{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE C5 ****
. 
. clear all
{res}{txt}
{com}. set mem 2g
{txt}{bf:set memory} ignored.
{p 4 4 2}
Memory no longer
needs to be set in modern Statas;
memory adjustments are performed on the fly
automatically.
{p_end}

{com}. set more off
{txt}
{com}. 
. /*      
>         OUTLINE
>         1. REGRESSIONS
>         2. TABLE FOR PAPER
> */
. 
. **************************
. ***** 1. REGRESSIONS *****
. **************************
. 
. // Import data
. 
. use $data\EEREV-D-21-00004_Data_Municipalities.dta, clear
{txt}
{com}. 
. // Macros
. 
. global geogr_endow                      "water lelevation_mean lelevation_std ldist_de" 
{txt}
{com}. global pop                                      "perc_b_1928_1945 perc_b_1946_1964 perc_b_1965_1980 perc_b_1981_1996 perc_male_counter"
{txt}
{com}. global demog_chara                      "lpop_counter perc_fore $pop"
{txt}
{com}. global socec_aspec                      "perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd"
{txt}
{com}. 
. // Control vectors
. 
. global sigma                            "perc_prot_church pop_jew p_french_name lpop_1936 perc_fore_1936 perc_dial_1936 perc_disp_1946 $geogr_endow perc_droi_1936_ins"
{txt}
{com}. global w                                        "$demog_chara $socec_aspec"
{txt}
{com}. global dialect                          "dialect_lux dialect_mos dialect_rhe dialect_pal dialect_als dialect_hau dialect_lor dialect_fra"
{txt}
{com}. 
. // Controls vector
. 
. global rdd2                             "rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon"
{txt}
{com}. 
. // 1965-1969 FOR TABLE
. 
. foreach year in 1969{c -(}
{txt}  2{com}. 
.         reg perc_voixexd_ins perc_e_1908_1927 if annee==`year' & sample==1, cluster(ct_1936_enc)
{txt}  3{com}.         estimates store P`year'T1_VOTE, title(`year'R1)
{txt}  4{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         
. {c )-}

{txt}Linear regression                               Number of obs     = {res}       462
                                                {txt}{help j_robustsingular:F(0, 31) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}         .
                                                {txt}Root MSE          =    {res}      0

{txt}{ralign 82:(Std. err. adjusted for {res:32} clusters in ct_1936_enc)}
{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_voixexd_ins{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}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 11}_cons {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}added scalar:
             e(mean_y) =  {res}0
{txt}
{com}. 
. // Radical-Right: No controls
. 
. global w                ""
{txt}
{com}. global sigma    "perc_disp_1946"
{txt}
{com}. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_voixexd_ins ///
>                 (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  3{com}.                 
.         estimates store P`year'T1_VOTE
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{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}    2.11
{txt}{col 55}Prob > F      = {res}  0.0597
{txt}Total (centered) SS     = {res} 693.2316026{txt}{col 55}Centered R2   = {res}  0.0512
{txt}Total (uncentered) SS   = {res} 693.2316026{txt}{col 55}Uncentered R2 = {res}  0.0512
{txt}Residual SS             = {res}  657.743011{txt}{col 55}Root MSE      = {res}   1.223

{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_voixexd_ins{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} .0768254{col 30}{space 2} .0491519{col 41}{space 1}    1.56{col 50}{space 3}0.128{col 58}{space 4}-.0234205{col 71}{space 3} .1770714
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0139954{col 30}{space 2} .0215837{col 41}{space 1}    0.65{col 50}{space 3}0.521{col 58}{space 4}-.0300249{col 71}{space 3} .0580156
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0189685{col 30}{space 2}  .026896{col 41}{space 1}    0.71{col 50}{space 3}0.486{col 58}{space 4}-.0358863{col 71}{space 3} .0738233
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1136062{col 30}{space 2} .0309712{col 41}{space 1}   -3.67{col 50}{space 3}0.001{col 58}{space 4}-.1767724{col 71}{space 3}-.0504399
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-463.5279{col 30}{space 2} 263.4995{col 41}{space 1}   -1.76{col 50}{space 3}0.088{col 58}{space 4}-1000.939{col 71}{space 3} 73.88291
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}  38.6404{col 30}{space 2} 98.84198{col 41}{space 1}    0.39{col 50}{space 3}0.699{col 58}{space 4}-162.9492{col 71}{space 3}   240.23
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}    4.817{col 30}{space 2} 2.653445{col 41}{space 1}    1.82{col 50}{space 3}0.079{col 58}{space 4}-.5947358{col 71}{space 3} 10.22874
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .5210946{col 30}{space 2} 1.206095{col 41}{space 1}    0.43{col 50}{space 3}0.669{col 58}{space 4}-1.938753{col 71}{space 3} 2.980942
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-.9509711{col 30}{space 2} 1.943773{col 41}{space 1}   -0.49{col 50}{space 3}0.628{col 58}{space 4}-4.915321{col 71}{space 3} 3.013379
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}1.2057242
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.47
{txt}{col 55}Prob > F      = {res}  0.2025
{txt}Total (centered) SS     = {res} 77.91743795{txt}{col 55}Centered R2   = {res}  0.0132
{txt}Total (uncentered) SS   = {res} 77.91743795{txt}{col 55}Uncentered R2 = {res}  0.0132
{txt}Residual SS             = {res} 76.88920395{txt}{col 55}Root MSE      = {res}    .418

{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_voixexd_ins{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} .0054214{col 30}{space 2} .0113844{col 41}{space 1}    0.48{col 50}{space 3}0.637{col 58}{space 4}-.0177971{col 71}{space 3}   .02864
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0033428{col 30}{space 2} .0054854{col 41}{space 1}    0.61{col 50}{space 3}0.547{col 58}{space 4}-.0078447{col 71}{space 3} .0145303
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0087488{col 30}{space 2}  .008607{col 41}{space 1}   -1.02{col 50}{space 3}0.317{col 58}{space 4}-.0263029{col 71}{space 3} .0088053
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0086932{col 30}{space 2} .0089049{col 41}{space 1}   -0.98{col 50}{space 3}0.337{col 58}{space 4}-.0268547{col 71}{space 3} .0094684
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-61.47955{col 30}{space 2} 64.84795{col 41}{space 1}   -0.95{col 50}{space 3}0.350{col 58}{space 4}-193.7378{col 71}{space 3} 70.77873
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-38.21468{col 30}{space 2} 54.24487{col 41}{space 1}   -0.70{col 50}{space 3}0.486{col 58}{space 4}-148.8478{col 71}{space 3} 72.41847
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  .583635{col 30}{space 2} .6519133{col 41}{space 1}    0.90{col 50}{space 3}0.378{col 58}{space 4} -.745951{col 71}{space 3} 1.913221
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .8646143{col 30}{space 2}  .433669{col 41}{space 1}    1.99{col 50}{space 3}0.055{col 58}{space 4}-.0198594{col 71}{space 3} 1.749088
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}  .523631{col 30}{space 2} 1.033805{col 41}{space 1}    0.51{col 50}{space 3}0.616{col 58}{space 4}-1.584828{col 71}{space 3}  2.63209
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}.3129585
{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}    8.03
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 11402.59348{txt}{col 55}Centered R2   = {res} -0.0295
{txt}Total (uncentered) SS   = {res} 11402.59348{txt}{col 55}Uncentered R2 = {res} -0.0295
{txt}Residual SS             = {res} 11738.64668{txt}{col 55}Root MSE      = {res}   5.165

{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_voixexd_ins{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} .6686015{col 30}{space 2} .3194845{col 41}{space 1}    2.09{col 50}{space 3}0.045{col 58}{space 4} .0170085{col 71}{space 3} 1.320194
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0239256{col 30}{space 2}  .084122{col 41}{space 1}    0.28{col 50}{space 3}0.778{col 58}{space 4}-.1476423{col 71}{space 3} .1954936
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  -.08436{col 30}{space 2} .1974967{col 41}{space 1}   -0.43{col 50}{space 3}0.672{col 58}{space 4}-.4871572{col 71}{space 3} .3184372
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0420806{col 30}{space 2} .1362994{col 41}{space 1}    0.31{col 50}{space 3}0.760{col 58}{space 4}-.2359038{col 71}{space 3}  .320065
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1510.334{col 30}{space 2} 1254.593{col 41}{space 1}    1.20{col 50}{space 3}0.238{col 58}{space 4}-1048.426{col 71}{space 3} 4069.093
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-493.6023{col 30}{space 2}  758.971{col 41}{space 1}   -0.65{col 50}{space 3}0.520{col 58}{space 4}-2041.534{col 71}{space 3} 1054.329
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-16.18367{col 30}{space 2} 12.18271{col 41}{space 1}   -1.33{col 50}{space 3}0.194{col 58}{space 4}-41.03047{col 71}{space 3} 8.663125
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.010754{col 30}{space 2} 5.257428{col 41}{space 1}    0.38{col 50}{space 3}0.705{col 58}{space 4}-8.711841{col 71}{space 3} 12.73335
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}  9.25302{col 30}{space 2} 14.91827{col 41}{space 1}    0.62{col 50}{space 3}0.540{col 58}{space 4}-21.17299{col 71}{space 3} 39.67903
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}22.177668
{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}    7.19
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 9714.253752{txt}{col 55}Centered R2   = {res} -0.0334
{txt}Total (uncentered) SS   = {res} 9714.253752{txt}{col 55}Uncentered R2 = {res} -0.0334
{txt}Residual SS             = {res}  10038.8286{txt}{col 55}Root MSE      = {res}   4.777

{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_voixexd_ins{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} .4928847{col 30}{space 2} .2224896{col 41}{space 1}    2.22{col 50}{space 3}0.034{col 58}{space 4} .0391141{col 71}{space 3} .9466553
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0333977{col 30}{space 2} .0768451{col 41}{space 1}   -0.43{col 50}{space 3}0.667{col 58}{space 4}-.1901243{col 71}{space 3} .1233289
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  .050407{col 30}{space 2} .1413123{col 41}{space 1}    0.36{col 50}{space 3}0.724{col 58}{space 4}-.2378012{col 71}{space 3} .3386153
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0010094{col 30}{space 2} .1025314{col 41}{space 1}    0.01{col 50}{space 3}0.992{col 58}{space 4}-.2081048{col 71}{space 3} .2101236
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-167.2616{col 30}{space 2} 1314.847{col 41}{space 1}   -0.13{col 50}{space 3}0.900{col 58}{space 4}-2848.909{col 71}{space 3} 2514.386
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -459.593{col 30}{space 2} 798.0879{col 41}{space 1}   -0.58{col 50}{space 3}0.569{col 58}{space 4}-2087.304{col 71}{space 3} 1168.118
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.164946{col 30}{space 2} 12.65866{col 41}{space 1}    0.09{col 50}{space 3}0.927{col 58}{space 4}-24.65256{col 71}{space 3} 26.98246
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 9.032316{col 30}{space 2} 6.912082{col 41}{space 1}    1.31{col 50}{space 3}0.201{col 58}{space 4}-5.064967{col 71}{space 3}  23.1296
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 6.576987{col 30}{space 2} 15.31655{col 41}{space 1}    0.43{col 50}{space 3}0.671{col 58}{space 4}-24.66133{col 71}{space 3}  37.8153
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}22.249573
{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}    4.20
{txt}{col 55}Prob > F      = {res}  0.0013
{txt}Total (centered) SS     = {res} 6719.840086{txt}{col 55}Centered R2   = {res}  0.0549
{txt}Total (uncentered) SS   = {res} 6719.840086{txt}{col 55}Uncentered R2 = {res}  0.0549
{txt}Residual SS             = {res} 6350.770581{txt}{col 55}Root MSE      = {res}   3.799

{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_voixexd_ins{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} .0188427{col 30}{space 2} .1365179{col 41}{space 1}    0.14{col 50}{space 3}0.891{col 58}{space 4}-.2595874{col 71}{space 3} .2972727
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0418275{col 30}{space 2} .0690596{col 41}{space 1}    0.61{col 50}{space 3}0.549{col 58}{space 4}-.0990204{col 71}{space 3} .1826755
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0345792{col 30}{space 2} .1317623{col 41}{space 1}   -0.26{col 50}{space 3}0.795{col 58}{space 4}-.3033101{col 71}{space 3} .2341517
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0523655{col 30}{space 2}  .075328{col 41}{space 1}    0.70{col 50}{space 3}0.492{col 58}{space 4}-.1012669{col 71}{space 3} .2059978
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 27.94248{col 30}{space 2} 892.9192{col 41}{space 1}    0.03{col 50}{space 3}0.975{col 58}{space 4}-1793.178{col 71}{space 3} 1849.063
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1508.048{col 30}{space 2} 598.3192{col 41}{space 1}   -2.52{col 50}{space 3}0.017{col 58}{space 4}-2728.328{col 71}{space 3} -287.768
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-2.635178{col 30}{space 2} 8.526822{col 41}{space 1}   -0.31{col 50}{space 3}0.759{col 58}{space 4}-20.02575{col 71}{space 3} 14.75539
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} -3.28346{col 30}{space 2} 5.105797{col 41}{space 1}   -0.64{col 50}{space 3}0.525{col 58}{space 4} -13.6968{col 71}{space 3} 7.129882
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 31.70119{col 30}{space 2} 11.24662{col 41}{space 1}    2.82{col 50}{space 3}0.008{col 58}{space 4} 8.763552{col 71}{space 3} 54.63884
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}14.88564
{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}    3.28
{txt}{col 55}Prob > F      = {res}  0.0065
{txt}Total (centered) SS     = {res} 9718.218343{txt}{col 55}Centered R2   = {res}  0.0687
{txt}Total (uncentered) SS   = {res} 9718.218343{txt}{col 55}Uncentered R2 = {res}  0.0687
{txt}Residual SS             = {res}  9050.89191{txt}{col 55}Root MSE      = {res}   4.535

