .0067803{col 41}{space 1}    1.71{col 50}{space 3}0.097{col 58}{space 4}-.0022411{col 71}{space 3} .0254157
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-138.6057{col 30}{space 2}  151.436{col 41}{space 1}   -0.92{col 50}{space 3}0.367{col 58}{space 4}-447.4614{col 71}{space 3} 170.2499
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 167.6865{col 30}{space 2} 70.55386{col 41}{space 1}    2.38{col 50}{space 3}0.024{col 58}{space 4} 23.79098{col 71}{space 3} 311.5821
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.682764{col 30}{space 2}  1.51694{col 41}{space 1}    1.11{col 50}{space 3}0.276{col 58}{space 4}-1.411055{col 71}{space 3} 4.776583
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .3658001{col 30}{space 2} .4520673{col 41}{space 1}    0.81{col 50}{space 3}0.425{col 58}{space 4}-.5561972{col 71}{space 3} 1.287797
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.536194{col 30}{space 2}  1.39878{col 41}{space 1}   -2.53{col 50}{space 3}0.017{col 58}{space 4}-6.389024{col 71}{space 3}-.6833645
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.430
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0037
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.541
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.340
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.33997

{txt}added scalar:
             e(mean_y) =  {res}6.2601853
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.33
{txt}{col 55}Prob > F      = {res}  0.2597
{txt}Total (centered) SS     = {res} 48.83981187{txt}{col 55}Centered R2   = {res} -0.0536
{txt}Total (uncentered) SS   = {res} 48.83981187{txt}{col 55}Uncentered R2 = {res} -0.0536
{txt}Residual SS             = {res} 51.45546594{txt}{col 55}Root MSE      = {res}   .3484

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       lpop_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0333827{col 30}{space 2}  .022297{col 41}{space 1}   -1.50{col 50}{space 3}0.144{col 58}{space 4}-.0788577{col 71}{space 3} .0120923
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0007535{col 30}{space 2} .0054575{col 41}{space 1}   -0.14{col 50}{space 3}0.891{col 58}{space 4}-.0118841{col 71}{space 3} .0103771
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0038667{col 30}{space 2} .0073052{col 41}{space 1}    0.53{col 50}{space 3}0.600{col 58}{space 4}-.0110324{col 71}{space 3} .0187657
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0111724{col 30}{space 2} .0073254{col 41}{space 1}    1.53{col 50}{space 3}0.137{col 58}{space 4}-.0037678{col 71}{space 3} .0261125
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-145.2254{col 30}{space 2} 163.9018{col 41}{space 1}   -0.89{col 50}{space 3}0.382{col 58}{space 4}-479.5052{col 71}{space 3} 189.0545
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 146.1767{col 30}{space 2} 76.63473{col 41}{space 1}    1.91{col 50}{space 3}0.066{col 58}{space 4} -10.1209{col 71}{space 3} 302.4742
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.716128{col 30}{space 2} 1.648464{col 41}{space 1}    1.04{col 50}{space 3}0.306{col 58}{space 4}-1.645938{col 71}{space 3} 5.078193
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .2646557{col 30}{space 2}  .440725{col 41}{space 1}    0.60{col 50}{space 3}0.553{col 58}{space 4}-.6342089{col 71}{space 3}  1.16352
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.064441{col 30}{space 2} 1.540063{col 41}{space 1}   -1.99{col 50}{space 3}0.055{col 58}{space 4} -6.20542{col 71}{space 3} .0765382
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.430
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0037
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.541
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.340
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.33997

{txt}added scalar:
             e(mean_y) =  {res}5.5621283
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.73
{txt}{col 55}Prob > F      = {res}  0.1229
{txt}Total (centered) SS     = {res} 9046.709217{txt}{col 55}Centered R2   = {res} -0.0191
{txt}Total (uncentered) SS   = {res} 9046.709217{txt}{col 55}Uncentered R2 = {res} -0.0191
{txt}Residual SS             = {res}  9219.40393{txt}{col 55}Root MSE      = {res}   4.663

