{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE C4 ****
. 
. 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}. 
. // Candidate vote shares
. 
. g perc_LePen_ins=0
{txt}
{com}. replace perc_LePen_ins=(voix_LePen*100)/inscrits                        if annee>=1974
{txt}(8,794 real changes made)

{com}. 
. g perc_other_ins=0
{txt}
{com}. replace perc_other_ins=(voix_TixierVignancour*100)/inscrits if annee==1965
{txt}(1,296 real changes made)

{com}. replace perc_other_ins=(voix_DeVilliers*100)/inscrits           if annee==1995
{txt}(1,559 real changes made)

{com}. replace perc_other_ins=(voix_Megret*100)/inscrits                       if annee==2002
{txt}(1,534 real changes made)

{com}. replace perc_other_ins=(voix_DeVilliers*100)/inscrits           if annee==2007
{txt}(1,527 real changes made)

{com}. replace perc_other_ins=(voix_DupontAignan*100)/inscrits         if annee==2012
{txt}(1,512 real changes made)

{com}. replace perc_other_ins=(voix_DupontAignan*100)/inscrits         if annee==2017
{txt}(1,571 real changes made)

{com}. 
. // National Front Candidate
. 
. foreach year in 1965{c -(}
{txt}  2{com}. 
.         reg perc_LePen_ins perc_b_1913_1922 if annee==`year' & sample==1, cluster(ct_1936_enc)
{txt}  3{com}.         estimates store P`year'T1_VOTE_NF, title(`year'R1)
{txt}  4{com}.         qui sum perc_LePen_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_LePen_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_b_1913_1922 {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}. 
. foreach year in 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_LePen_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_NF
{txt}  4{com}.         estadd scalar F_fs=e(rkf)
{txt}  5{com}.         qui sum perc_LePen_ins if e(sample)
{txt}  6{com}.         scalar mean_y=r(mean)
{txt}  7{com}.         estadd scalar mean_y
{txt}  8{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}    1.03
{txt}{col 55}Prob > F      = {res}  0.4396
{txt}Total (centered) SS     = {res} 73.62421611{txt}{col 55}Centered R2   = {res}  0.0047
{txt}Total (uncentered) SS   = {res} 73.62421611{txt}{col 55}Uncentered R2 = {res}  0.0047
{txt}Residual SS             = {res} 73.27998475{txt}{col 55}Root MSE      = {res}   .4187

{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_LePen_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} .0115318{col 30}{space 2} .0174085{col 41}{space 1}    0.66{col 50}{space 3}0.513{col 58}{space 4} -.023973{col 71}{space 3} .0470366
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0059564{col 30}{space 2} .0054659{col 41}{space 1}    1.09{col 50}{space 3}0.284{col 58}{space 4}-.0051914{col 71}{space 3} .0171042
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0102141{col 30}{space 2} .0096435{col 41}{space 1}   -1.06{col 50}{space 3}0.298{col 58}{space 4}-.0298823{col 71}{space 3}  .009454
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0111885{col 30}{space 2} .0089592{col 41}{space 1}   -1.25{col 50}{space 3}0.221{col 58}{space 4}-.0294608{col 71}{space 3} .0070838
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 5.056143{col 30}{space 2} 102.0685{col 41}{space 1}    0.05{col 50}{space 3}0.961{col 58}{space 4}-203.1138{col 71}{space 3} 213.2261
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-32.71175{col 30}{space 2} 79.11743{col 41}{space 1}   -0.41{col 50}{space 3}0.682{col 58}{space 4}-194.0728{col 71}{space 3} 128.6493
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-.0940958{col 30}{space 2} 1.016298{col 41}{space 1}   -0.09{col 50}{space 3}0.927{col 58}{space 4} -2.16685{col 71}{space 3} 1.978658
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}  .677253{col 30}{space 2} .5928313{col 41}{space 1}    1.14{col 50}{space 3}0.262{col 58}{space 4}-.5318344{col 71}{space 3}  1.88634
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}  .465226{col 30}{space 2}  1.56777{col 41}{space 1}    0.30{col 50}{space 3}0.769{col 58}{space 4}-2.732263{col 71}{space 3} 3.662715
{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}   7.475
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0063
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.198
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.626
{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 perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _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}22.62604

{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}    2.29
{txt}{col 55}Prob > F      = {res}  0.0419
{txt}Total (centered) SS     = {res} 8862.597983{txt}{col 55}Centered R2   = {res} -0.4677
{txt}Total (uncentered) SS   = {res} 8862.597983{txt}{col 55}Uncentered R2 = {res} -0.4677
{txt}Residual SS             = {res} 13007.74657{txt}{col 55}Root MSE      = {res}   5.585

{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_LePen_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}  1.08496{col 30}{space 2} .3777793{col 41}{space 1}    2.87{col 50}{space 3}0.007{col 58}{space 4} .3144736{col 71}{space 3} 1.855446
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0293877{col 30}{space 2} .0938223{col 41}{space 1}    0.31{col 50}{space 3}0.756{col 58}{space 4}-.1619641{col 71}{space 3} .2207395
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0969636{col 30}{space 2} .1984253{col 41}{space 1}   -0.49{col 50}{space 3}0.629{col 58}{space 4}-.5016546{col 71}{space 3} .3077274
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0006651{col 30}{space 2} .1589592{col 41}{space 1}   -0.00{col 50}{space 3}0.997{col 58}{space 4}-.3248645{col 71}{space 3} .3235342
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1465.781{col 30}{space 2} 2333.485{col 41}{space 1}    0.63{col 50}{space 3}0.535{col 58}{space 4}-3293.394{col 71}{space 3} 6224.956
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1530.627{col 30}{space 2} 845.0296{col 41}{space 1}   -1.81{col 50}{space 3}0.080{col 58}{space 4}-3254.076{col 71}{space 3} 192.8223
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-17.49624{col 30}{space 2} 23.89603{col 41}{space 1}   -0.73{col 50}{space 3}0.470{col 58}{space 4}-66.23251{col 71}{space 3} 31.24002
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.016824{col 30}{space 2} 6.817866{col 41}{space 1}   -0.74{col 50}{space 3}0.467{col 58}{space 4}-18.92195{col 71}{space 3} 8.888305
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 32.36979{col 30}{space 2} 16.86316{col 41}{space 1}    1.92{col 50}{space 3}0.064{col 58}{space 4}-2.022852{col 71}{space 3} 66.76243
{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}   7.803
{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}  14.274
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.520
{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
{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}23.520374