{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_voixexd_ins{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} .1878203{col 30}{space 2} .2023156{col 41}{space 1}    0.93{col 50}{space 3}0.360{col 58}{space 4}-.2248051{col 71}{space 3} .6004458
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0497764{col 30}{space 2} .0634247{col 41}{space 1}    0.78{col 50}{space 3}0.439{col 58}{space 4}-.0795791{col 71}{space 3} .1791319
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  -.04498{col 30}{space 2} .1700792{col 41}{space 1}   -0.26{col 50}{space 3}0.793{col 58}{space 4}-.3918589{col 71}{space 3} .3018989
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .1802488{col 30}{space 2} .0999138{col 41}{space 1}    1.80{col 50}{space 3}0.081{col 58}{space 4}-.0235267{col 71}{space 3} .3840244
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 232.9485{col 30}{space 2}  1072.39{col 41}{space 1}    0.22{col 50}{space 3}0.829{col 58}{space 4}-1954.206{col 71}{space 3} 2420.103
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1628.341{col 30}{space 2} 633.9227{col 41}{space 1}   -2.57{col 50}{space 3}0.015{col 58}{space 4}-2921.235{col 71}{space 3}-335.4473
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-4.857847{col 30}{space 2} 10.42772{col 41}{space 1}   -0.47{col 50}{space 3}0.645{col 58}{space 4}-26.12532{col 71}{space 3} 16.40963
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .7392761{col 30}{space 2} 5.110688{col 41}{space 1}    0.14{col 50}{space 3}0.886{col 58}{space 4}-9.684042{col 71}{space 3} 11.16259
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 32.97868{col 30}{space 2} 12.21989{col 41}{space 1}    2.70{col 50}{space 3}0.011{col 58}{space 4} 8.056051{col 71}{space 3} 57.90131
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}23.237011
{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}    6.41
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 12953.98522{txt}{col 55}Centered R2   = {res}  0.0704
{txt}Total (uncentered) SS   = {res} 12953.98522{txt}{col 55}Uncentered R2 = {res}  0.0704
{txt}Residual SS             = {res} 12042.12892{txt}{col 55}Root MSE      = {res}   5.231

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{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} .1432294{col 30}{space 2} .2900233{col 41}{space 1}    0.49{col 50}{space 3}0.625{col 58}{space 4}-.4482771{col 71}{space 3} .7347359
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .086605{col 30}{space 2} .0743695{col 41}{space 1}    1.16{col 50}{space 3}0.253{col 58}{space 4}-.0650725{col 71}{space 3} .2382826
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.038774{col 30}{space 2} .1185819{col 41}{space 1}   -0.33{col 50}{space 3}0.746{col 58}{space 4}-.2806234{col 71}{space 3} .2030753
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .2641421{col 30}{space 2} .1221696{col 41}{space 1}    2.16{col 50}{space 3}0.038{col 58}{space 4} .0149755{col 71}{space 3} .5133087
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 3862.937{col 30}{space 2} 1641.661{col 41}{space 1}    2.35{col 50}{space 3}0.025{col 58}{space 4} 514.7464{col 71}{space 3} 7211.127
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-871.0836{col 30}{space 2} 890.4638{col 41}{space 1}   -0.98{col 50}{space 3}0.336{col 58}{space 4}-2687.196{col 71}{space 3} 945.0292
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-40.81204{col 30}{space 2} 15.97505{col 41}{space 1}   -2.55{col 50}{space 3}0.016{col 58}{space 4}-73.39337{col 71}{space 3}  -8.2307
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 3.224537{col 30}{space 2} 6.368317{col 41}{space 1}    0.51{col 50}{space 3}0.616{col 58}{space 4}-9.763731{col 71}{space 3} 16.21281
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 16.75692{col 30}{space 2} 17.27561{col 41}{space 1}    0.97{col 50}{space 3}0.340{col 58}{space 4}-18.47691{col 71}{space 3} 51.99075
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}27.274936
{txt}
{com}. 
. // Radical-Right: Only DEMOGRAPHICS
. 
. global w                "$demog_chara"
{txt}
{com}. 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}. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_voixexd_ins ///
>                 (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  3{com}.                 
.         estimates store P`year'T1_VOTE2, title(`year'R1)
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{res}{txt}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}    1.48
{txt}{col 55}Prob > F      = {res}  0.1975
{txt}Total (centered) SS     = {res} 626.4349338{txt}{col 55}Centered R2   = {res} -0.0221
{txt}Total (uncentered) SS   = {res} 626.4349338{txt}{col 55}Uncentered R2 = {res} -0.0221
{txt}Residual SS             = {res} 640.2620802{txt}{col 55}Root MSE      = {res}    1.23

{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_voixexd_ins{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}-.0598317{col 30}{space 2} .0996304{col 41}{space 1}   -0.60{col 50}{space 3}0.553{col 58}{space 4}-.2630293{col 71}{space 3} .1433659
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0228832{col 30}{space 2} .0213291{col 41}{space 1}    1.07{col 50}{space 3}0.292{col 58}{space 4}-.0206178{col 71}{space 3} .0663841
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0392385{col 30}{space 2} .0242887{col 41}{space 1}    1.62{col 50}{space 3}0.116{col 58}{space 4}-.0102987{col 71}{space 3} .0887756
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0958169{col 30}{space 2}  .037264{col 41}{space 1}   -2.57{col 50}{space 3}0.015{col 58}{space 4}-.1718173{col 71}{space 3}-.0198164
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-582.1846{col 30}{space 2} 615.5739{col 41}{space 1}   -0.95{col 50}{space 3}0.352{col 58}{space 4}-1837.656{col 71}{space 3} 673.2866
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 249.7024{col 30}{space 2} 163.3421{col 41}{space 1}    1.53{col 50}{space 3}0.136{col 58}{space 4} -83.4359{col 71}{space 3} 582.8408
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 6.364413{col 30}{space 2} 6.287613{col 41}{space 1}    1.01{col 50}{space 3}0.319{col 58}{space 4}-6.459258{col 71}{space 3} 19.18808
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}  .702747{col 30}{space 2} 1.350367{col 41}{space 1}    0.52{col 50}{space 3}0.606{col 58}{space 4}-2.051345{col 71}{space 3} 3.456839
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} -5.30061{col 30}{space 2} 3.245129{col 41}{space 1}   -1.63{col 50}{space 3}0.113{col 58}{space 4}-11.91909{col 71}{space 3} 1.317875
{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
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}1.2057242
{txt}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}    1.13
{txt}{col 55}Prob > F      = {res}  0.3694
{txt}Total (centered) SS     = {res} 74.23265176{txt}{col 55}Centered R2   = {res}  0.0120
{txt}Total (uncentered) SS   = {res} 74.23265176{txt}{col 55}Uncentered R2 = {res}  0.0120
{txt}Residual SS             = {res}   73.342154{txt}{col 55}Root MSE      = {res}   .4164

{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_voixexd_ins{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} .0059209{col 30}{space 2} .0157675{col 41}{space 1}    0.38{col 50}{space 3}0.710{col 58}{space 4}-.0262372{col 71}{space 3} .0380789
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0066427{col 30}{space 2} .0055148{col 41}{space 1}    1.20{col 50}{space 3}0.238{col 58}{space 4}-.0046048{col 71}{space 3} .0178902
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0094346{col 30}{space 2} .0088982{col 41}{space 1}   -1.06{col 50}{space 3}0.297{col 58}{space 4}-.0275826{col 71}{space 3} .0087134
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0117063{col 30}{space 2} .0092485{col 41}{space 1}   -1.27{col 50}{space 3}0.215{col 58}{space 4}-.0305688{col 71}{space 3} .0071562
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -8.55798{col 30}{space 2} 97.62862{col 41}{space 1}   -0.09{col 50}{space 3}0.931{col 58}{space 4}-207.6729{col 71}{space 3} 190.5569
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-23.87226{col 30}{space 2} 75.01939{col 41}{space 1}   -0.32{col 50}{space 3}0.752{col 58}{space 4}-176.8753{col 71}{space 3} 129.1308
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .0592317{col 30}{space 2} .9718093{col 41}{space 1}    0.06{col 50}{space 3}0.952{col 58}{space 4}-1.922787{col 71}{space 3}  2.04125
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .6688443{col 30}{space 2} .5359117{col 41}{space 1}    1.25{col 50}{space 3}0.221{col 58}{space 4}-.4241548{col 71}{space 3} 1.761843
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} .2899307{col 30}{space 2} 1.491996{col 41}{space 1}    0.19{col 50}{space 3}0.847{col 58}{space 4}-2.753015{col 71}{space 3} 3.332876
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.568
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0034
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  19.764
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  31.797
{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
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}31.797328

{txt}added scalar:
             e(mean_y) =  {res}.3129585
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.41
{txt}{col 55}Prob > F      = {res}  0.0051
{txt}Total (centered) SS     = {res} 9673.020781{txt}{col 55}Centered R2   = {res} -0.1180
{txt}Total (uncentered) SS   = {res} 9673.020781{txt}{col 55}Uncentered R2 = {res} -0.1180
{txt}Residual SS             = {res} 10814.48599{txt}{col 55}Root MSE      = {res}   5.062

{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_voixexd_ins{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} .7782872{col 30}{space 2}  .401886{col 41}{space 1}    1.94{col 50}{space 3}0.062{col 58}{space 4}-.0413648{col 71}{space 3} 1.597939
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0685085{col 30}{space 2} .0820655{col 41}{space 1}    0.83{col 50}{space 3}0.410{col 58}{space 4}-.0988651{col 71}{space 3} .2358822
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0439639{col 30}{space 2} .1754506{col 41}{space 1}   -0.25{col 50}{space 3}0.804{col 58}{space 4}-.4017977{col 71}{space 3} .3138699
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0378408{col 30}{space 2} .1359971{col 41}{space 1}    0.28{col 50}{space 3}0.783{col 58}{space 4}-.2395272{col 71}{space 3} .3152088
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}  1423.49{col 30}{space 2} 2126.546{col 41}{space 1}    0.67{col 50}{space 3}0.508{col 58}{space 4}-2913.629{col 71}{space 3}  5760.61
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1672.296{col 30}{space 2} 767.9312{col 41}{space 1}   -2.18{col 50}{space 3}0.037{col 58}{space 4}-3238.502{col 71}{space 3}-106.0899
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-17.29485{col 30}{space 2} 21.89341{col 41}{space 1}   -0.79{col 50}{space 3}0.436{col 58}{space 4}-61.94676{col 71}{space 3} 27.35706
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.189969{col 30}{space 2} 6.337909{col 41}{space 1}   -0.82{col 50}{space 3}0.419{col 58}{space 4}-18.11622{col 71}{space 3} 7.736281
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 35.34882{col 30}{space 2}  15.8106{col 41}{space 1}    2.24{col 50}{space 3}0.033{col 58}{space 4} 3.102898{col 71}{space 3} 67.59474
{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}   7.925
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0049
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.520
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  24.951
{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_b_1981_1996 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
{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}24.95109

{txt}added scalar:
             e(mean_y) =  {res}22.177668
{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}    2.38
{txt}{col 55}Prob > F      = {res}  0.0355
{txt}Total (centered) SS     = {res} 8595.472316{txt}{col 55}Centered R2   = {res} -0.1578
{txt}Total (uncentered) SS   = {res} 8595.472316{txt}{col 55}Uncentered R2 = {res} -0.1578
{txt}Residual SS             = {res} 9951.428189{txt}{col 55}Root MSE      = {res}   4.856

{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_voixexd_ins{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} .6963523{col 30}{space 2} .3255228{col 41}{space 1}    2.14{col 50}{space 3}0.040{col 58}{space 4} .0324443{col 71}{space 3}  1.36026
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0356978{col 30}{space 2}  .082401{col 41}{space 1}    0.43{col 50}{space 3}0.668{col 58}{space 4}-.1323602{col 71}{space 3} .2037558
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0646429{col 30}{space 2} .1392745{col 41}{space 1}    0.46{col 50}{space 3}0.646{col 58}{space 4}-.2194093{col 71}{space 3} .3486951
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.059466{col 30}{space 2} .1148315{col 41}{space 1}   -0.52{col 50}{space 3}0.608{col 58}{space 4}-.2936664{col 71}{space 3} .1747345
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1911.701{col 30}{space 2} 1818.217{col 41}{space 1}   -1.05{col 50}{space 3}0.301{col 58}{space 4}-5619.978{col 71}{space 3} 1796.577
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1523.521{col 30}{space 2} 865.2084{col 41}{space 1}   -1.76{col 50}{space 3}0.088{col 58}{space 4}-3288.125{col 71}{space 3} 241.0831
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 17.33868{col 30}{space 2} 18.34986{col 41}{space 1}    0.94{col 50}{space 3}0.352{col 58}{space 4} -20.0861{col 71}{space 3} 54.76347
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 4.562634{col 30}{space 2} 6.813439{col 41}{space 1}    0.67{col 50}{space 3}0.508{col 58}{space 4}-9.333466{col 71}{space 3} 18.45873
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 29.61151{col 30}{space 2} 17.24935{col 41}{space 1}    1.72{col 50}{space 3}0.096{col 58}{space 4}-5.568774{col 71}{space 3} 64.79179
{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}   7.548
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0060
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.936
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.431
{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_b_1981_1996 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
{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}20.43067

{txt}added scalar:
             e(mean_y) =  {res}22.249573
{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}    2.67
{txt}{col 55}Prob > F      = {res}  0.0201
{txt}Total (centered) SS     = {res} 6193.554848{txt}{col 55}Centered R2   = {res}  0.0787
{txt}Total (uncentered) SS   = {res} 6193.554848{txt}{col 55}Uncentered R2 = {res}  0.0787
{txt}Residual SS             = {res} 5706.003035{txt}{col 55}Root MSE      = {res}   3.677

{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_voixexd_ins{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} .1499261{col 30}{space 2} .2141098{col 41}{space 1}    0.70{col 50}{space 3}0.489{col 58}{space 4}-.2867538{col 71}{space 3}  .586606
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0495453{col 30}{space 2} .0705089{col 41}{space 1}    0.70{col 50}{space 3}0.487{col 58}{space 4}-.0942584{col 71}{space 3} .1933491
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0447961{col 30}{space 2} .1115734{col 41}{space 1}   -0.40{col 50}{space 3}0.691{col 58}{space 4}-.2723516{col 71}{space 3} .1827594
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0493309{col 30}{space 2} .0781402{col 41}{space 1}    0.63{col 50}{space 3}0.532{col 58}{space 4}-.1100371{col 71}{space 3}  .208699
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3123.541{col 30}{space 2} 1123.049{col 41}{space 1}   -2.78{col 50}{space 3}0.009{col 58}{space 4}-5414.015{col 71}{space 3}-833.0662
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1591.854{col 30}{space 2} 558.5751{col 41}{space 1}   -2.85{col 50}{space 3}0.008{col 58}{space 4}-2731.076{col 71}{space 3}-452.6327
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 29.67315{col 30}{space 2} 11.30506{col 41}{space 1}    2.62{col 50}{space 3}0.013{col 58}{space 4} 6.616317{col 71}{space 3} 52.72998
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.1362256{col 30}{space 2} 4.786705{col 41}{space 1}   -0.03{col 50}{space 3}0.977{col 58}{space 4}-9.898774{col 71}{space 3} 9.626323
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 32.47992{col 30}{space 2} 11.05875{col 41}{space 1}    2.94{col 50}{space 3}0.006{col 58}{space 4} 9.925443{col 71}{space 3} 55.03439
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.354
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0038
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.792
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  26.175
{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_b_1981_1996 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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}26.175012