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       perc_male{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .1446671{col 30}{space 2} .2473428{col 41}{space 1}    0.58{col 50}{space 3}0.563{col 58}{space 4}-.3597919{col 71}{space 3} .6491261
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0894312{col 30}{space 2} .0781812{col 41}{space 1}    1.14{col 50}{space 3}0.261{col 58}{space 4}-.0700205{col 71}{space 3} .2488829
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.049886{col 30}{space 2}  .131918{col 41}{space 1}   -0.38{col 50}{space 3}0.708{col 58}{space 4}-.3189345{col 71}{space 3} .2191625
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0984765{col 30}{space 2} .1426715{col 41}{space 1}    0.69{col 50}{space 3}0.495{col 58}{space 4}-.1925039{col 71}{space 3} .3894569
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 147.9347{col 30}{space 2} 1853.632{col 41}{space 1}    0.08{col 50}{space 3}0.937{col 58}{space 4}-3632.572{col 71}{space 3} 3928.442
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-980.3295{col 30}{space 2} 773.1269{col 41}{space 1}   -1.27{col 50}{space 3}0.214{col 58}{space 4}-2557.132{col 71}{space 3} 596.4733
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.127096{col 30}{space 2} 18.94262{col 41}{space 1}   -0.17{col 50}{space 3}0.870{col 58}{space 4}-41.76082{col 71}{space 3} 35.50663
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-6.519003{col 30}{space 2}  6.81407{col 41}{space 1}   -0.96{col 50}{space 3}0.346{col 58}{space 4}-20.41639{col 71}{space 3} 7.378384
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 22.04708{col 30}{space 2} 15.45167{col 41}{space 1}    1.43{col 50}{space 3}0.164{col 58}{space 4}  -9.4668{col 71}{space 3} 53.56096
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.430
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0037
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.541
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.340
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.33997

{txt}added scalar:
             e(mean_y) =  {res}49.902351
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    5.20
{txt}{col 55}Prob > F      = {res}  0.0003
{txt}Total (centered) SS     = {res} 5233.403559{txt}{col 55}Centered R2   = {res} -0.0056
{txt}Total (uncentered) SS   = {res} 5233.403559{txt}{col 55}Uncentered R2 = {res} -0.0056
{txt}Residual SS             = {res} 5262.731595{txt}{col 55}Root MSE      = {res}   3.523

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}         age_all{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .2910291{col 30}{space 2} .2914309{col 41}{space 1}    1.00{col 50}{space 3}0.326{col 58}{space 4}-.3033482{col 71}{space 3} .8854064
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0584003{col 30}{space 2} .0636552{col 41}{space 1}    0.92{col 50}{space 3}0.366{col 58}{space 4}-.0714252{col 71}{space 3} .1882259
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0420857{col 30}{space 2}  .121901{col 41}{space 1}    0.35{col 50}{space 3}0.732{col 58}{space 4}-.2065332{col 71}{space 3} .2907045
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1993257{col 30}{space 2} .0908943{col 41}{space 1}   -2.19{col 50}{space 3}0.036{col 58}{space 4}-.3847058{col 71}{space 3}-.0139456
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1425.294{col 30}{space 2} 1342.777{col 41}{space 1}    1.06{col 50}{space 3}0.297{col 58}{space 4}-1313.319{col 71}{space 3} 4163.906
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1230.501{col 30}{space 2} 716.2414{col 41}{space 1}   -1.72{col 50}{space 3}0.096{col 58}{space 4}-2691.285{col 71}{space 3} 230.2832
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-16.32755{col 30}{space 2} 13.44815{col 41}{space 1}   -1.21{col 50}{space 3}0.234{col 58}{space 4}-43.75523{col 71}{space 3} 11.10012
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.246872{col 30}{space 2} 4.423433{col 41}{space 1}    0.51{col 50}{space 3}0.615{col 58}{space 4} -6.77478{col 71}{space 3} 11.26852
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 24.43171{col 30}{space 2} 14.30321{col 41}{space 1}    1.71{col 50}{space 3}0.098{col 58}{space 4}-4.739866{col 71}{space 3} 53.60329
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.430
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0037
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.541
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.340
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.33997

