{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE A2 ****
. 
. 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. DEMOGRAPHICS REGRESSIONS
>         2. HUMAN CAPITAL REGRESSIONS
>         3. TABLE FOR PAPER
> */
. 
. ***************************************
. ***** 1. DEMOGRAPHICS 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 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}. 
. // Rdd
. 
. global rdd2                             "rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon"
{txt}
{com}. 
. // Regressions
. 
. foreach year in 1965{c -(}
{txt}  2{com}. foreach var in lpop_year lpop_male perc_male age 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 demo_`var', title(`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{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}
{com}. 
. ****************************************
. ***** 2. HUMAN CAPITAL REGRESSIONS *****
. ****************************************
. 
. // 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                      "lpop_counter perc_fore $pop"
{txt}
{com}. global socec_aspec                      ""
{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}. 
. // Rdd
. 
. global rdd2                             "rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon"
{txt}
{com}. 
. // Regressions
. 
. foreach year in 1965{c -(}
{txt}  2{com}. foreach var in eduyrs perc_bacplus perc_sup perc_bluecollar perc_chom lrev_median{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 hc_`var', title(`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
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{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}    6.96
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 20.60936326{txt}{col 55}Centered R2   = {res}  0.0522
{txt}Total (uncentered) SS   = {res} 20.60936326{txt}{col 55}Uncentered R2 = {res}  0.0522
{txt}Residual SS             = {res} 19.53331962{txt}{col 55}Root MSE      = {res}   .2149

{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}          eduyrs{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} .0127033{col 30}{space 2} .0123486{col 41}{space 1}    1.03{col 50}{space 3}0.312{col 58}{space 4}-.0124819{col 71}{space 3} .0378885
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0013496{col 30}{space 2} .0037504{col 41}{space 1}   -0.36{col 50}{space 3}0.721{col 58}{space 4}-.0089987{col 71}{space 3} .0062995
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0073632{col 30}{space 2} .0059204{col 41}{space 1}   -1.24{col 50}{space 3}0.223{col 58}{space 4} -.019438{col 71}{space 3} .0047116
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0219517{col 30}{space 2} .0046357{col 41}{space 1}   -4.74{col 50}{space 3}0.000{col 58}{space 4}-.0314063{col 71}{space 3}-.0124971
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-107.3939{col 30}{space 2} 102.0906{col 41}{space 1}   -1.05{col 50}{space 3}0.301{col 58}{space 4}-315.6089{col 71}{space 3} 100.8212
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-31.10991{col 30}{space 2} 31.30347{col 41}{space 1}   -0.99{col 50}{space 3}0.328{col 58}{space 4}-94.95375{col 71}{space 3} 32.73394
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.071307{col 30}{space 2} 1.020071{col 41}{space 1}    1.05{col 50}{space 3}0.302{col 58}{space 4}-1.009142{col 71}{space 3} 3.151755
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .8798263{col 30}{space 2} .2683787{col 41}{space 1}    3.28{col 50}{space 3}0.003{col 58}{space 4} .3324643{col 71}{space 3} 1.427188
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} .3686442{col 30}{space 2} .6750382{col 41}{space 1}    0.55{col 50}{space 3}0.589{col 58}{space 4}-1.008105{col 71}{space 3} 1.745394
{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}   7.818
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  17.156
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.856
{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}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter _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
Dropped collinear:{col 23}perc_b_1981_1996
{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}25.856457

{txt}added scalar:
             e(mean_y) =  {res}8.786733
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{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}    8.29
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 4468.689472{txt}{col 55}Centered R2   = {res}  0.0733
{txt}Total (uncentered) SS   = {res} 4468.689472{txt}{col 55}Uncentered R2 = {res}  0.0733
{txt}Residual SS             = {res}  4141.17843{txt}{col 55}Root MSE      = {res}   3.129