{txt}added scalar:
             e(mean_y) =  {res}14.88564
{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}    3.82
{txt}{col 55}Prob > F      = {res}  0.0025
{txt}Total (centered) SS     = {res} 8756.060296{txt}{col 55}Centered R2   = {res}  0.0637
{txt}Total (uncentered) SS   = {res} 8756.060296{txt}{col 55}Uncentered R2 = {res}  0.0637
{txt}Residual SS             = {res}  8198.00101{txt}{col 55}Root MSE      = {res}   4.408

{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_voixexd_ins{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} .3133754{col 30}{space 2} .3073777{col 41}{space 1}    1.02{col 50}{space 3}0.316{col 58}{space 4}-.3135255{col 71}{space 3} .9402763
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0795932{col 30}{space 2} .0718609{col 41}{space 1}    1.11{col 50}{space 3}0.277{col 58}{space 4}-.0669681{col 71}{space 3} .2261545
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0643563{col 30}{space 2} .1471654{col 41}{space 1}   -0.44{col 50}{space 3}0.665{col 58}{space 4}-.3645021{col 71}{space 3} .2357894
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .1517502{col 30}{space 2}  .093943{col 41}{space 1}    1.62{col 50}{space 3}0.116{col 58}{space 4}-.0398479{col 71}{space 3} .3433482
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3751.575{col 30}{space 2} 1502.008{col 41}{space 1}   -2.50{col 50}{space 3}0.018{col 58}{space 4} -6814.94{col 71}{space 3}-688.2096
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2187.067{col 30}{space 2} 721.3538{col 41}{space 1}   -3.03{col 50}{space 3}0.005{col 58}{space 4}-3658.278{col 71}{space 3}-715.8563
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 35.21349{col 30}{space 2} 15.56797{col 41}{space 1}    2.26{col 50}{space 3}0.031{col 58}{space 4} 3.462411{col 71}{space 3} 66.96458
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.4921545{col 30}{space 2} 5.362461{col 41}{space 1}   -0.09{col 50}{space 3}0.927{col 58}{space 4}-11.42897{col 71}{space 3} 10.44466
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 44.80237{col 30}{space 2} 14.94392{col 41}{space 1}    3.00{col 50}{space 3}0.005{col 58}{space 4} 14.32404{col 71}{space 3} 75.28069
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.109
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0044
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.072
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.432
{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_b_1981_1996 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
{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}21.431805

{txt}added scalar:
             e(mean_y) =  {res}23.237011
{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}    5.33
{txt}{col 55}Prob > F      = {res}  0.0002
{txt}Total (centered) SS     = {res} 10643.35581{txt}{col 55}Centered R2   = {res}  0.0505
{txt}Total (uncentered) SS   = {res} 10643.35581{txt}{col 55}Uncentered R2 = {res}  0.0505
{txt}Residual SS             = {res} 10105.48447{txt}{col 55}Root MSE      = {res}   4.894

{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_voixexd_ins{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} .2442192{col 30}{space 2} .3844256{col 41}{space 1}    0.64{col 50}{space 3}0.530{col 58}{space 4} -.539822{col 71}{space 3}  1.02826
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1328974{col 30}{space 2} .0775682{col 41}{space 1}    1.71{col 50}{space 3}0.097{col 58}{space 4} -.025304{col 71}{space 3} .2910988
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0170207{col 30}{space 2} .0974681{col 41}{space 1}    0.17{col 50}{space 3}0.863{col 58}{space 4}-.1817668{col 71}{space 3} .2158082
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .2163717{col 30}{space 2} .1268042{col 41}{space 1}    1.71{col 50}{space 3}0.098{col 58}{space 4}-.0422473{col 71}{space 3} .4749907
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-746.2336{col 30}{space 2} 2474.452{col 41}{space 1}   -0.30{col 50}{space 3}0.765{col 58}{space 4}-5792.912{col 71}{space 3} 4300.445
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1568.011{col 30}{space 2} 1083.176{col 41}{space 1}   -1.45{col 50}{space 3}0.158{col 58}{space 4}-3777.163{col 71}{space 3} 641.1412
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 5.432362{col 30}{space 2} 24.91467{col 41}{space 1}    0.22{col 50}{space 3}0.829{col 58}{space 4}-45.38145{col 71}{space 3} 56.24617
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.1206698{col 30}{space 2} 5.136205{col 41}{space 1}   -0.02{col 50}{space 3}0.981{col 58}{space 4}-10.59603{col 71}{space 3} 10.35469
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 31.99821{col 30}{space 2} 22.02631{col 41}{space 1}    1.45{col 50}{space 3}0.156{col 58}{space 4}-12.92475{col 71}{space 3} 76.92117
{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}   7.865
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0050
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.273
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.668
{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_b_1981_1996 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
{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}20.667687

{txt}added scalar:
             e(mean_y) =  {res}27.274936
{txt}
{com}. 
. // Radical-Right: Only SOCIO-ECONOMIC
. 
. global w                "$socec_aspec"
{txt}
{com}. 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}. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_voixexd_ins ///
>                 (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  3{com}.                 
.         estimates store P`year'T1_VOTE3, title(`year'R1)
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{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}    1.17
{txt}{col 55}Prob > F      = {res}  0.3501
{txt}Total (centered) SS     = {res} 633.8297855{txt}{col 55}Centered R2   = {res} -0.0185
{txt}Total (uncentered) SS   = {res} 633.8297855{txt}{col 55}Uncentered R2 = {res} -0.0185
{txt}Residual SS             = {res} 645.5499371{txt}{col 55}Root MSE      = {res}   1.234

{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_voixexd_ins{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}-.0559454{col 30}{space 2} .1174242{col 41}{space 1}   -0.48{col 50}{space 3}0.637{col 58}{space 4}-.2954337{col 71}{space 3} .1835428
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0267555{col 30}{space 2}  .024895{col 41}{space 1}    1.07{col 50}{space 3}0.291{col 58}{space 4}-.0240182{col 71}{space 3} .0775292
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0357006{col 30}{space 2} .0234086{col 41}{space 1}    1.53{col 50}{space 3}0.137{col 58}{space 4}-.0120416{col 71}{space 3} .0834427
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0944223{col 30}{space 2} .0359028{col 41}{space 1}   -2.63{col 50}{space 3}0.013{col 58}{space 4}-.1676466{col 71}{space 3}-.0211981
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-630.3079{col 30}{space 2} 625.8963{col 41}{space 1}   -1.01{col 50}{space 3}0.322{col 58}{space 4}-1906.832{col 71}{space 3}  646.216
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 181.2225{col 30}{space 2} 146.5478{col 41}{space 1}    1.24{col 50}{space 3}0.226{col 58}{space 4}-117.6637{col 71}{space 3} 480.1087
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 6.761492{col 30}{space 2} 6.406018{col 41}{space 1}    1.06{col 50}{space 3}0.299{col 58}{space 4}-6.303667{col 71}{space 3} 19.82665
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .8729652{col 30}{space 2} 1.244828{col 41}{space 1}    0.70{col 50}{space 3}0.488{col 58}{space 4}-1.665878{col 71}{space 3} 3.411808
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.942496{col 30}{space 2} 2.935028{col 41}{space 1}   -1.34{col 50}{space 3}0.189{col 58}{space 4}-9.928525{col 71}{space 3} 2.043534
{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
{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}1.2057242
{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}    1.07
{txt}{col 55}Prob > F      = {res}  0.4128
{txt}Total (centered) SS     = {res} 75.32399621{txt}{col 55}Centered R2   = {res}  0.0057
{txt}Total (uncentered) SS   = {res} 75.32399621{txt}{col 55}Uncentered R2 = {res}  0.0057
{txt}Residual SS             = {res} 74.89218293{txt}{col 55}Root MSE      = {res}   .4203

{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_voixexd_ins{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} .0088696{col 30}{space 2}  .019751{col 41}{space 1}    0.45{col 50}{space 3}0.657{col 58}{space 4}-.0314128{col 71}{space 3}  .049152
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0038229{col 30}{space 2} .0053432{col 41}{space 1}    0.72{col 50}{space 3}0.480{col 58}{space 4}-.0070747{col 71}{space 3} .0147204
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0074806{col 30}{space 2} .0101856{col 41}{space 1}   -0.73{col 50}{space 3}0.468{col 58}{space 4}-.0282543{col 71}{space 3}  .013293
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.010205{col 30}{space 2} .0087354{col 41}{space 1}   -1.17{col 50}{space 3}0.252{col 58}{space 4} -.028021{col 71}{space 3} .0076111
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-11.22184{col 30}{space 2} 103.0673{col 41}{space 1}   -0.11{col 50}{space 3}0.914{col 58}{space 4}-221.4291{col 71}{space 3} 198.9854
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-12.14835{col 30}{space 2} 71.44261{col 41}{space 1}   -0.17{col 50}{space 3}0.866{col 58}{space 4}-157.8565{col 71}{space 3} 133.5598
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .1055216{col 30}{space 2} 1.033155{col 41}{space 1}    0.10{col 50}{space 3}0.919{col 58}{space 4}-2.001611{col 71}{space 3} 2.212654
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .7421672{col 30}{space 2} .5704859{col 41}{space 1}    1.30{col 50}{space 3}0.203{col 58}{space 4}-.4213464{col 71}{space 3} 1.905681
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} .0263739{col 30}{space 2} 1.418776{col 41}{space 1}    0.02{col 50}{space 3}0.985{col 58}{space 4}-2.867239{col 71}{space 3} 2.919987
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   6.925
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0085
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.386
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  19.871
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}19.871198

{txt}added scalar:
             e(mean_y) =  {res}.3129585
{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}    1.88
{txt}{col 55}Prob > F      = {res}  0.0926
{txt}Total (centered) SS     = {res} 9463.535193{txt}{col 55}Centered R2   = {res} -0.2889
{txt}Total (uncentered) SS   = {res} 9463.535193{txt}{col 55}Uncentered R2 = {res} -0.2889
{txt}Residual SS             = {res} 12197.56732{txt}{col 55}Root MSE      = {res}   5.364

{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_voixexd_ins{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} .8743735{col 30}{space 2} .4230556{col 41}{space 1}    2.07{col 50}{space 3}0.047{col 58}{space 4} .0115458{col 71}{space 3} 1.737201
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0485403{col 30}{space 2} .0955209{col 41}{space 1}    0.51{col 50}{space 3}0.615{col 58}{space 4}-.1462759{col 71}{space 3} .2433564
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1129178{col 30}{space 2}  .217212{col 41}{space 1}   -0.52{col 50}{space 3}0.607{col 58}{space 4}-.5559246{col 71}{space 3}  .330089
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}  .018175{col 30}{space 2} .1618754{col 41}{space 1}    0.11{col 50}{space 3}0.911{col 58}{space 4}-.3119721{col 71}{space 3} .3483221
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 2502.446{col 30}{space 2} 1983.623{col 41}{space 1}    1.26{col 50}{space 3}0.217{col 58}{space 4}-1543.179{col 71}{space 3} 6548.071
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1184.771{col 30}{space 2}  892.879{col 41}{space 1}   -1.33{col 50}{space 3}0.194{col 58}{space 4} -3005.81{col 71}{space 3} 636.2677
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-27.52497{col 30}{space 2} 20.15354{col 41}{space 1}   -1.37{col 50}{space 3}0.182{col 58}{space 4}-68.62839{col 71}{space 3} 13.57846
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.4636106{col 30}{space 2} 6.426831{col 41}{space 1}   -0.07{col 50}{space 3}0.943{col 58}{space 4}-13.57122{col 71}{space 3}   12.644
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 23.95404{col 30}{space 2} 17.65202{col 41}{space 1}    1.36{col 50}{space 3}0.185{col 58}{space 4}-12.04749{col 71}{space 3} 59.95558
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.711
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0055
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.520
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.545
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.545321

{txt}added scalar:
             e(mean_y) =  {res}22.177668
{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}    2.22
{txt}{col 55}Prob > F      = {res}  0.0476
{txt}Total (centered) SS     = {res} 8264.656374{txt}{col 55}Centered R2   = {res} -0.1336
{txt}Total (uncentered) SS   = {res} 8264.656374{txt}{col 55}Uncentered R2 = {res} -0.1336
{txt}Residual SS             = {res} 9368.719945{txt}{col 55}Root MSE      = {res}   4.701

{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_voixexd_ins{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} .5351402{col 30}{space 2} .3353859{col 41}{space 1}    1.60{col 50}{space 3}0.121{col 58}{space 4}-.1488839{col 71}{space 3} 1.219164
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0082371{col 30}{space 2} .0789273{col 41}{space 1}    0.10{col 50}{space 3}0.918{col 58}{space 4}-.1527362{col 71}{space 3} .1692105
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0556715{col 30}{space 2} .1507184{col 41}{space 1}    0.37{col 50}{space 3}0.714{col 58}{space 4}-.2517208{col 71}{space 3} .3630637
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0477909{col 30}{space 2} .1013127{col 41}{space 1}   -0.47{col 50}{space 3}0.640{col 58}{space 4}-.2544194{col 71}{space 3} .1588377
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-640.1982{col 30}{space 2} 1740.074{col 41}{space 1}   -0.37{col 50}{space 3}0.715{col 58}{space 4}-4189.103{col 71}{space 3} 2908.707
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1253.548{col 30}{space 2} 910.0536{col 41}{space 1}   -1.38{col 50}{space 3}0.178{col 58}{space 4}-3109.614{col 71}{space 3} 602.5186
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 4.777145{col 30}{space 2} 17.44043{col 41}{space 1}    0.27{col 50}{space 3}0.786{col 58}{space 4}-30.79284{col 71}{space 3} 40.34713
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 9.242906{col 30}{space 2} 7.291777{col 41}{space 1}    1.27{col 50}{space 3}0.214{col 58}{space 4} -5.62877{col 71}{space 3} 24.11458
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 22.66905{col 30}{space 2} 18.18259{col 41}{space 1}    1.25{col 50}{space 3}0.222{col 58}{space 4}-14.41458{col 71}{space 3} 59.75267
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.232
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0041
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.085
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.458
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.457744