{txt}added scalar:
             e(mean_y) =  {res}41.84869
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.98
{txt}{col 55}Prob > F      = {res}  0.0113
{txt}Total (centered) SS     = {res} 6701.482894{txt}{col 55}Centered R2   = {res}  0.0643
{txt}Total (uncentered) SS   = {res} 6701.482894{txt}{col 55}Uncentered R2 = {res}  0.0643
{txt}Residual SS             = {res} 6270.788914{txt}{col 55}Root MSE      = {res}   3.846

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_h{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0240401{col 30}{space 2} .3062286{col 41}{space 1}   -0.08{col 50}{space 3}0.938{col 58}{space 4}-.6485975{col 71}{space 3} .6005172
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0940094{col 30}{space 2} .0797415{col 41}{space 1}    1.18{col 50}{space 3}0.247{col 58}{space 4}-.0686244{col 71}{space 3} .2566433
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0751189{col 30}{space 2} .1154302{col 41}{space 1}    0.65{col 50}{space 3}0.520{col 58}{space 4}-.1603025{col 71}{space 3} .3105403
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.283646{col 30}{space 2} .1182303{col 41}{space 1}   -2.40{col 50}{space 3}0.023{col 58}{space 4}-.5247784{col 71}{space 3}-.0425136
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 3491.506{col 30}{space 2} 1682.265{col 41}{space 1}    2.08{col 50}{space 3}0.046{col 58}{space 4} 60.50322{col 71}{space 3} 6922.509
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 153.4354{col 30}{space 2} 577.7719{col 41}{space 1}    0.27{col 50}{space 3}0.792{col 58}{space 4}-1024.938{col 71}{space 3} 1331.809
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-35.50632{col 30}{space 2} 17.04169{col 41}{space 1}   -2.08{col 50}{space 3}0.046{col 58}{space 4}-70.26308{col 71}{space 3}-.7495592
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.295429{col 30}{space 2} 4.517066{col 41}{space 1}   -0.29{col 50}{space 3}0.776{col 58}{space 4}-10.50805{col 71}{space 3} 7.917187
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-2.813103{col 30}{space 2}  11.3283{col 41}{space 1}   -0.25{col 50}{space 3}0.806{col 58}{space 4}-25.91731{col 71}{space 3} 20.29111
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.430
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0037
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.541
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.340
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.33997

{txt}added scalar:
             e(mean_y) =  {res}40.831663
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.41
{txt}{col 55}Prob > F      = {res}  0.0051
{txt}Total (centered) SS     = {res} 8183.316528{txt}{col 55}Centered R2   = {res} -0.1371
{txt}Total (uncentered) SS   = {res} 8183.316528{txt}{col 55}Uncentered R2 = {res} -0.1371
{txt}Residual SS             = {res} 9304.984534{txt}{col 55}Root MSE      = {res}   4.685