{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_bacplus{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}-.0180184{col 30}{space 2} .1484324{col 41}{space 1}   -0.12{col 50}{space 3}0.904{col 58}{space 4}-.3207483{col 71}{space 3} .2847115
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0252205{col 30}{space 2} .0553354{col 41}{space 1}   -0.46{col 50}{space 3}0.652{col 58}{space 4}-.1380778{col 71}{space 3} .0876367
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1429456{col 30}{space 2}  .072144{col 41}{space 1}   -1.98{col 50}{space 3}0.056{col 58}{space 4}-.2900842{col 71}{space 3}  .004193
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2752073{col 30}{space 2} .0656035{col 41}{space 1}   -4.20{col 50}{space 3}0.000{col 58}{space 4}-.4090066{col 71}{space 3} -.141408
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 630.3274{col 30}{space 2} 1209.836{col 41}{space 1}    0.52{col 50}{space 3}0.606{col 58}{space 4} -1837.15{col 71}{space 3} 3097.804
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 204.8744{col 30}{space 2} 439.4025{col 41}{space 1}    0.47{col 50}{space 3}0.644{col 58}{space 4} -691.293{col 71}{space 3} 1101.042
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-6.024517{col 30}{space 2} 12.14947{col 41}{space 1}   -0.50{col 50}{space 3}0.623{col 58}{space 4}-30.80353{col 71}{space 3} 18.75449
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}  5.95629{col 30}{space 2} 2.941534{col 41}{space 1}    2.02{col 50}{space 3}0.052{col 58}{space 4}-.0430088{col 71}{space 3} 11.95559
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-5.966051{col 30}{space 2} 8.997515{col 41}{space 1}   -0.66{col 50}{space 3}0.512{col 58}{space 4} -24.3166{col 71}{space 3}  12.3845
{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}   7.818
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  17.156
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.856
{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}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter _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
Dropped collinear:{col 23}perc_b_1981_1996
{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}25.856457

{txt}added scalar:
             e(mean_y) =  {res}4.0742401
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{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}    5.96
{txt}{col 55}Prob > F      = {res}  0.0001
{txt}Total (centered) SS     = {res} 631.8671353{txt}{col 55}Centered R2   = {res}  0.0588
{txt}Total (uncentered) SS   = {res} 631.8671353{txt}{col 55}Uncentered R2 = {res}  0.0588
{txt}Residual SS             = {res} 594.7432459{txt}{col 55}Root MSE      = {res}   1.186

{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_sup{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}-.0149201{col 30}{space 2} .0678079{col 41}{space 1}   -0.22{col 50}{space 3}0.827{col 58}{space 4}-.1532152{col 71}{space 3}  .123375
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0033561{col 30}{space 2} .0246574{col 41}{space 1}   -0.14{col 50}{space 3}0.893{col 58}{space 4}-.0536453{col 71}{space 3} .0469331
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0602326{col 30}{space 2} .0231343{col 41}{space 1}   -2.60{col 50}{space 3}0.014{col 58}{space 4}-.1074153{col 71}{space 3}  -.01305
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0725355{col 30}{space 2} .0210106{col 41}{space 1}   -3.45{col 50}{space 3}0.002{col 58}{space 4} -.115387{col 71}{space 3}-.0296841
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}  72.6018{col 30}{space 2} 473.6453{col 41}{space 1}    0.15{col 50}{space 3}0.879{col 58}{space 4}-893.4041{col 71}{space 3} 1038.608
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}  165.005{col 30}{space 2} 159.9587{col 41}{space 1}    1.03{col 50}{space 3}0.310{col 58}{space 4}-161.2329{col 71}{space 3} 491.2428
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-.4794349{col 30}{space 2} 4.834597{col 41}{space 1}   -0.10{col 50}{space 3}0.922{col 58}{space 4}-10.33966{col 71}{space 3} 9.380791
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.638334{col 30}{space 2} .8276011{col 41}{space 1}    1.98{col 50}{space 3}0.057{col 58}{space 4}-.0495697{col 71}{space 3} 3.326237
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.878003{col 30}{space 2} 3.352937{col 41}{space 1}   -1.16{col 50}{space 3}0.256{col 58}{space 4}-10.71636{col 71}{space 3} 2.960357
{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}   7.818
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  17.156
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.856
{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}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter _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
Dropped collinear:{col 23}perc_b_1981_1996
{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}25.856457