{txt}added scalar:
             e(mean_y) =  {res}22.249573
{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}    1.95
{txt}{col 55}Prob > F      = {res}  0.0816
{txt}Total (centered) SS     = {res} 5762.935876{txt}{col 55}Centered R2   = {res}  0.0307
{txt}Total (uncentered) SS   = {res} 5762.935876{txt}{col 55}Uncentered R2 = {res}  0.0307
{txt}Residual SS             = {res} 5585.918647{txt}{col 55}Root MSE      = {res}    3.63

{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_voixexd_ins{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}-.0015978{col 30}{space 2} .2151693{col 41}{space 1}   -0.01{col 50}{space 3}0.994{col 58}{space 4}-.4404385{col 71}{space 3} .4372429
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0574605{col 30}{space 2} .0675507{col 41}{space 1}    0.85{col 50}{space 3}0.401{col 58}{space 4}-.0803101{col 71}{space 3} .1952311
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0003089{col 30}{space 2} .1085339{col 41}{space 1}   -0.00{col 50}{space 3}0.998{col 58}{space 4}-.2216651{col 71}{space 3} .2210474
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0303658{col 30}{space 2} .0735104{col 41}{space 1}   -0.41{col 50}{space 3}0.682{col 58}{space 4}-.1802913{col 71}{space 3} .1195597
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2129.823{col 30}{space 2} 965.5807{col 41}{space 1}   -2.21{col 50}{space 3}0.035{col 58}{space 4}-4099.138{col 71}{space 3}-160.5087
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1371.227{col 30}{space 2} 571.3378{col 41}{space 1}   -2.40{col 50}{space 3}0.023{col 58}{space 4}-2536.478{col 71}{space 3}-205.9762
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 19.75928{col 30}{space 2} 9.604562{col 41}{space 1}    2.06{col 50}{space 3}0.048{col 58}{space 4} .1706483{col 71}{space 3} 39.34792
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.244233{col 30}{space 2} 4.624047{col 41}{space 1}   -0.27{col 50}{space 3}0.790{col 58}{space 4}-10.67504{col 71}{space 3} 8.186574
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 28.31623{col 30}{space 2} 11.18725{col 41}{space 1}    2.53{col 50}{space 3}0.017{col 58}{space 4} 5.499691{col 71}{space 3} 51.13277
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.496
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.287
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  30.887
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}30.887148

{txt}added scalar:
             e(mean_y) =  {res}14.88564
{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}    1.01
{txt}{col 55}Prob > F      = {res}  0.4503
{txt}Total (centered) SS     = {res} 8119.585483{txt}{col 55}Centered R2   = {res}  0.0353
{txt}Total (uncentered) SS   = {res} 8119.585483{txt}{col 55}Uncentered R2 = {res}  0.0353
{txt}Residual SS             = {res} 7833.245259{txt}{col 55}Root MSE      = {res}   4.298

{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_voixexd_ins{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} .0913895{col 30}{space 2} .3167511{col 41}{space 1}    0.29{col 50}{space 3}0.775{col 58}{space 4}-.5546287{col 71}{space 3} .7374077
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0227054{col 30}{space 2} .0545402{col 41}{space 1}    0.42{col 50}{space 3}0.680{col 58}{space 4}-.0885301{col 71}{space 3}  .133941
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0209532{col 30}{space 2} .1573331{col 41}{space 1}   -0.13{col 50}{space 3}0.895{col 58}{space 4}-.3418361{col 71}{space 3} .2999296
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0939268{col 30}{space 2}   .10416{col 41}{space 1}    0.90{col 50}{space 3}0.374{col 58}{space 4} -.118509{col 71}{space 3} .3063625
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2195.919{col 30}{space 2} 1368.899{col 41}{space 1}   -1.60{col 50}{space 3}0.119{col 58}{space 4}-4987.807{col 71}{space 3} 595.9691
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1288.279{col 30}{space 2} 741.6649{col 41}{space 1}   -1.74{col 50}{space 3}0.092{col 58}{space 4}-2800.914{col 71}{space 3} 224.3564
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 20.63615{col 30}{space 2} 14.04379{col 41}{space 1}    1.47{col 50}{space 3}0.152{col 58}{space 4}-8.006338{col 71}{space 3} 49.27864
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.728988{col 30}{space 2} 5.477765{col 41}{space 1}    0.32{col 50}{space 3}0.754{col 58}{space 4}-9.442987{col 71}{space 3} 12.90096
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 25.76738{col 30}{space 2} 15.25656{col 41}{space 1}    1.69{col 50}{space 3}0.101{col 58}{space 4}-5.348579{col 71}{space 3} 56.88333
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.786
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0030
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.405
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  26.745
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}26.745348

{txt}added scalar:
             e(mean_y) =  {res}23.237011
{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}    1.94
{txt}{col 55}Prob > F      = {res}  0.0829
{txt}Total (centered) SS     = {res} 10734.85148{txt}{col 55}Centered R2   = {res}  0.0232
{txt}Total (uncentered) SS   = {res} 10734.85148{txt}{col 55}Uncentered R2 = {res}  0.0232
{txt}Residual SS             = {res} 10485.46662{txt}{col 55}Root MSE      = {res}   4.973

{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_voixexd_ins{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} .0846404{col 30}{space 2}  .452699{col 41}{space 1}    0.19{col 50}{space 3}0.853{col 58}{space 4}-.8386454{col 71}{space 3} 1.007926
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0826774{col 30}{space 2} .0734937{col 41}{space 1}    1.12{col 50}{space 3}0.269{col 58}{space 4} -.067214{col 71}{space 3} .2325688
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1218323{col 30}{space 2} .1215568{col 41}{space 1}   -1.00{col 50}{space 3}0.324{col 58}{space 4}-.3697491{col 71}{space 3} .1260845
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .1943232{col 30}{space 2} .1143084{col 41}{space 1}    1.70{col 50}{space 3}0.099{col 58}{space 4}-.0388104{col 71}{space 3} .4274567
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 224.3987{col 30}{space 2} 2587.443{col 41}{space 1}    0.09{col 50}{space 3}0.931{col 58}{space 4}-5052.726{col 71}{space 3} 5501.523
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-378.2179{col 30}{space 2} 1143.882{col 41}{space 1}   -0.33{col 50}{space 3}0.743{col 58}{space 4}-2711.181{col 71}{space 3} 1954.746
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-2.637905{col 30}{space 2} 26.53645{col 41}{space 1}   -0.10{col 50}{space 3}0.921{col 58}{space 4}-56.75934{col 71}{space 3} 51.48353
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 5.918342{col 30}{space 2} 4.930792{col 41}{space 1}    1.20{col 50}{space 3}0.239{col 58}{space 4}-4.138075{col 71}{space 3} 15.97476
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 5.968372{col 30}{space 2} 23.32617{col 41}{space 1}    0.26{col 50}{space 3}0.800{col 58}{space 4}-41.60566{col 71}{space 3}  53.5424
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.430
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0037
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.541
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.340
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.33997

{txt}added scalar:
             e(mean_y) =  {res}27.274936
{txt}
{com}. 
. // Abstention: No controls
. 
. global w                ""
{txt}
{com}. global sigma    "perc_disp_1946"
{txt}
{com}. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_bna_ins ///
>                 (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  3{com}.                 
.         estimates store P`year'T1_ABST, title(`year'R1)
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_bna_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{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}   16.44
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 20741.65059{txt}{col 55}Centered R2   = {res} -0.7919
{txt}Total (uncentered) SS   = {res} 20741.65059{txt}{col 55}Uncentered R2 = {res} -0.7919
{txt}Residual SS             = {res} 37167.35641{txt}{col 55}Root MSE      = {res}   9.191

{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_bna_ins{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} 2.179477{col 30}{space 2} .2755425{col 41}{space 1}    7.91{col 50}{space 3}0.000{col 58}{space 4} 1.617505{col 71}{space 3}  2.74145
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.3542844{col 30}{space 2} .1264125{col 41}{space 1}   -2.80{col 50}{space 3}0.009{col 58}{space 4}-.6121044{col 71}{space 3}-.0964644
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0411823{col 30}{space 2} .2990896{col 41}{space 1}   -0.14{col 50}{space 3}0.891{col 58}{space 4}-.6511795{col 71}{space 3} .5688149
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.5417571{col 30}{space 2} .2286143{col 41}{space 1}   -2.37{col 50}{space 3}0.024{col 58}{space 4}-1.008019{col 71}{space 3}-.0754951
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2705.796{col 30}{space 2}  1432.68{col 41}{space 1}   -1.89{col 50}{space 3}0.068{col 58}{space 4}-5627.767{col 71}{space 3} 216.1748
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1059.129{col 30}{space 2} 1232.467{col 41}{space 1}   -0.86{col 50}{space 3}0.397{col 58}{space 4}-3572.762{col 71}{space 3} 1454.504
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 26.12891{col 30}{space 2} 14.25693{col 41}{space 1}    1.83{col 50}{space 3}0.076{col 58}{space 4}-2.948295{col 71}{space 3} 55.20611
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-4.699153{col 30}{space 2}  10.9401{col 41}{space 1}   -0.43{col 50}{space 3}0.671{col 58}{space 4}-27.01162{col 71}{space 3} 17.61332
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 22.94606{col 30}{space 2} 23.93248{col 41}{space 1}    0.96{col 50}{space 3}0.345{col 58}{space 4}-25.86456{col 71}{space 3} 71.75667
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}15.28727
{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}    6.06
{txt}{col 55}Prob > F      = {res}  0.0001
{txt}Total (centered) SS     = {res} 30857.75951{txt}{col 55}Centered R2   = {res} -0.9457
{txt}Total (uncentered) SS   = {res} 30857.75951{txt}{col 55}Uncentered R2 = {res} -0.9457
{txt}Residual SS             = {res}   60041.165{txt}{col 55}Root MSE      = {res}   11.68

{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_bna_ins{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} 2.663284{col 30}{space 2} .5015601{col 41}{space 1}    5.31{col 50}{space 3}0.000{col 58}{space 4} 1.640345{col 71}{space 3} 3.686222
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.3330644{col 30}{space 2} .1681709{col 41}{space 1}   -1.98{col 50}{space 3}0.057{col 58}{space 4}-.6760512{col 71}{space 3} .0099225
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1453433{col 30}{space 2}  .380452{col 41}{space 1}   -0.38{col 50}{space 3}0.705{col 58}{space 4}-.9212802{col 71}{space 3} .6305936
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.4826189{col 30}{space 2} .3004398{col 41}{space 1}   -1.61{col 50}{space 3}0.118{col 58}{space 4} -1.09537{col 71}{space 3} .1301322
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-4100.129{col 30}{space 2} 1725.848{col 41}{space 1}   -2.38{col 50}{space 3}0.024{col 58}{space 4} -7620.02{col 71}{space 3}-580.2387
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2055.033{col 30}{space 2} 1519.427{col 41}{space 1}   -1.35{col 50}{space 3}0.186{col 58}{space 4}-5153.924{col 71}{space 3} 1043.858
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 38.91518{col 30}{space 2} 17.36616{col 41}{space 1}    2.24{col 50}{space 3}0.032{col 58}{space 4} 3.496667{col 71}{space 3}  74.3337
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-7.264526{col 30}{space 2} 11.90306{col 41}{space 1}   -0.61{col 50}{space 3}0.546{col 58}{space 4}-31.54097{col 71}{space 3} 17.01192
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 43.93852{col 30}{space 2} 29.04674{col 41}{space 1}    1.51{col 50}{space 3}0.140{col 58}{space 4}-15.30271{col 71}{space 3} 103.1797
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}23.6278
{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}   11.12
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 14718.14832{txt}{col 55}Centered R2   = {res} -0.7222
{txt}Total (uncentered) SS   = {res} 14718.14832{txt}{col 55}Uncentered R2 = {res} -0.7222
{txt}Residual SS             = {res} 25347.89095{txt}{col 55}Root MSE      = {res}    7.59

{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_bna_ins{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} 1.697315{col 30}{space 2} .2821501{col 41}{space 1}    6.02{col 50}{space 3}0.000{col 58}{space 4} 1.121866{col 71}{space 3} 2.272764
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} -.220583{col 30}{space 2}  .134874{col 41}{space 1}   -1.64{col 50}{space 3}0.112{col 58}{space 4}-.4956602{col 71}{space 3} .0544943
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1949115{col 30}{space 2} .2690202{col 41}{space 1}   -0.72{col 50}{space 3}0.474{col 58}{space 4}-.7435818{col 71}{space 3} .3537587
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1796189{col 30}{space 2} .2378072{col 41}{space 1}   -0.76{col 50}{space 3}0.456{col 58}{space 4}-.6646298{col 71}{space 3} .3053921
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2447.231{col 30}{space 2} 1402.876{col 41}{space 1}   -1.74{col 50}{space 3}0.091{col 58}{space 4}-5308.416{col 71}{space 3} 413.9533
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2472.868{col 30}{space 2}  894.201{col 41}{space 1}   -2.77{col 50}{space 3}0.009{col 58}{space 4}-4296.603{col 71}{space 3}-649.1332
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 21.29425{col 30}{space 2} 14.11338{col 41}{space 1}    1.51{col 50}{space 3}0.141{col 58}{space 4}-7.490184{col 71}{space 3} 50.07869
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.483413{col 30}{space 2} 5.902355{col 41}{space 1}   -0.93{col 50}{space 3}0.360{col 58}{space 4}-17.52134{col 71}{space 3} 6.554519
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 52.09596{col 30}{space 2} 17.53853{col 41}{space 1}    2.97{col 50}{space 3}0.006{col 58}{space 4} 16.32588{col 71}{space 3} 87.86604
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}17.065947
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    0.97
{txt}{col 55}Prob > F      = {res}  0.4799
{txt}Total (centered) SS     = {res} 8034.081055{txt}{col 55}Centered R2   = {res} -0.0487
{txt}Total (uncentered) SS   = {res} 8034.081055{txt}{col 55}Uncentered R2 = {res} -0.0487
{txt}Residual SS             = {res} 8425.679811{txt}{col 55}Root MSE      = {res}   4.376