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}           age_f{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .5370543{col 30}{space 2}  .363987{col 41}{space 1}    1.48{col 50}{space 3}0.150{col 58}{space 4}-.2053021{col 71}{space 3} 1.279411
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0323307{col 30}{space 2} .0766789{col 41}{space 1}    0.42{col 50}{space 3}0.676{col 58}{space 4}-.1240569{col 71}{space 3} .1887182
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0328203{col 30}{space 2} .1752881{col 41}{space 1}    0.19{col 50}{space 3}0.853{col 58}{space 4}-.3246822{col 71}{space 3} .3903228
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1179526{col 30}{space 2} .1151747{col 41}{space 1}   -1.02{col 50}{space 3}0.314{col 58}{space 4}-.3528529{col 71}{space 3} .1169477
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1.203791{col 30}{space 2} 1809.041{col 41}{space 1}    0.00{col 50}{space 3}0.999{col 58}{space 4} -3688.36{col 71}{space 3} 3690.767
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2349.894{col 30}{space 2} 1167.941{col 41}{space 1}   -2.01{col 50}{space 3}0.053{col 58}{space 4}-4731.925{col 71}{space 3} 32.13727
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.350807{col 30}{space 2} 18.07724{col 41}{space 1}   -0.19{col 50}{space 3}0.854{col 58}{space 4}-40.21958{col 71}{space 3} 33.51797
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 4.441696{col 30}{space 2} 6.375088{col 41}{space 1}    0.70{col 50}{space 3}0.491{col 58}{space 4}-8.560381{col 71}{space 3} 17.44377
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 46.68486{col 30}{space 2} 23.23068{col 41}{space 1}    2.01{col 50}{space 3}0.053{col 58}{space 4}-.6944166{col 71}{space 3} 94.06414
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.430
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0037
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.541
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.340
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.33997

{txt}added scalar:
             e(mean_y) =  {res}43.02747
{txt}
{com}. 
. ******************************
. ***** 2. TABLE FOR PAPER *****
. ******************************
. 
. // Fixed effects
. 
. estfe . lpop_year* lpop_male* perc_male* age_all* age_h* age_f*, labels(dialect_lux "Historical dialects")
{res}{txt}
{com}. return list

{txt}macros:
        r(indicate_fe) : "{res} "Historical dialects=0.dialect_lux"  "borderfe25=0.borderfe25" "dialect_mos=0.dialect_mos" "dialect_rhe=0.dialect_rhe" "diale{txt}.."

{com}. 
. // Labels
. 
. la var perc_i_full "\\ Conscription proxy (\%)"
{txt}
{com}. 
. // Table
. 
. estout lpop_year* ///
>         using "$results\\$program.tex", replace style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         stats(mean_y, lab("Mean dep. variable") fmt(2)) ///
>         title(Compositional effects: Effects on population and age) ///
>         prehead( ///
>         "\begin{c -(}table{c )-}[t!]" ///
>         "\begin{c -(}center{c )-}" ///
>         "\begin{c -(}threeparttable{c )-}" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\caption{c -(}@title\label{c -(}$program{c )-}{c )-}" ///
>         "\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}@M{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}" ///
>         "\hline" "\hline" ///
>         "&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\" ///   
>         "       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\" ///
>         "\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}" ///
>         "\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "&\multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: 2SLS Estimates. Dep. Variable: Log population{c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
\begin{c -(}table{c )-}[t!]
\begin{c -(}center{c )-}
\begin{c -(}threeparttable{c )-}
\begin{c -(}scriptsize{c )-}
\caption{c -(}Compositional effects: Effects on population and age\label{c -(}EEREV-D-21-00004_TableC9{c )-}{c )-}
\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}8{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}
\hline
\hline
&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\
       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\
\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\
\cmidrule(lr){c -(}2-9{c )-}
&\multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: 2SLS Estimates. Dep. Variable: Log population{c )-}\\
\hline
\\ Conscription proxy (\%)&     --0.038** &     --0.041** &     --0.040** &     --0.046** &     --0.044** &     --0.048** &     --0.031   &     --0.033*  \\
                    &     (0.016)   &     (0.018)   &     (0.020)   &     (0.019)   &     (0.020)   &     (0.018)   &     (0.019)   &     (0.019)   \\

Mean dep. variable  &        6.13   &        6.13   &        6.13   &        6.18   &        6.21   &        6.24   &        6.26   &        6.26   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC9.tex"'})