{txt}added scalar:
             e(mean_y) =  {res}.73511133
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{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}    3.95
{txt}{col 55}Prob > F      = {res}  0.0020
{txt}Total (centered) SS     = {res} 193884.0873{txt}{col 55}Centered R2   = {res}  0.0411
{txt}Total (uncentered) SS   = {res} 193884.0873{txt}{col 55}Uncentered R2 = {res}  0.0411
{txt}Residual SS             = {res} 185920.4868{txt}{col 55}Root MSE      = {res}   20.96

{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_bluecollar{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}-.0803037{col 30}{space 2} 1.588094{col 41}{space 1}   -0.05{col 50}{space 3}0.960{col 58}{space 4}-3.319243{col 71}{space 3} 3.158635
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0922005{col 30}{space 2} .3296711{col 41}{space 1}   -0.28{col 50}{space 3}0.782{col 58}{space 4}-.7645691{col 71}{space 3} .5801681
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1201463{col 30}{space 2} .6356809{col 41}{space 1}    0.19{col 50}{space 3}0.851{col 58}{space 4}-1.176333{col 71}{space 3} 1.416626
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .2310574{col 30}{space 2} .6405564{col 41}{space 1}    0.36{col 50}{space 3}0.721{col 58}{space 4}-1.075366{col 71}{space 3} 1.537481
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 18965.44{col 30}{space 2} 6181.972{col 41}{space 1}    3.07{col 50}{space 3}0.004{col 58}{space 4} 6357.226{col 71}{space 3} 31573.66
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 10596.63{col 30}{space 2} 3448.471{col 41}{space 1}    3.07{col 50}{space 3}0.004{col 58}{space 4} 3563.432{col 71}{space 3} 17629.84
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-179.9038{col 30}{space 2} 61.96718{col 41}{space 1}   -2.90{col 50}{space 3}0.007{col 58}{space 4}-306.2867{col 71}{space 3}-53.52087
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-51.63485{col 30}{space 2} 31.10597{col 41}{space 1}   -1.66{col 50}{space 3}0.107{col 58}{space 4}-115.0759{col 71}{space 3} 11.80619
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-201.1872{col 30}{space 2} 68.90228{col 41}{space 1}   -2.92{col 50}{space 3}0.006{col 58}{space 4}-341.7144{col 71}{space 3}-60.66013
{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}   7.818
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  17.156
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.856
{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}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter _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
Dropped collinear:{col 23}perc_b_1981_1996
{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}25.856457

{txt}added scalar:
             e(mean_y) =  {res}66.202753
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{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}  0.0859
{txt}Total (centered) SS     = {res} 1901.596953{txt}{col 55}Centered R2   = {res} -0.0291
{txt}Total (uncentered) SS   = {res} 1901.596953{txt}{col 55}Uncentered R2 = {res} -0.0291
{txt}Residual SS             = {res} 1956.871744{txt}{col 55}Root MSE      = {res}   2.151

{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_chom{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} .1251938{col 30}{space 2} .1080296{col 41}{space 1}    1.16{col 50}{space 3}0.255{col 58}{space 4} -.095134{col 71}{space 3} .3455216
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0351356{col 30}{space 2} .0403894{col 41}{space 1}    0.87{col 50}{space 3}0.391{col 58}{space 4}-.0472391{col 71}{space 3} .1175102
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0481407{col 30}{space 2} .0685099{col 41}{space 1}   -0.70{col 50}{space 3}0.487{col 58}{space 4}-.1878675{col 71}{space 3} .0915861
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0203262{col 30}{space 2} .0393359{col 41}{space 1}   -0.52{col 50}{space 3}0.609{col 58}{space 4}-.1005523{col 71}{space 3} .0598999
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 275.1983{col 30}{space 2} 819.8213{col 41}{space 1}    0.34{col 50}{space 3}0.739{col 58}{space 4}-1396.838{col 71}{space 3} 1947.235
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-641.6332{col 30}{space 2} 214.5284{col 41}{space 1}   -2.99{col 50}{space 3}0.005{col 58}{space 4}-1079.167{col 71}{space 3}-204.0996
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.769859{col 30}{space 2} 8.474275{col 41}{space 1}   -0.44{col 50}{space 3}0.660{col 58}{space 4}-21.05326{col 71}{space 3} 13.51354
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.416622{col 30}{space 2} 2.409918{col 41}{space 1}    0.59{col 50}{space 3}0.561{col 58}{space 4}-3.498437{col 71}{space 3} 6.331682
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 12.70403{col 30}{space 2} 4.135557{col 41}{space 1}    3.07{col 50}{space 3}0.004{col 58}{space 4} 4.269504{col 71}{space 3} 21.13855
{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}   7.818
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  17.156
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.856
{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}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter _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
Dropped collinear:{col 23}perc_b_1981_1996
{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}25.856457