{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_bna_ins{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} .3298859{col 30}{space 2} .2148622{col 41}{space 1}    1.54{col 50}{space 3}0.135{col 58}{space 4}-.1083286{col 71}{space 3} .7681003
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0020655{col 30}{space 2} .0921648{col 41}{space 1}   -0.02{col 50}{space 3}0.982{col 58}{space 4}-.1900368{col 71}{space 3} .1859057
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0812814{col 30}{space 2} .1376804{col 41}{space 1}   -0.59{col 50}{space 3}0.559{col 58}{space 4}-.3620824{col 71}{space 3} .1995195
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1342651{col 30}{space 2} .0944228{col 41}{space 1}   -1.42{col 50}{space 3}0.165{col 58}{space 4}-.3268417{col 71}{space 3} .0583115
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3412.377{col 30}{space 2} 1788.278{col 41}{space 1}   -1.91{col 50}{space 3}0.066{col 58}{space 4}-7059.594{col 71}{space 3} 234.8409
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -1118.03{col 30}{space 2} 811.0769{col 41}{space 1}   -1.38{col 50}{space 3}0.178{col 58}{space 4}-2772.232{col 71}{space 3} 536.1725
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 33.26285{col 30}{space 2} 17.46717{col 41}{space 1}    1.90{col 50}{space 3}0.066{col 58}{space 4}-2.361676{col 71}{space 3} 68.88737
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.9624916{col 30}{space 2} 4.511055{col 41}{space 1}   -0.21{col 50}{space 3}0.832{col 58}{space 4}-10.16285{col 71}{space 3} 8.237865
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 23.12489{col 30}{space 2} 16.31615{col 41}{space 1}    1.42{col 50}{space 3}0.166{col 58}{space 4}-10.15211{col 71}{space 3} 56.40189
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}19.787649
{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}    2.37
{txt}{col 55}Prob > F      = {res}  0.0362
{txt}Total (centered) SS     = {res} 11366.84676{txt}{col 55}Centered R2   = {res}  0.0103
{txt}Total (uncentered) SS   = {res} 11366.84676{txt}{col 55}Uncentered R2 = {res}  0.0103
{txt}Residual SS             = {res} 11249.22015{txt}{col 55}Root MSE      = {res}   5.056

{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_bna_ins{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}-.1951575{col 30}{space 2} .1957459{col 41}{space 1}   -1.00{col 50}{space 3}0.326{col 58}{space 4}-.5943838{col 71}{space 3} .2040689
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0185379{col 30}{space 2}  .096705{col 41}{space 1}   -0.19{col 50}{space 3}0.849{col 58}{space 4}-.2157689{col 71}{space 3} .1786932
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0950404{col 30}{space 2} .1147841{col 41}{space 1}   -0.83{col 50}{space 3}0.414{col 58}{space 4}-.3291441{col 71}{space 3} .1390633
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0371655{col 30}{space 2} .1277986{col 41}{space 1}    0.29{col 50}{space 3}0.773{col 58}{space 4}-.2234814{col 71}{space 3} .2978125
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}  99.7145{col 30}{space 2} 1218.765{col 41}{space 1}    0.08{col 50}{space 3}0.935{col 58}{space 4}-2385.973{col 71}{space 3} 2585.402
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1749.197{col 30}{space 2} 661.9189{col 41}{space 1}   -2.64{col 50}{space 3}0.013{col 58}{space 4}-3099.189{col 71}{space 3} -399.204
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.747422{col 30}{space 2} 12.02355{col 41}{space 1}   -0.31{col 50}{space 3}0.757{col 58}{space 4}-28.26961{col 71}{space 3} 20.77476
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-6.745832{col 30}{space 2} 5.001315{col 41}{space 1}   -1.35{col 50}{space 3}0.187{col 58}{space 4}-16.94608{col 71}{space 3} 3.454418
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 37.77354{col 30}{space 2} 13.07917{col 41}{space 1}    2.89{col 50}{space 3}0.007{col 58}{space 4} 11.09841{col 71}{space 3} 64.44867
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}28.387391
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.54
{txt}{col 55}Prob > F      = {res}  0.1775
{txt}Total (centered) SS     = {res} 5926.191657{txt}{col 55}Centered R2   = {res} -0.3430
{txt}Total (uncentered) SS   = {res} 5926.191657{txt}{col 55}Uncentered R2 = {res} -0.3430
{txt}Residual SS             = {res} 7959.081011{txt}{col 55}Root MSE      = {res}   4.253

{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_bna_ins{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} .5720527{col 30}{space 2} .1876676{col 41}{space 1}    3.05{col 50}{space 3}0.005{col 58}{space 4} .1893021{col 71}{space 3} .9548034
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0641499{col 30}{space 2}  .071243{col 41}{space 1}   -0.90{col 50}{space 3}0.375{col 58}{space 4}-.2094508{col 71}{space 3} .0811511
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1167095{col 30}{space 2} .1418739{col 41}{space 1}   -0.82{col 50}{space 3}0.417{col 58}{space 4}-.4060633{col 71}{space 3} .1726443
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0110955{col 30}{space 2} .1221033{col 41}{space 1}   -0.09{col 50}{space 3}0.928{col 58}{space 4}-.2601269{col 71}{space 3} .2379359
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1715.505{col 30}{space 2} 872.1868{col 41}{space 1}   -1.97{col 50}{space 3}0.058{col 58}{space 4}-3494.342{col 71}{space 3} 63.33128
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -1631.87{col 30}{space 2} 569.4705{col 41}{space 1}   -2.87{col 50}{space 3}0.007{col 58}{space 4}-2793.313{col 71}{space 3}-470.4276
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 15.30513{col 30}{space 2} 8.429147{col 41}{space 1}    1.82{col 50}{space 3}0.079{col 58}{space 4}-1.886224{col 71}{space 3} 32.49649
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 7.066162{col 30}{space 2} 4.128903{col 41}{space 1}    1.71{col 50}{space 3}0.097{col 58}{space 4}-1.354791{col 71}{space 3} 15.48712
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 31.26713{col 30}{space 2} 11.05065{col 41}{space 1}    2.83{col 50}{space 3}0.008{col 58}{space 4} 8.729179{col 71}{space 3} 53.80509
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}16.72891
{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}    1.39
{txt}{col 55}Prob > F      = {res}  0.2362
{txt}Total (centered) SS     = {res} 7125.618585{txt}{col 55}Centered R2   = {res} -0.1109
{txt}Total (uncentered) SS   = {res} 7125.618585{txt}{col 55}Uncentered R2 = {res} -0.1109
{txt}Residual SS             = {res} 7916.011771{txt}{col 55}Root MSE      = {res}   4.242

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{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} .4554234{col 30}{space 2} .2385068{col 41}{space 1}    1.91{col 50}{space 3}0.065{col 58}{space 4}-.0310144{col 71}{space 3} .9418613
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0815003{col 30}{space 2} .0867128{col 41}{space 1}   -0.94{col 50}{space 3}0.355{col 58}{space 4}-.2583523{col 71}{space 3} .0953516
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1977012{col 30}{space 2} .1400101{col 41}{space 1}   -1.41{col 50}{space 3}0.168{col 58}{space 4}-.4832537{col 71}{space 3} .0878512
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0351018{col 30}{space 2} .1441946{col 41}{space 1}    0.24{col 50}{space 3}0.809{col 58}{space 4} -.258985{col 71}{space 3} .3291886
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1960.945{col 30}{space 2} 1023.627{col 41}{space 1}   -1.92{col 50}{space 3}0.065{col 58}{space 4}-4048.645{col 71}{space 3} 126.7562
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1438.157{col 30}{space 2} 614.1585{col 41}{space 1}   -2.34{col 50}{space 3}0.026{col 58}{space 4}-2690.741{col 71}{space 3}-185.5724
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  18.0411{col 30}{space 2} 9.922197{col 41}{space 1}    1.82{col 50}{space 3}0.079{col 58}{space 4}-2.195355{col 71}{space 3} 38.27755
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.517163{col 30}{space 2} 4.420793{col 41}{space 1}    0.57{col 50}{space 3}0.573{col 58}{space 4}-6.499104{col 71}{space 3} 11.53343
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 28.60553{col 30}{space 2}   12.071{col 41}{space 1}    2.37{col 50}{space 3}0.024{col 58}{space 4} 3.986558{col 71}{space 3} 53.22451
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}19.41339
{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}    3.84
{txt}{col 55}Prob > F      = {res}  0.0023
{txt}Total (centered) SS     = {res} 8357.893847{txt}{col 55}Centered R2   = {res} -0.1927
{txt}Total (uncentered) SS   = {res} 8357.893847{txt}{col 55}Uncentered R2 = {res} -0.1927
{txt}Residual SS             = {res}  9968.70874{txt}{col 55}Root MSE      = {res}    4.76

{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_bna_ins{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} .5291717{col 30}{space 2} .1922792{col 41}{space 1}    2.75{col 50}{space 3}0.010{col 58}{space 4} .1370158{col 71}{space 3} .9213277
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1661648{col 30}{space 2} .0704376{col 41}{space 1}   -2.36{col 50}{space 3}0.025{col 58}{space 4}-.3098232{col 71}{space 3}-.0225063
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.042043{col 30}{space 2}  .123872{col 41}{space 1}   -0.34{col 50}{space 3}0.737{col 58}{space 4}-.2946817{col 71}{space 3} .2105957
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0799685{col 30}{space 2} .1476593{col 41}{space 1}   -0.54{col 50}{space 3}0.592{col 58}{space 4}-.3811216{col 71}{space 3} .2211846
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-4315.505{col 30}{space 2}   1070.4{col 41}{space 1}   -4.03{col 50}{space 3}0.000{col 58}{space 4}  -6498.6{col 71}{space 3} -2132.41
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1816.978{col 30}{space 2} 730.6935{col 41}{space 1}   -2.49{col 50}{space 3}0.018{col 58}{space 4}-3307.237{col 71}{space 3}-326.7189
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 41.65208{col 30}{space 2}  10.3174{col 41}{space 1}    4.04{col 50}{space 3}0.000{col 58}{space 4}  20.6096{col 71}{space 3} 62.69456
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 5.140564{col 30}{space 2} 5.473431{col 41}{space 1}    0.94{col 50}{space 3}0.355{col 58}{space 4}-6.022571{col 71}{space 3}  16.3037
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 35.48275{col 30}{space 2} 14.18239{col 41}{space 1}    2.50{col 50}{space 3}0.018{col 58}{space 4} 6.557575{col 71}{space 3} 64.40793
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.149
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0043
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  36.231
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  54.873
{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_disp_1946 _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
{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}54.872596

{txt}added scalar:
             e(mean_y) =  {res}20.639399
{txt}
{com}. 
. // Abstention: Only DEMOGRAPHICS
. 
. global w "$demog_chara"
{txt}
{com}. 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}. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_bna_ins ///
>                 (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  3{com}.                 
.         estimates store P`year'T1_ABST2, title(`year'R1)
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_bna_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{res}{txt}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}    7.41
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 12080.42215{txt}{col 55}Centered R2   = {res} -0.2505
{txt}Total (uncentered) SS   = {res} 12080.42215{txt}{col 55}Uncentered R2 = {res} -0.2505
{txt}Residual SS             = {res} 15106.56065{txt}{col 55}Root MSE      = {res}   5.976

{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_bna_ins{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} 1.068071{col 30}{space 2} .3910078{col 41}{space 1}    2.73{col 50}{space 3}0.010{col 58}{space 4}  .270605{col 71}{space 3} 1.865536
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1768234{col 30}{space 2}  .084078{col 41}{space 1}   -2.10{col 50}{space 3}0.044{col 58}{space 4}-.3483016{col 71}{space 3}-.0053453
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0804719{col 30}{space 2} .1912652{col 41}{space 1}    0.42{col 50}{space 3}0.677{col 58}{space 4} -.309616{col 71}{space 3} .4705599
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.4625157{col 30}{space 2} .1440938{col 41}{space 1}   -3.21{col 50}{space 3}0.003{col 58}{space 4} -.756397{col 71}{space 3}-.1686344
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 869.8977{col 30}{space 2} 2971.967{col 41}{space 1}    0.29{col 50}{space 3}0.772{col 58}{space 4}-5191.469{col 71}{space 3} 6931.264
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 435.1304{col 30}{space 2} 1207.049{col 41}{space 1}    0.36{col 50}{space 3}0.721{col 58}{space 4}-2026.663{col 71}{space 3} 2896.923
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-8.236791{col 30}{space 2} 29.65284{col 41}{space 1}   -0.28{col 50}{space 3}0.783{col 58}{space 4}-68.71416{col 71}{space 3} 52.24058
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.3847685{col 30}{space 2} 7.211596{col 41}{space 1}   -0.05{col 50}{space 3}0.958{col 58}{space 4}-15.09292{col 71}{space 3} 14.32338
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} -8.98271{col 30}{space 2} 24.11381{col 41}{space 1}   -0.37{col 50}{space 3}0.712{col 58}{space 4}-58.16315{col 71}{space 3} 40.19773
{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
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}15.28727
{txt}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}    2.46
{txt}{col 55}Prob > F      = {res}  0.0303
{txt}Total (centered) SS     = {res} 19403.04916{txt}{col 55}Centered R2   = {res} -0.4137
{txt}Total (uncentered) SS   = {res} 19403.04916{txt}{col 55}Uncentered R2 = {res} -0.4137
{txt}Residual SS             = {res}  27430.2238{txt}{col 55}Root MSE      = {res}   8.053

{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_bna_ins{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} 1.474895{col 30}{space 2} .5573682{col 41}{space 1}    2.65{col 50}{space 3}0.013{col 58}{space 4} .3381347{col 71}{space 3} 2.611654
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1108618{col 30}{space 2} .1214256{col 41}{space 1}   -0.91{col 50}{space 3}0.368{col 58}{space 4} -.358511{col 71}{space 3} .1367875
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0490953{col 30}{space 2} .2298222{col 41}{space 1}    0.21{col 50}{space 3}0.832{col 58}{space 4}-.4196301{col 71}{space 3} .5178207
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.407432{col 30}{space 2} .1884081{col 41}{space 1}   -2.16{col 50}{space 3}0.038{col 58}{space 4}-.7916929{col 71}{space 3}-.0231711
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1206.361{col 30}{space 2}  2920.58{col 41}{space 1}    0.41{col 50}{space 3}0.682{col 58}{space 4}-4750.201{col 71}{space 3} 7162.924
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-816.7607{col 30}{space 2} 1343.676{col 41}{space 1}   -0.61{col 50}{space 3}0.548{col 58}{space 4}-3557.206{col 71}{space 3} 1923.685
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-13.59504{col 30}{space 2} 29.85551{col 41}{space 1}   -0.46{col 50}{space 3}0.652{col 58}{space 4}-74.48575{col 71}{space 3} 47.29568
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-4.122586{col 30}{space 2} 9.228427{col 41}{space 1}   -0.45{col 50}{space 3}0.658{col 58}{space 4}-22.94409{col 71}{space 3} 14.69891
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 17.53631{col 30}{space 2}  26.3323{col 41}{space 1}    0.67{col 50}{space 3}0.510{col 58}{space 4}-36.16878{col 71}{space 3}  71.2414
{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}   7.700
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0055
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  18.353
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  26.027
{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
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}26.027045