{com}. 
. estout lpop_male* ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y, lab("Mean dep. variable") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: 2SLS Estimates. Dep. Variable: Log male population{c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: 2SLS Estimates. Dep. Variable: Log male population{c )-}\\
\hline
\\ Conscription proxy (\%)&     --0.041*  &     --0.040*  &     --0.025   &     --0.062** &     --0.061** &     --0.057** &     --0.035   &     --0.033   \\
                    &     (0.022)   &     (0.021)   &     (0.022)   &     (0.024)   &     (0.024)   &     (0.023)   &     (0.022)   &     (0.022)   \\

Mean dep. variable  &        5.40   &        5.41   &        5.41   &        5.48   &        5.52   &        5.55   &        5.56   &        5.56   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC9.tex"'})

{com}. 
. estout perc_male* ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y, lab("Mean dep. variable") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C: 2SLS Estimates. Dep. Variable: Male (\%){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C: 2SLS Estimates. Dep. Variable: Male (\%){c )-}\\
\hline
\\ Conscription proxy (\%)&     --0.263   &     --0.213   &     --0.305   &     --0.821** &     --0.766** &     --0.458   &     --0.031   &       0.145   \\
                    &     (0.430)   &     (0.384)   &     (0.338)   &     (0.323)   &     (0.286)   &     (0.270)   &     (0.240)   &     (0.247)   \\

Mean dep. variable  &       49.37   &       49.45   &       49.72   &       50.03   &       50.14   &       49.96   &       49.90   &       49.90   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC9.tex"'})

{com}. 
. estout age_all* ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y, lab("Mean dep. variable") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel D: 2SLS Estimates. Dep. Variable: Average age{c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel D: 2SLS Estimates. Dep. Variable: Average age{c )-}\\
\hline
\\ Conscription proxy (\%)&       0.417   &       0.415   &       0.259   &       0.436** &       0.540** &       0.602** &       0.412   &       0.291   \\
                    &     (0.258)   &     (0.250)   &     (0.301)   &     (0.204)   &     (0.226)   &     (0.255)   &     (0.244)   &     (0.291)   \\

Mean dep. variable  &       34.51   &       34.56   &       35.29   &       37.59   &       38.99   &       40.07   &       41.31   &       41.85   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC9.tex"'})

{com}. 
. estout age_h* ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y, lab("Mean dep. variable") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel E: 2SLS Estimates. Dep. Variable: Male average age{c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel E: 2SLS Estimates. Dep. Variable: Male average age{c )-}\\
\hline
\\ Conscription proxy (\%)&       0.680** &       0.629** &       0.287   &       0.574** &       0.688***&       0.698** &       0.276   &     --0.024   \\
                    &     (0.286)   &     (0.273)   &     (0.314)   &     (0.237)   &     (0.243)   &     (0.274)   &     (0.240)   &     (0.306)   \\

Mean dep. variable  &       33.36   &       33.32   &       33.80   &       36.10   &       37.72   &       38.97   &       40.25   &       40.83   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC9.tex"'})

{com}. 
. estout age_f* ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y, lab("Mean dep. variable") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel F: 2SLS Estimates. Dep. Variable: Female average age{c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel F: 2SLS Estimates. Dep. Variable: Female average age{c )-}\\
\hline
\\ Conscription proxy (\%)&       0.125   &       0.164   &       0.172   &       0.212   &       0.303   &       0.453*  &       0.517*  &       0.537   \\
                    &     (0.335)   &     (0.317)   &     (0.376)   &     (0.223)   &     (0.248)   &     (0.259)   &     (0.275)   &     (0.364)   \\

Mean dep. variable  &       35.77   &       35.87   &       36.87   &       39.12   &       40.35   &       41.25   &       42.44   &       43.03   \\

{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC9.tex"'})