{txt}added scalar:
             e(mean_y) =  {res}.75606936
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{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}   10.15
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 3.768262007{txt}{col 55}Centered R2   = {res}  0.0789
{txt}Total (uncentered) SS   = {res} 3.768262007{txt}{col 55}Uncentered R2 = {res}  0.0789
{txt}Residual SS             = {res} 3.470780897{txt}{col 55}Root MSE      = {res}  .09058

{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}     lrev_median{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} -.005987{col 30}{space 2} .0067578{col 41}{space 1}   -0.89{col 50}{space 3}0.382{col 58}{space 4}-.0197696{col 71}{space 3} .0077955
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0003909{col 30}{space 2} .0010957{col 41}{space 1}    0.36{col 50}{space 3}0.724{col 58}{space 4}-.0018437{col 71}{space 3} .0026255
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0000847{col 30}{space 2} .0018487{col 41}{space 1}    0.05{col 50}{space 3}0.964{col 58}{space 4}-.0036857{col 71}{space 3}  .003855
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0022817{col 30}{space 2} .0017695{col 41}{space 1}    1.29{col 50}{space 3}0.207{col 58}{space 4}-.0013273{col 71}{space 3} .0058907
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-80.78661{col 30}{space 2} 35.94844{col 41}{space 1}   -2.25{col 50}{space 3}0.032{col 58}{space 4}-154.1039{col 71}{space 3}-7.469281
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 51.99163{col 30}{space 2} 15.64965{col 41}{space 1}    3.32{col 50}{space 3}0.002{col 58}{space 4} 20.07396{col 71}{space 3}  83.9093
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  .905382{col 30}{space 2} .3619162{col 41}{space 1}    2.50{col 50}{space 3}0.018{col 58}{space 4} .1672491{col 71}{space 3} 1.643515
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.1429951{col 30}{space 2}  .114619{col 41}{space 1}   -1.25{col 50}{space 3}0.222{col 58}{space 4} -.376762{col 71}{space 3} .0907718
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} -1.01187{col 30}{space 2}  .316488{col 41}{space 1}   -3.20{col 50}{space 3}0.003{col 58}{space 4}-1.657352{col 71}{space 3}-.3663886
{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}   7.818
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  17.156
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.856
{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}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter _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
Dropped collinear:{col 23}perc_b_1981_1996
{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}25.856457

{txt}added scalar:
             e(mean_y) =  {res}10.147826
{txt}
{com}. 
. ******************************
. ***** 3. TABLE FOR PAPER *****
. ******************************
. 
. // Fixed effects
. 
. estfe . demo* hc*, 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 demo* ///
>         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 F_fs, lab("\\ Mean dep. variable" "First-stage $ F $-statistic") fmt(2 2)) ///
>         title(Abstention and the radical right-wing vote: Compositional effects) ///
>         prehead( ///
>         "\begin{c -(}table{c )-}[t!]" ///
>         "\begin{c -(}center{c )-}" ///
>         "\begin{c -(}threeparttable{c )-}" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\caption{c -(}@title\label{c -(}$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 )-}\\" ///   
>         "\cmidrule(lr){c -(}2-7{c )-}" ///
>         "&\multicolumn{c -(}6{c )-}{c -(}c{c )-}{c -(}Panel A: 2SLS Estimates. Demographic structure (1965){c )-}\\" ///
>         "\cmidrule(lr){c -(}2-7{c )-}" ///
>         "\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Dep. variable{c )-}{c )-}     &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Population{c )-} &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Age structure{c )-}\\" ///
>         "\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-7{c )-}" ///
>         "               &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Log{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Log Male{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Male (\%){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Average{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Male{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Female{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 -(}Abstention and the radical right-wing vote: Compositional effects\label{c -(}EEREV-D-21-00004_TableA2{c )-}{c )-}
\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}6{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 )-}\\
\cmidrule(lr){c -(}2-7{c )-}
&\multicolumn{c -(}6{c )-}{c -(}c{c )-}{c -(}Panel A: 2SLS Estimates. Demographic structure (1965){c )-}\\
\cmidrule(lr){c -(}2-7{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Dep. variable{c )-}{c )-}     &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Population{c )-} &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Age structure{c )-}\\
\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-7{c )-}
               &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Log{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Log Male{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Male (\%){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Average{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Male{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Female{c )-} \\
\hline
\\ Conscription proxy (\%)&     --0.038** &     --0.041*  &     --0.263   &       0.417   &       0.680** &       0.125   \\
                    &     (0.016)   &     (0.022)   &     (0.430)   &     (0.258)   &     (0.286)   &     (0.335)   \\