{txt}added scalar:
             e(mean_y) =  {res}23.6278
{txt}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}    1.97
{txt}{col 55}Prob > F      = {res}  0.0775
{txt}Total (centered) SS     = {res} 9053.619459{txt}{col 55}Centered R2   = {res} -0.1044
{txt}Total (uncentered) SS   = {res} 9053.619459{txt}{col 55}Uncentered R2 = {res} -0.1044
{txt}Residual SS             = {res} 9999.220454{txt}{col 55}Root MSE      = {res}   4.862

{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_bna_ins{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} .7086266{col 30}{space 2} .3013034{col 41}{space 1}    2.35{col 50}{space 3}0.025{col 58}{space 4} .0941142{col 71}{space 3} 1.323139
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0339487{col 30}{space 2} .0867324{col 41}{space 1}   -0.39{col 50}{space 3}0.698{col 58}{space 4}-.2108407{col 71}{space 3} .1429433
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0877387{col 30}{space 2} .1404617{col 41}{space 1}   -0.62{col 50}{space 3}0.537{col 58}{space 4}-.3742122{col 71}{space 3} .1987349
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0738175{col 30}{space 2} .1322661{col 41}{space 1}   -0.56{col 50}{space 3}0.581{col 58}{space 4}-.3435761{col 71}{space 3} .1959411
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 178.8215{col 30}{space 2} 1348.549{col 41}{space 1}    0.13{col 50}{space 3}0.895{col 58}{space 4}-2571.562{col 71}{space 3} 2929.205
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1384.244{col 30}{space 2} 502.3424{col 41}{space 1}   -2.76{col 50}{space 3}0.010{col 58}{space 4}-2408.778{col 71}{space 3}-359.7099
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.985291{col 30}{space 2} 13.73111{col 41}{space 1}   -0.29{col 50}{space 3}0.774{col 58}{space 4}-31.99007{col 71}{space 3} 24.01949
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.452127{col 30}{space 2} 3.808135{col 41}{space 1}   -1.43{col 50}{space 3}0.162{col 58}{space 4}-13.21887{col 71}{space 3} 2.314615
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 29.80678{col 30}{space 2} 10.09801{col 41}{space 1}    2.95{col 50}{space 3}0.006{col 58}{space 4}  9.21174{col 71}{space 3} 50.40181
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.568
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0034
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  19.764
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  31.797
{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
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}31.797328

{txt}added scalar:
             e(mean_y) =  {res}17.065947
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.74
{txt}{col 55}Prob > F      = {res}  0.1226
{txt}Total (centered) SS     = {res} 6370.004734{txt}{col 55}Centered R2   = {res}  0.0121
{txt}Total (uncentered) SS   = {res} 6370.004734{txt}{col 55}Uncentered R2 = {res}  0.0121
{txt}Residual SS             = {res} 6293.151066{txt}{col 55}Root MSE      = {res}   3.862

{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_bna_ins{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}-.0167174{col 30}{space 2} .2411954{col 41}{space 1}   -0.07{col 50}{space 3}0.945{col 58}{space 4}-.5086387{col 71}{space 3}  .475204
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0556637{col 30}{space 2} .0668278{col 41}{space 1}    0.83{col 50}{space 3}0.411{col 58}{space 4}-.0806325{col 71}{space 3}   .19196
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0139244{col 30}{space 2} .1115441{col 41}{space 1}   -0.12{col 50}{space 3}0.901{col 58}{space 4}  -.24142{col 71}{space 3} .2135713
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1413937{col 30}{space 2} .0672192{col 41}{space 1}   -2.10{col 50}{space 3}0.044{col 58}{space 4}-.2784882{col 71}{space 3}-.0042992
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -1980.18{col 30}{space 2}  2268.45{col 41}{space 1}   -0.87{col 50}{space 3}0.389{col 58}{space 4}-6606.715{col 71}{space 3} 2646.355
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-395.7448{col 30}{space 2} 672.1862{col 41}{space 1}   -0.59{col 50}{space 3}0.560{col 58}{space 4}-1766.678{col 71}{space 3}  975.188
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 19.80651{col 30}{space 2} 22.69239{col 41}{space 1}    0.87{col 50}{space 3}0.389{col 58}{space 4}-26.47493{col 71}{space 3} 66.08795
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 3.127269{col 30}{space 2} 3.739376{col 41}{space 1}    0.84{col 50}{space 3}0.409{col 58}{space 4}-4.499239{col 71}{space 3} 10.75378
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 7.161312{col 30}{space 2} 13.57079{col 41}{space 1}    0.53{col 50}{space 3}0.601{col 58}{space 4}-20.51649{col 71}{space 3} 34.83911
{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}   7.925
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0049
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.520
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  24.951
{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_b_1981_1996 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
{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}24.95109

{txt}added scalar:
             e(mean_y) =  {res}19.787649
{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}    4.64
{txt}{col 55}Prob > F      = {res}  0.0006
{txt}Total (centered) SS     = {res} 9320.153626{txt}{col 55}Centered R2   = {res} -0.4306
{txt}Total (uncentered) SS   = {res} 9320.153626{txt}{col 55}Uncentered R2 = {res} -0.4306
{txt}Residual SS             = {res} 13333.12023{txt}{col 55}Root MSE      = {res}   5.621

{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_bna_ins{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}-.8188809{col 30}{space 2} .2952325{col 41}{space 1}   -2.77{col 50}{space 3}0.009{col 58}{space 4}-1.421011{col 71}{space 3}-.2167502
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0435543{col 30}{space 2} .1124515{col 41}{space 1}    0.39{col 50}{space 3}0.701{col 58}{space 4}-.1857921{col 71}{space 3} .2729008
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0360762{col 30}{space 2} .1390804{col 41}{space 1}    0.26{col 50}{space 3}0.797{col 58}{space 4}-.2475802{col 71}{space 3} .3197326
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0563331{col 30}{space 2} .1525133{col 41}{space 1}    0.37{col 50}{space 3}0.714{col 58}{space 4}-.2547197{col 71}{space 3} .3673859
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-426.6451{col 30}{space 2} 1961.311{col 41}{space 1}   -0.22{col 50}{space 3}0.829{col 58}{space 4}-4426.766{col 71}{space 3} 3573.476
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1073.024{col 30}{space 2} 930.6255{col 41}{space 1}   -1.15{col 50}{space 3}0.258{col 58}{space 4}-2971.047{col 71}{space 3} 824.9996
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 2.830935{col 30}{space 2} 19.64921{col 41}{space 1}    0.14{col 50}{space 3}0.886{col 58}{space 4} -37.2439{col 71}{space 3} 42.90577
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} -.602028{col 30}{space 2} 6.114523{col 41}{space 1}   -0.10{col 50}{space 3}0.922{col 58}{space 4}-13.07268{col 71}{space 3} 11.86862
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 22.17966{col 30}{space 2} 18.53652{col 41}{space 1}    1.20{col 50}{space 3}0.241{col 58}{space 4}-15.62583{col 71}{space 3} 59.98516
{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}   7.548
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0060
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.936
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.431
{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_b_1981_1996 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
{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}20.43067

{txt}added scalar:
             e(mean_y) =  {res}28.387391
{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}    3.48
{txt}{col 55}Prob > F      = {res}  0.0045
{txt}Total (centered) SS     = {res} 4510.818268{txt}{col 55}Centered R2   = {res} -0.2135
{txt}Total (uncentered) SS   = {res} 4510.818268{txt}{col 55}Uncentered R2 = {res} -0.2135
{txt}Residual SS             = {res} 5473.925428{txt}{col 55}Root MSE      = {res}   3.602

{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_bna_ins{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} .4307661{col 30}{space 2} .2072913{col 41}{space 1}    2.08{col 50}{space 3}0.046{col 58}{space 4} .0079927{col 71}{space 3} .8535395
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0217658{col 30}{space 2} .0604374{col 41}{space 1}   -0.36{col 50}{space 3}0.721{col 58}{space 4}-.1450287{col 71}{space 3} .1014971
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0321441{col 30}{space 2} .1037368{col 41}{space 1}   -0.31{col 50}{space 3}0.759{col 58}{space 4}-.2437168{col 71}{space 3} .1794286
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0300991{col 30}{space 2} .0800659{col 41}{space 1}   -0.38{col 50}{space 3}0.710{col 58}{space 4}-.1933946{col 71}{space 3} .1331964
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-528.5297{col 30}{space 2} 1599.029{col 41}{space 1}   -0.33{col 50}{space 3}0.743{col 58}{space 4}-3789.771{col 71}{space 3} 2732.711
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1264.642{col 30}{space 2} 553.6442{col 41}{space 1}   -2.28{col 50}{space 3}0.029{col 58}{space 4}-2393.807{col 71}{space 3}-135.4771
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 3.758016{col 30}{space 2} 16.15549{col 41}{space 1}    0.23{col 50}{space 3}0.818{col 58}{space 4}-29.19132{col 71}{space 3} 36.70735
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 10.75104{col 30}{space 2} 3.569847{col 41}{space 1}    3.01{col 50}{space 3}0.005{col 58}{space 4} 3.470288{col 71}{space 3} 18.03179
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 22.58283{col 30}{space 2} 10.88505{col 41}{space 1}    2.07{col 50}{space 3}0.046{col 58}{space 4} .3826201{col 71}{space 3} 44.78303
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.354
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0038
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.792
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  26.175
{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_b_1981_1996 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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}26.175012

{txt}added scalar:
             e(mean_y) =  {res}16.72891
{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}    3.96
{txt}{col 55}Prob > F      = {res}  0.0019
{txt}Total (centered) SS     = {res} 5656.816906{txt}{col 55}Centered R2   = {res} -0.0322
{txt}Total (uncentered) SS   = {res} 5656.816906{txt}{col 55}Uncentered R2 = {res} -0.0322
{txt}Residual SS             = {res} 5839.118762{txt}{col 55}Root MSE      = {res}    3.72

{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_bna_ins{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} .3302845{col 30}{space 2} .2823922{col 41}{space 1}    1.17{col 50}{space 3}0.251{col 58}{space 4}-.2456581{col 71}{space 3} .9062271
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0129399{col 30}{space 2}  .082708{col 41}{space 1}   -0.16{col 50}{space 3}0.877{col 58}{space 4} -.181624{col 71}{space 3} .1557443
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0976357{col 30}{space 2} .1190519{col 41}{space 1}   -0.82{col 50}{space 3}0.418{col 58}{space 4}-.3404437{col 71}{space 3} .1451723
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0315306{col 30}{space 2} .1066317{col 41}{space 1}   -0.30{col 50}{space 3}0.769{col 58}{space 4}-.2490074{col 71}{space 3} .1859462
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 207.1953{col 30}{space 2} 1151.913{col 41}{space 1}    0.18{col 50}{space 3}0.858{col 58}{space 4}-2142.147{col 71}{space 3} 2556.537
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1477.857{col 30}{space 2} 546.4427{col 41}{space 1}   -2.70{col 50}{space 3}0.011{col 58}{space 4}-2592.334{col 71}{space 3}-363.3793
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} -4.16908{col 30}{space 2} 11.73696{col 41}{space 1}   -0.36{col 50}{space 3}0.725{col 58}{space 4}-28.10676{col 71}{space 3}  19.7686
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 6.929952{col 30}{space 2} 4.318777{col 41}{space 1}    1.60{col 50}{space 3}0.119{col 58}{space 4}-1.878252{col 71}{space 3} 15.73815
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 28.02664{col 30}{space 2} 10.72164{col 41}{space 1}    2.61{col 50}{space 3}0.014{col 58}{space 4} 6.159706{col 71}{space 3} 49.89358
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.109
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0044
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.072
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.432
{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_b_1981_1996 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
{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}21.431805

{txt}added scalar:
             e(mean_y) =  {res}19.41339
{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}    3.67
{txt}{col 55}Prob > F      = {res}  0.0032
{txt}Total (centered) SS     = {res} 6867.716367{txt}{col 55}Centered R2   = {res} -0.2606
{txt}Total (uncentered) SS   = {res} 6867.716367{txt}{col 55}Uncentered R2 = {res} -0.2606
{txt}Residual SS             = {res} 8657.429439{txt}{col 55}Root MSE      = {res}   4.529

{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_bna_ins{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} .5671756{col 30}{space 2} .2754133{col 41}{space 1}    2.06{col 50}{space 3}0.048{col 58}{space 4} .0054666{col 71}{space 3} 1.128885
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1319059{col 30}{space 2} .0638465{col 41}{space 1}   -2.07{col 50}{space 3}0.047{col 58}{space 4}-.2621218{col 71}{space 3}  -.00169
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0341534{col 30}{space 2} .1203767{col 41}{space 1}    0.28{col 50}{space 3}0.779{col 58}{space 4}-.2113565{col 71}{space 3} .2796632
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1350701{col 30}{space 2} .1289605{col 41}{space 1}   -1.05{col 50}{space 3}0.303{col 58}{space 4}-.3980867{col 71}{space 3} .1279466
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-971.4231{col 30}{space 2} 1623.425{col 41}{space 1}   -0.60{col 50}{space 3}0.554{col 58}{space 4}-4282.421{col 71}{space 3} 2339.574
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1513.782{col 30}{space 2} 788.9154{col 41}{space 1}   -1.92{col 50}{space 3}0.064{col 58}{space 4}-3122.785{col 71}{space 3} 95.22173
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 7.891496{col 30}{space 2} 16.47332{col 41}{space 1}    0.48{col 50}{space 3}0.635{col 58}{space 4}-25.70605{col 71}{space 3} 41.48905
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 8.572209{col 30}{space 2} 4.982203{col 41}{space 1}    1.72{col 50}{space 3}0.095{col 58}{space 4}-1.589061{col 71}{space 3} 18.73348
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 28.16307{col 30}{space 2} 15.61808{col 41}{space 1}    1.80{col 50}{space 3}0.081{col 58}{space 4}-3.690206{col 71}{space 3} 60.01634
{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}   7.865
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0050
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.273
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.668
{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_b_1981_1996 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
{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}20.667687