{com}. 
. estout age_h* ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(F_fs N N_clust, lab("First-stage $ F $-statistic" "Observations" "Clusters") fmt(2 0 0)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         drop(*) ///     
>         indicate( ///   
>         "Border segment FE = 0.borderfe25" ///
>         "Historical dialect FE = 0.dialect_lux" ///
>         "Full set of controls = perc_b_1903_1912" ///
>         , labels(Yes )) ///
>         prehead("\\ Lat-lon polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ ") ///
>         posthead("") ///
>         prefoot("\hline") ///
>         postfoot("\hline" "\hline" ///
>         "\end{c -(}tabular*{c )-}" /// 
>         "\end{c -(}scriptsize{c )-}" ///
>         "\begin{c -(}tablenotes{c )-}[normal,flushleft]" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\item \emph{c -(}Notes{c )-}:" /// 
>         "2SLS estimates of the effect of conscription into the Wehrmacht on population, age, education, and employment outcomes. " ///
>         "The unit of observation is a municipality. " ///
>         "Standard errors clustered at the canton level in parentheses. " ///
>         "Panel A: 2SLS estimates for log population; " ///
>         "Panel A: 2SLS estimates for log male population; " ///
>         "Panel A: 2SLS estimates for fraction of males; " ///
>         "Panel A: 2SLS estimates for average age; " ///
>         "Panel A: 2SLS estimates for average male age; " ///
>         "Panel A: 2SLS estimates for average female age. " ///
>         "Each column presents the estimation for a different election. " ///
>         "The contemporary controls vector does not include any demographic characteristics. " ///
>         "All specifications include a quadratic polynomial in latitude and longitude ($ x+y+x^2+y^2+xy $). " ///
>         "First-stage F-statistic is the Kleibergen-Paap rk Wald F-statistic of the first-stage estimation. " ///
>         "* significant at 10\%; ** at 5\%; *** at 1\%. " ///    
>         "\end{c -(}scriptsize{c )-}" ///
>         "\end{c -(}tablenotes{c )-}" ///
>         "\end{c -(}threeparttable{c )-}" ///
>         "\end{c -(}center{c )-}" ///
>         "\end{c -(}table{c )-}")
{res}
\\ Lat-lon polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ 

Border segment FE   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Historical dialect FE &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Full set of controls &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
\hline
First-stage $ F $-statistic&       21.75   &       22.81   &       19.87   &       25.55   &       28.46   &       30.89   &       26.75   &       25.34   \\
Observations        &         462   &         462   &         462   &         462   &         462   &         462   &         462   &         462   \\
Clusters            &          32   &          32   &          32   &          32   &          32   &          32   &          32   &          32   \\
\hline
\hline
\end{c -(}tabular*{c )-}
\end{c -(}scriptsize{c )-}
\begin{c -(}tablenotes{c )-}[normal,flushleft]
\begin{c -(}scriptsize{c )-}
\item \emph{c -(}Notes{c )-}:
2SLS estimates of the effect of conscription into the Wehrmacht on population, age, education, and employment outcomes. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panel A: 2SLS estimates for log population; 
Panel A: 2SLS estimates for log male population; 
Panel A: 2SLS estimates for fraction of males; 
Panel A: 2SLS estimates for average age; 
Panel A: 2SLS estimates for average male age; 
Panel A: 2SLS estimates for average female age. 
Each column presents the estimation for a different election. 
The contemporary controls vector does not include any demographic characteristics. 
All specifications include a quadratic polynomial in latitude and longitude ($ x+y+x^2+y^2+xy $). 
First-stage F-statistic is the Kleibergen-Paap rk Wald F-statistic of the first-stage estimation. 
* significant at 10\%; ** at 5\%; *** at 1\%. 
\end{c -(}scriptsize{c )-}
\end{c -(}tablenotes{c )-}
\end{c -(}threeparttable{c )-}
\end{c -(}center{c )-}
\end{c -(}table{c )-}
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC9.tex"'})

{com}. 
. cap log close
{smcl}
{com}{sf}{ul off}