\\ Mean dep. variable&        6.13   &        5.40   &       49.37   &       34.51   &       33.36   &       35.77   \\
First-stage $ F $-statistic&       21.75   &       21.75   &       21.75   &       21.75   &       21.75   &       21.75   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableA2.tex"'})

{com}. 
. estout hc* ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y F_fs, lab("\\ Mean dep. variable" "First-stage $ F $-statistic") fmt(2 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 -(}2-7{c )-}" ///
>         "&\multicolumn{c -(}6{c )-}{c -(}c{c )-}{c -(}Panel B: 2SLS Estimates. Human capital (1965){c )-}\\" ///
>         "\cmidrule(lr){c -(}2-7{c )-}" ///
>         "\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Dep. variable{c )-}{c )-}     &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Education{c )-}  &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Employment \& income{c )-}\\" ///
>         "\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-7{c )-}" ///
>         "               &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Years{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}High school{c )-}     &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}University{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Blue collar{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Unemployment{c )-}      &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Log income{c )-} \\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("")
{res}
%\hline
\cmidrule(lr){c -(}2-7{c )-}
&\multicolumn{c -(}6{c )-}{c -(}c{c )-}{c -(}Panel B: 2SLS Estimates. Human capital (1965){c )-}\\
\cmidrule(lr){c -(}2-7{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Dep. variable{c )-}{c )-}     &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Education{c )-}  &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Employment \& income{c )-}\\
\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-7{c )-}
               &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Years{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}High school{c )-}     &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}University{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Blue collar{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Unemployment{c )-}      &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Log income{c )-} \\
\hline
\\ Conscription proxy (\%)&       0.013   &     --0.018   &     --0.015   &     --0.080   &       0.125   &     --0.006   \\
                    &     (0.012)   &     (0.148)   &     (0.068)   &     (1.588)   &     (0.108)   &     (0.007)   \\

\\ Mean dep. variable&        8.79   &        4.07   &        0.74   &       66.20   &        0.76   &       10.15   \\
First-stage $ F $-statistic&       25.86   &       25.86   &       25.86   &       25.86   &       25.86   &       25.86   \\

{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableA2.tex"'})

{com}. 
. estout hc* ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(N N_clust, lab("Observations" "Clusters") fmt(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 \\ ") ///
>         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 in 1965. " ///
>         "The unit of observation is a municipality. " ///
>         "Standard errors clustered at the canton level in parentheses. " ///
>         "Panel A: 2SLS estimates for population and age; the contemporary controls vector does not include any demographic characteristics. " ///
>         "Panel B: 2SLS estimates for education and employment; the contemporary controls vector does not include any socioeconomic characteristics. " ///
>         "Each column presents the estimation for a different outcome. " ///
>         "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 \\ 

Border segment FE   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Historical dialect FE &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Full set of controls &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
\hline
Observations        &         462   &         462   &         462   &         462   &         462   &         462   \\
Clusters            &          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 in 1965. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panel A: 2SLS estimates for population and age; the contemporary controls vector does not include any demographic characteristics. 
Panel B: 2SLS estimates for education and employment; the contemporary controls vector does not include any socioeconomic characteristics. 
Each column presents the estimation for a different outcome. 
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_TableA2.tex"'})

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