{txt}added scalar:
             e(mean_y) =  {res}20.639399
{txt}
{com}. 
. // Abstention: Only SOCIO-ECONOMIC
. 
. global w "$socec_aspec"
{txt}
{com}. 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}. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_bna_ins ///
>                 (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  3{com}.                 
.         estimates store P`year'T1_ABST3, title(`year'R1)
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_bna_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{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}    6.91
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 12266.71333{txt}{col 55}Centered R2   = {res} -0.2506
{txt}Total (uncentered) SS   = {res} 12266.71333{txt}{col 55}Uncentered R2 = {res} -0.2506
{txt}Residual SS             = {res} 15340.31512{txt}{col 55}Root MSE      = {res}   6.015

{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_bna_ins{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} 1.076832{col 30}{space 2}  .424949{col 41}{space 1}    2.53{col 50}{space 3}0.017{col 58}{space 4} .2101431{col 71}{space 3} 1.943521
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1940787{col 30}{space 2} .0890835{col 41}{space 1}   -2.18{col 50}{space 3}0.037{col 58}{space 4}-.3757657{col 71}{space 3}-.0123916
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0926388{col 30}{space 2} .1792931{col 41}{space 1}    0.52{col 50}{space 3}0.609{col 58}{space 4}-.2730319{col 71}{space 3} .4583094
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.4700251{col 30}{space 2} .1584876{col 41}{space 1}   -2.97{col 50}{space 3}0.006{col 58}{space 4}-.7932626{col 71}{space 3}-.1467875
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 21.89368{col 30}{space 2} 3127.145{col 41}{space 1}    0.01{col 50}{space 3}0.994{col 58}{space 4}-6355.961{col 71}{space 3} 6399.748
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 890.3693{col 30}{space 2}   1104.7{col 41}{space 1}    0.81{col 50}{space 3}0.426{col 58}{space 4}-1362.681{col 71}{space 3}  3143.42
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.080158{col 30}{space 2}  31.3621{col 41}{space 1}    0.03{col 50}{space 3}0.973{col 58}{space 4}-62.88327{col 71}{space 3} 65.04358
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} -3.77601{col 30}{space 2} 8.481533{col 41}{space 1}   -0.45{col 50}{space 3}0.659{col 58}{space 4}-21.07421{col 71}{space 3} 13.52219
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-17.26713{col 30}{space 2} 22.10322{col 41}{space 1}   -0.78{col 50}{space 3}0.441{col 58}{space 4}-62.34694{col 71}{space 3} 27.81269
{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
{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}15.28727
{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}    2.48
{txt}{col 55}Prob > F      = {res}  0.0292
{txt}Total (centered) SS     = {res} 19174.40066{txt}{col 55}Centered R2   = {res} -0.4716
{txt}Total (uncentered) SS   = {res} 19174.40066{txt}{col 55}Uncentered R2 = {res} -0.4716
{txt}Residual SS             = {res}  28216.1234{txt}{col 55}Root MSE      = {res}   8.158

{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_bna_ins{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}  1.54634{col 30}{space 2} .6859122{col 41}{space 1}    2.25{col 50}{space 3}0.031{col 58}{space 4} .1474128{col 71}{space 3} 2.945267
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1376154{col 30}{space 2} .1268605{col 41}{space 1}   -1.08{col 50}{space 3}0.286{col 58}{space 4}-.3963492{col 71}{space 3} .1211184
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0717601{col 30}{space 2} .2275784{col 41}{space 1}    0.32{col 50}{space 3}0.755{col 58}{space 4}-.3923891{col 71}{space 3} .5359093
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.4649339{col 30}{space 2} .1992643{col 41}{space 1}   -2.33{col 50}{space 3}0.026{col 58}{space 4}-.8713361{col 71}{space 3}-.0585316
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 764.4709{col 30}{space 2} 3319.835{col 41}{space 1}    0.23{col 50}{space 3}0.819{col 58}{space 4}-6006.378{col 71}{space 3}  7535.32
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 131.8082{col 30}{space 2} 1323.193{col 41}{space 1}    0.10{col 50}{space 3}0.921{col 58}{space 4}-2566.862{col 71}{space 3} 2830.478
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-7.715663{col 30}{space 2} 33.86698{col 41}{space 1}   -0.23{col 50}{space 3}0.821{col 58}{space 4}-76.78783{col 71}{space 3} 61.35651
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-8.807137{col 30}{space 2} 9.815808{col 41}{space 1}   -0.90{col 50}{space 3}0.377{col 58}{space 4}-28.82661{col 71}{space 3} 11.21234
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-.4707007{col 30}{space 2} 26.26872{col 41}{space 1}   -0.02{col 50}{space 3}0.986{col 58}{space 4} -54.0461{col 71}{space 3}  53.1047
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.580
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0059
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.999
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.810
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}22.81044

{txt}added scalar:
             e(mean_y) =  {res}23.6278
{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}    1.84
{txt}{col 55}Prob > F      = {res}  0.1012
{txt}Total (centered) SS     = {res} 9400.488156{txt}{col 55}Centered R2   = {res} -0.3445
{txt}Total (uncentered) SS   = {res} 9400.488156{txt}{col 55}Uncentered R2 = {res} -0.3445
{txt}Residual SS             = {res} 12638.51719{txt}{col 55}Root MSE      = {res}    5.46

{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_bna_ins{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} .9686627{col 30}{space 2} .3973653{col 41}{space 1}    2.44{col 50}{space 3}0.021{col 58}{space 4} .1582308{col 71}{space 3} 1.779095
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0804503{col 30}{space 2}  .106446{col 41}{space 1}   -0.76{col 50}{space 3}0.455{col 58}{space 4}-.2975482{col 71}{space 3} .1366477
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.068958{col 30}{space 2} .1699069{col 41}{space 1}   -0.41{col 50}{space 3}0.688{col 58}{space 4}-.4154854{col 71}{space 3} .2775695
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1281935{col 30}{space 2}  .159875{col 41}{space 1}   -0.80{col 50}{space 3}0.429{col 58}{space 4}-.4542608{col 71}{space 3} .1978737
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1068.559{col 30}{space 2} 1720.402{col 41}{space 1}   -0.62{col 50}{space 3}0.539{col 58}{space 4}-4577.343{col 71}{space 3} 2440.224
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1625.895{col 30}{space 2} 742.7089{col 41}{space 1}   -2.19{col 50}{space 3}0.036{col 58}{space 4} -3140.66{col 71}{space 3}-111.1303
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 8.442289{col 30}{space 2} 17.50438{col 41}{space 1}    0.48{col 50}{space 3}0.633{col 58}{space 4}-27.25814{col 71}{space 3} 44.14272
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.292033{col 30}{space 2} 3.861501{col 41}{space 1}   -1.37{col 50}{space 3}0.180{col 58}{space 4}-13.16762{col 71}{space 3} 2.583549
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}  34.6462{col 30}{space 2} 14.75644{col 41}{space 1}    2.35{col 50}{space 3}0.025{col 58}{space 4} 4.550234{col 71}{space 3} 64.74216
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   6.925
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0085
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.386
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  19.871
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}19.871198

{txt}added scalar:
             e(mean_y) =  {res}17.065947
{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}    1.64
{txt}{col 55}Prob > F      = {res}  0.1460
{txt}Total (centered) SS     = {res} 6115.901129{txt}{col 55}Centered R2   = {res} -0.0114
{txt}Total (uncentered) SS   = {res} 6115.901129{txt}{col 55}Uncentered R2 = {res} -0.0114
{txt}Residual SS             = {res} 6185.372066{txt}{col 55}Root MSE      = {res}   3.819

{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_bna_ins{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} -.138123{col 30}{space 2} .2239777{col 41}{space 1}   -0.62{col 50}{space 3}0.542{col 58}{space 4}-.5949285{col 71}{space 3} .3186825
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .067377{col 30}{space 2} .0609339{col 41}{space 1}    1.11{col 50}{space 3}0.277{col 58}{space 4}-.0568986{col 71}{space 3} .1916527
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0204004{col 30}{space 2} .1097153{col 41}{space 1}    0.19{col 50}{space 3}0.854{col 58}{space 4}-.2033654{col 71}{space 3} .2441661
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1019215{col 30}{space 2} .0697583{col 41}{space 1}   -1.46{col 50}{space 3}0.154{col 58}{space 4}-.2441945{col 71}{space 3} .0403515
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3112.654{col 30}{space 2} 2175.414{col 41}{space 1}   -1.43{col 50}{space 3}0.162{col 58}{space 4} -7549.44{col 71}{space 3} 1324.132
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-256.2615{col 30}{space 2} 664.9842{col 41}{space 1}   -0.39{col 50}{space 3}0.703{col 58}{space 4}-1612.506{col 71}{space 3} 1099.983
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 31.57922{col 30}{space 2} 21.70895{col 41}{space 1}    1.45{col 50}{space 3}0.156{col 58}{space 4}-12.69648{col 71}{space 3} 75.85493
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .2632742{col 30}{space 2} 3.774096{col 41}{space 1}    0.07{col 50}{space 3}0.945{col 58}{space 4}-7.434046{col 71}{space 3} 7.960594
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 5.238868{col 30}{space 2} 13.46448{col 41}{space 1}    0.39{col 50}{space 3}0.700{col 58}{space 4}-22.22211{col 71}{space 3} 32.69985
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.711
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0055
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.520
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.545
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.545321

{txt}added scalar:
             e(mean_y) =  {res}19.787649
{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}    2.30
{txt}{col 55}Prob > F      = {res}  0.0415
{txt}Total (centered) SS     = {res} 9282.538267{txt}{col 55}Centered R2   = {res} -0.3079
{txt}Total (uncentered) SS   = {res} 9282.538267{txt}{col 55}Uncentered R2 = {res} -0.3079
{txt}Residual SS             = {res}  12140.4878{txt}{col 55}Root MSE      = {res}   5.351

{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_bna_ins{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}-.6478628{col 30}{space 2} .3079561{col 41}{space 1}   -2.10{col 50}{space 3}0.044{col 58}{space 4}-1.275943{col 71}{space 3}-.0197823
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0534352{col 30}{space 2} .1092088{col 41}{space 1}    0.49{col 50}{space 3}0.628{col 58}{space 4}-.1692977{col 71}{space 3} .2761681
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.009282{col 30}{space 2} .1174346{col 41}{space 1}   -0.08{col 50}{space 3}0.938{col 58}{space 4}-.2487914{col 71}{space 3} .2302274
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0387932{col 30}{space 2} .1411947{col 41}{space 1}    0.27{col 50}{space 3}0.785{col 58}{space 4}-.2491754{col 71}{space 3} .3267618
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2029.817{col 30}{space 2} 1964.101{col 41}{space 1}   -1.03{col 50}{space 3}0.309{col 58}{space 4}-6035.628{col 71}{space 3} 1975.994
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-842.0485{col 30}{space 2} 811.9461{col 41}{space 1}   -1.04{col 50}{space 3}0.308{col 58}{space 4}-2498.024{col 71}{space 3} 813.9265
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  19.5718{col 30}{space 2} 19.99924{col 41}{space 1}    0.98{col 50}{space 3}0.335{col 58}{space 4}-21.21693{col 71}{space 3} 60.36053
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-3.915259{col 30}{space 2} 5.747289{col 41}{space 1}   -0.68{col 50}{space 3}0.501{col 58}{space 4}-15.63693{col 71}{space 3} 7.806416
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 18.48149{col 30}{space 2} 16.08001{col 41}{space 1}    1.15{col 50}{space 3}0.259{col 58}{space 4} -14.3139{col 71}{space 3} 51.27688
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.232
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0041
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.085
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.458
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.457744

{txt}added scalar:
             e(mean_y) =  {res}28.387391
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.24
{txt}{col 55}Prob > F      = {res}  0.0464
{txt}Total (centered) SS     = {res} 4363.293914{txt}{col 55}Centered R2   = {res} -0.2021
{txt}Total (uncentered) SS   = {res} 4363.293914{txt}{col 55}Uncentered R2 = {res} -0.2021
{txt}Residual SS             = {res} 5245.206526{txt}{col 55}Root MSE      = {res}   3.517

{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_bna_ins{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} .3819965{col 30}{space 2} .1865138{col 41}{space 1}    2.05{col 50}{space 3}0.049{col 58}{space 4}  .001599{col 71}{space 3}  .762394
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0034762{col 30}{space 2} .0610106{col 41}{space 1}   -0.06{col 50}{space 3}0.955{col 58}{space 4}-.1279083{col 71}{space 3} .1209558
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  -.02927{col 30}{space 2} .1099588{col 41}{space 1}   -0.27{col 50}{space 3}0.792{col 58}{space 4}-.2535323{col 71}{space 3} .1949924
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0446171{col 30}{space 2} .0857698{col 41}{space 1}   -0.52{col 50}{space 3}0.607{col 58}{space 4}-.2195458{col 71}{space 3} .1303115
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1255.269{col 30}{space 2} 1439.662{col 41}{space 1}   -0.87{col 50}{space 3}0.390{col 58}{space 4}-4191.479{col 71}{space 3} 1680.941
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-981.7779{col 30}{space 2} 529.9007{col 41}{space 1}   -1.85{col 50}{space 3}0.073{col 58}{space 4}-2062.517{col 71}{space 3}  98.9616
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  11.6066{col 30}{space 2} 14.61184{col 41}{space 1}    0.79{col 50}{space 3}0.433{col 58}{space 4}-18.19445{col 71}{space 3} 41.40764
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 8.880767{col 30}{space 2} 3.370951{col 41}{space 1}    2.63{col 50}{space 3}0.013{col 58}{space 4} 2.005668{col 71}{space 3} 15.75587
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 17.38763{col 30}{space 2} 10.36661{col 41}{space 1}    1.68{col 50}{space 3}0.104{col 58}{space 4}-3.755223{col 71}{space 3} 38.53047
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.496
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.287
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  30.887
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}30.887148

{txt}added scalar:
             e(mean_y) =  {res}16.72891
{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}    1.76
{txt}{col 55}Prob > F      = {res}  0.1178
{txt}Total (centered) SS     = {res} 5211.120967{txt}{col 55}Centered R2   = {res}  0.0051
{txt}Total (uncentered) SS   = {res} 5211.120967{txt}{col 55}Uncentered R2 = {res}  0.0051
{txt}Residual SS             = {res} 5184.286439{txt}{col 55}Root MSE      = {res}   3.497

{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_bna_ins{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} .1590063{col 30}{space 2} .2499961{col 41}{space 1}    0.64{col 50}{space 3}0.529{col 58}{space 4}-.3508641{col 71}{space 3} .6688767
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0121211{col 30}{space 2}  .081006{col 41}{space 1}   -0.15{col 50}{space 3}0.882{col 58}{space 4}-.1773339{col 71}{space 3} .1530917
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.051538{col 30}{space 2}  .106706{col 41}{space 1}   -0.48{col 50}{space 3}0.632{col 58}{space 4}-.2691664{col 71}{space 3} .1660903
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0055916{col 30}{space 2} .1011567{col 41}{space 1}    0.06{col 50}{space 3}0.956{col 58}{space 4}-.2007189{col 71}{space 3} .2119021
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-553.9677{col 30}{space 2}  1098.61{col 41}{space 1}   -0.50{col 50}{space 3}0.618{col 58}{space 4}-2794.597{col 71}{space 3} 1686.661
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-978.2299{col 30}{space 2} 457.4398{col 41}{space 1}   -2.14{col 50}{space 3}0.040{col 58}{space 4}-1911.185{col 71}{space 3}-45.27533
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 4.274453{col 30}{space 2} 11.16312{col 41}{space 1}    0.38{col 50}{space 3}0.704{col 58}{space 4}-18.49288{col 71}{space 3} 27.04178
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.880424{col 30}{space 2}  3.73125{col 41}{space 1}    0.77{col 50}{space 3}0.446{col 58}{space 4}-4.729511{col 71}{space 3} 10.49036
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 19.06413{col 30}{space 2}  9.02701{col 41}{space 1}    2.11{col 50}{space 3}0.043{col 58}{space 4} .6534231{col 71}{space 3} 37.47484
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.786
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0030
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.405
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  26.745
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}26.745348

{txt}added scalar:
             e(mean_y) =  {res}19.41339
{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}    2.23
{txt}{col 55}Prob > F      = {res}  0.0469
{txt}Total (centered) SS     = {res} 6277.983265{txt}{col 55}Centered R2   = {res} -0.0346
{txt}Total (uncentered) SS   = {res} 6277.983265{txt}{col 55}Uncentered R2 = {res} -0.0346
{txt}Residual SS             = {res} 6495.076881{txt}{col 55}Root MSE      = {res}   3.914

{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_bna_ins{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} .2289171{col 30}{space 2}  .191469{col 41}{space 1}    1.20{col 50}{space 3}0.241{col 58}{space 4}-.1615865{col 71}{space 3} .6194207
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1206603{col 30}{space 2} .0600934{col 41}{space 1}   -2.01{col 50}{space 3}0.053{col 58}{space 4}-.2432215{col 71}{space 3}  .001901
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0731887{col 30}{space 2} .0876297{col 41}{space 1}    0.84{col 50}{space 3}0.410{col 58}{space 4}-.1055333{col 71}{space 3} .2519107
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1014155{col 30}{space 2} .1202411{col 41}{space 1}   -0.84{col 50}{space 3}0.405{col 58}{space 4}-.3466488{col 71}{space 3} .1438177
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2236.126{col 30}{space 2} 1677.871{col 41}{space 1}   -1.33{col 50}{space 3}0.192{col 58}{space 4}-5658.166{col 71}{space 3} 1185.914
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -720.729{col 30}{space 2}  614.418{col 41}{space 1}   -1.17{col 50}{space 3}0.250{col 58}{space 4}-1973.843{col 71}{space 3} 532.3847
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 21.97131{col 30}{space 2} 16.97496{col 41}{space 1}    1.29{col 50}{space 3}0.205{col 58}{space 4}-12.64935{col 71}{space 3} 56.59197
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 5.483152{col 30}{space 2} 3.962188{col 41}{space 1}    1.38{col 50}{space 3}0.176{col 58}{space 4}-2.597783{col 71}{space 3} 13.56409
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 12.94462{col 30}{space 2} 12.04966{col 41}{space 1}    1.07{col 50}{space 3}0.291{col 58}{space 4}-11.63083{col 71}{space 3} 37.52006
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.430
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0037
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.541
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.340
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.33997

{txt}added scalar:
             e(mean_y) =  {res}20.639399
{txt}
{com}. 
. estfe . P*, 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}. 
. ******************************
. ***** 2. TABLE FOR PAPER *****
. ******************************
. 
. // Labels
. 
. la var perc_i_full "\\ Conscription proxy (\%)"
{txt}
{com}. 
. // Radical-Right, no controls
. 
. estout P1965T1_VOTE P1969T1_VOTE P1974T1_VOTE P1995T1_VOTE P2002T1_VOTE P2007T1_VOTE P2012T1_VOTE P2017T1_VOTE ///
>         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) ///
>         title(Abstention and the radical right-wing vote: Inclusion of controls) ///
>         prehead( ///
>         "\begin{c -(}table{c )-}[!h]" ///
>         "\begin{c -(}center{c )-}" ///
>         "\begin{c -(}threeparttable{c )-}" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\caption{c -(}@title\label{c -(}$program{c )-}{c )-}" ///
>         "\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}@M{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}" ///
>         "\hline" "\hline" ///
>         "&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\" ///   
>         "       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\" ///
>         "\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}" ///
>         "\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\" ///
>         "%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A1: No controls. Dep. Variable: Radical right-wing vote (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
\begin{c -(}table{c )-}[!h]
\begin{c -(}center{c )-}
\begin{c -(}threeparttable{c )-}
\begin{c -(}scriptsize{c )-}
\caption{c -(}Abstention and the radical right-wing vote: Inclusion of controls\label{c -(}EEREV-D-21-00004_TableC5{c )-}{c )-}
\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}8{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}
\hline
\hline
&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\
       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\
\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A1: No controls. Dep. Variable: Radical right-wing vote (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&       0.077   &               &       0.005   &       0.669** &       0.493** &       0.019   &       0.188   &       0.143   \\
                    &     (0.049)   &               &     (0.011)   &     (0.319)   &     (0.222)   &     (0.137)   &     (0.202)   &     (0.290)   \\

\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC5.tex"'})

{com}. 
. // Radical-Right, no socio-econ
. 
. estout P1965T1_VOTE2 P1969T1_VOTE P1974T1_VOTE2 P1995T1_VOTE2 P2002T1_VOTE2 P2007T1_VOTE2 P2012T1_VOTE2 P2017T1_VOTE2 ///
>         using "$results\\$program.tex", append 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) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A2: No socio-economic controls. Dep. Variable: RRW vote (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A2: No socio-economic controls. Dep. Variable: RRW vote (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&     --0.060   &               &       0.006   &       0.778*  &       0.696** &       0.150   &       0.313   &       0.244   \\
                    &     (0.100)   &               &     (0.016)   &     (0.402)   &     (0.326)   &     (0.214)   &     (0.307)   &     (0.384)   \\

\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC5.tex"'})

{com}. 
. // Radical-Right, no demo
. 
. estout P1965T1_VOTE3 P1969T1_VOTE P1974T1_VOTE3 P1995T1_VOTE3 P2002T1_VOTE3 P2007T1_VOTE3 P2012T1_VOTE3 P2017T1_VOTE3 ///
>         using "$results\\$program.tex", append 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) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A3: No demographic controls. Dep. Variable: RRW vote (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A3: No demographic controls. Dep. Variable: RRW vote (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&     --0.056   &               &       0.009   &       0.874** &       0.535   &     --0.002   &       0.091   &       0.085   \\
                    &     (0.117)   &               &     (0.020)   &     (0.423)   &     (0.335)   &     (0.215)   &     (0.317)   &     (0.453)   \\

\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC5.tex"'})

{com}. 
. // Abstention, no controls
. 
. estout P1965T1_ABST P1969T1_ABST P1974T1_ABST P1995T1_ABST P2002T1_ABST P2007T1_ABST P2012T1_ABST P2017T1_ABST ///
>         using "$results\\$program.tex", append 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) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B1: No controls. Dep. Variable: Abstention (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B1: No controls. Dep. Variable: Abstention (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&       2.179***&       2.663***&       1.697***&       0.330   &     --0.195   &       0.572***&       0.455*  &       0.529***\\
                    &     (0.276)   &     (0.502)   &     (0.282)   &     (0.215)   &     (0.196)   &     (0.188)   &     (0.239)   &     (0.192)   \\

\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC5.tex"'})

{com}. 
. // Abstention, no socio-econ
. 
. estout P1965T1_ABST2 P1969T1_ABST2 P1974T1_ABST2 P1995T1_ABST2 P2002T1_ABST2 P2007T1_ABST2 P2012T1_ABST2 P2017T1_ABST2 ///
>         using "$results\\$program.tex", append 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) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B2: No socio-economic controls. Dep. Variable: Abstention (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B2: No socio-economic controls. Dep. Variable: Abstention (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&       1.068** &       1.475** &       0.709** &     --0.017   &     --0.819***&       0.431** &       0.330   &       0.567** \\
                    &     (0.391)   &     (0.557)   &     (0.301)   &     (0.241)   &     (0.295)   &     (0.207)   &     (0.282)   &     (0.275)   \\

\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC5.tex"'})

{com}. 
. // Abstention, no demo
. 
. estout P1965T1_ABST3 P1969T1_ABST3 P1974T1_ABST3 P1995T1_ABST3 P2002T1_ABST3 P2007T1_ABST3 P2012T1_ABST3 P2017T1_ABST3 ///
>         using "$results\\$program.tex", append 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) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B3: No demographic controls. Dep. Variable: Abstention (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B3: No demographic controls. Dep. Variable: Abstention (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&       1.077** &       1.546** &       0.969** &     --0.138   &     --0.648** &       0.382** &       0.159   &       0.229   \\
                    &     (0.425)   &     (0.686)   &     (0.397)   &     (0.224)   &     (0.308)   &     (0.187)   &     (0.250)   &     (0.191)   \\

\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC5.tex"'})

{com}.         
. // F-stats
. 
. estout P1965T1_ABST P1969T1_ABST P1974T1_ABST P1995T1_ABST P2002T1_ABST P2007T1_ABST P2012T1_ABST P2017T1_ABST ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///               
>         stats(F_fs, lab("First-stage $ F $-stat (A1 and B1)") fmt(2)) ///       
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         drop(*) ///
>         prehead("") ///
>         posthead("") ///
>         prefoot("") ///
>         postfoot("")
{res}



First-stage $ F $-stat (A1 and B1)&       54.87   &       54.87   &       54.87   &       54.87   &       54.87   &       54.87   &       54.87   &       54.87   \\

{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC5.tex"'})

{com}. 
. estout P1965T1_ABST2 P1969T1_ABST2 P1974T1_ABST2 P1995T1_ABST2 P2002T1_ABST2 P2007T1_ABST2 P2012T1_ABST2 P2017T1_ABST2 ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///               
>         stats(F_fs, lab("First-stage $ F $-stat (A2 and B2)") fmt(2)) ///       
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         drop(*) ///
>         prehead("") ///
>         posthead("") ///
>         prefoot("") ///
>         postfoot("")
{res}



First-stage $ F $-stat (A2 and B2)&       25.86   &       26.03   &       31.80   &       24.95   &       20.43   &       26.18   &       21.43   &       20.67   \\

{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC5.tex"'})

{com}. 
. estout P1965T1_ABST3 P1969T1_ABST3 P1974T1_ABST3 P1995T1_ABST3 P2002T1_ABST3 P2007T1_ABST3 P2012T1_ABST3 P2017T1_ABST3 ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///               
>         stats(F_fs, lab("First-stage $ F $-stat (A3 and B3)") fmt(2)) ///       
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         drop(*) ///
>         prehead("") ///
>         posthead("") ///
>         prefoot("") ///
>         postfoot("")
{res}



First-stage $ F $-stat (A3 and B3)&       21.75   &       22.81   &       19.87   &       25.55   &       28.46   &       30.89   &       26.75   &       25.34   \\

{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC5.tex"'})

{com}.         
. // Closure
. 
. estout P1965T1_ABST P1969T1_ABST P1974T1_ABST P1995T1_ABST P2002T1_ABST P2007T1_ABST P2012T1_ABST P2017T1_ABST ///
>         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" ///
>         "Fertility controls = perc_b_1903_1912" ///
>         , labels(Yes )) ///
>         prehead("\\ Lat-lon polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ ") ///
>         posthead("") ///
>         prefoot("\hline") ///
>         postfoot("\hline" "\hline" ///
>         "\end{c -(}tabular*{c )-}" /// 
>         "\end{c -(}scriptsize{c )-}" ///
>         "\begin{c -(}tablenotes{c )-}[normal,flushleft]" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\item \emph{c -(}Notes{c )-}:" /// 
>         "2SLS estimates of the effect of conscription into the Wehrmacht on support for radical right-wing candidates and on abstention when only including " ///
>         "sequentially adding controls. " ///
>         "The unit of observation is a municipality. " ///
>         "Standard errors clustered at the canton level in parentheses. " ///
>         "Panels A1 to A3: 2SLS estimates with radical right-wing vote as the outcome; " ///
>         "Panels B1 to B3: 2SLS estimates abstention as the outcome. " ///
>         "Each column presents the estimation for a different election. " ///
>         "All specifications include a quadratic polynomial in latitude and longitude ($ x+y+x^2+y^2+xy $). " ///
>         "First-stage F-statistic is the Kleibergen-Paap rk Wald F-statistic of the first-stage estimation. " ///
>         "* significant at 10\%; ** at 5\%; *** at 1\%. " ///    
>         "\end{c -(}scriptsize{c )-}" ///
>         "\end{c -(}tablenotes{c )-}" ///
>         "\end{c -(}threeparttable{c )-}" ///
>         "\end{c -(}center{c )-}" ///
>         "\end{c -(}table{c )-}")
{res}
\\ Lat-lon polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ 

Border segment FE   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Historical dialect FE &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Fertility controls  &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
\hline
Observations        &         462   &         462   &         462   &         462   &         462   &         462   &         462   &         462   \\
Clusters            &          32   &          32   &          32   &          32   &          32   &          32   &          32   &          32   \\
\hline
\hline
\end{c -(}tabular*{c )-}
\end{c -(}scriptsize{c )-}
\begin{c -(}tablenotes{c )-}[normal,flushleft]
\begin{c -(}scriptsize{c )-}
\item \emph{c -(}Notes{c )-}:
2SLS estimates of the effect of conscription into the Wehrmacht on support for radical right-wing candidates and on abstention when only including 
sequentially adding controls. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panels A1 to A3: 2SLS estimates with radical right-wing vote as the outcome; 
Panels B1 to B3: 2SLS estimates abstention as the outcome. 
Each column presents the estimation for a different election. 
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_TableC5.tex"'})

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