{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}    1.72
{txt}{col 55}Prob > F      = {res}  0.1254
{txt}Total (centered) SS     = {res} 7314.922212{txt}{col 55}Centered R2   = {res} -0.1502
{txt}Total (uncentered) SS   = {res} 7314.922212{txt}{col 55}Uncentered R2 = {res} -0.1502
{txt}Residual SS             = {res} 8413.320663{txt}{col 55}Root MSE      = {res}   4.492

{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_LePen_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} .5427493{col 30}{space 2} .2906554{col 41}{space 1}    1.87{col 50}{space 3}0.071{col 58}{space 4}-.0500463{col 71}{space 3} 1.135545
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0030599{col 30}{space 2} .0747559{col 41}{space 1}    0.04{col 50}{space 3}0.968{col 58}{space 4}-.1494057{col 71}{space 3} .1555256
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  .071458{col 30}{space 2} .1344459{col 41}{space 1}    0.53{col 50}{space 3}0.599{col 58}{space 4}-.2027462{col 71}{space 3} .3456622
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1024613{col 30}{space 2} .1023931{col 41}{space 1}   -1.00{col 50}{space 3}0.325{col 58}{space 4}-.3112935{col 71}{space 3} .1063709
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-544.1914{col 30}{space 2} 1555.548{col 41}{space 1}   -0.35{col 50}{space 3}0.729{col 58}{space 4}-3716.752{col 71}{space 3} 2628.369
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1127.192{col 30}{space 2} 797.2663{col 41}{space 1}   -1.41{col 50}{space 3}0.167{col 58}{space 4}-2753.227{col 71}{space 3}  498.843
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 3.934738{col 30}{space 2} 15.74166{col 41}{space 1}    0.25{col 50}{space 3}0.804{col 58}{space 4}-28.17058{col 71}{space 3} 36.04006
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 7.010944{col 30}{space 2} 7.202471{col 41}{space 1}    0.97{col 50}{space 3}0.338{col 58}{space 4}-7.678592{col 71}{space 3} 21.70048
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 20.78347{col 30}{space 2} 15.75314{col 41}{space 1}    1.32{col 50}{space 3}0.197{col 58}{space 4}-11.34528{col 71}{space 3} 52.91221
{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}   7.830
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0051
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.483
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.848
{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
{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}20.848196

{txt}added scalar:
             e(mean_y) =  {res}19.295977
{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}    2.41
{txt}{col 55}Prob > F      = {res}  0.0335
{txt}Total (centered) SS     = {res} 5514.142028{txt}{col 55}Centered R2   = {res}  0.0508
{txt}Total (uncentered) SS   = {res} 5514.142028{txt}{col 55}Uncentered R2 = {res}  0.0508
{txt}Residual SS             = {res} 5233.862322{txt}{col 55}Root MSE      = {res}   3.543

{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_LePen_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} .0483972{col 30}{space 2}   .19868{col 41}{space 1}    0.24{col 50}{space 3}0.809{col 58}{space 4}-.3568135{col 71}{space 3} .4536078
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0482204{col 30}{space 2} .0602595{col 41}{space 1}    0.80{col 50}{space 3}0.430{col 58}{space 4}-.0746797{col 71}{space 3} .1711204
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0146512{col 30}{space 2} .0895936{col 41}{space 1}   -0.16{col 50}{space 3}0.871{col 58}{space 4}-.1973787{col 71}{space 3} .1680762
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0263843{col 30}{space 2} .0677628{col 41}{space 1}   -0.39{col 50}{space 3}0.700{col 58}{space 4}-.1645874{col 71}{space 3} .1118189
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2272.057{col 30}{space 2} 1063.924{col 41}{space 1}   -2.14{col 50}{space 3}0.041{col 58}{space 4}-4441.944{col 71}{space 3}-102.1696
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1341.666{col 30}{space 2} 538.6693{col 41}{space 1}   -2.49{col 50}{space 3}0.018{col 58}{space 4}-2440.289{col 71}{space 3}-243.0423
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  21.2749{col 30}{space 2} 10.68037{col 41}{space 1}    1.99{col 50}{space 3}0.055{col 58}{space 4}-.5078614{col 71}{space 3} 43.05767
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.106514{col 30}{space 2} 4.391246{col 41}{space 1}   -0.25{col 50}{space 3}0.803{col 58}{space 4}-10.06252{col 71}{space 3} 7.849491
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 27.64909{col 30}{space 2} 10.63141{col 41}{space 1}    2.60{col 50}{space 3}0.014{col 58}{space 4} 5.966196{col 71}{space 3} 49.33199
{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}   8.606
{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}  15.019
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.007
{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
{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}28.006617

{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}    3.18
{txt}{col 55}Prob > F      = {res}  0.0078
{txt}Total (centered) SS     = {res} 7587.892197{txt}{col 55}Centered R2   = {res}  0.0631
{txt}Total (uncentered) SS   = {res} 7587.892197{txt}{col 55}Uncentered R2 = {res}  0.0631
{txt}Residual SS             = {res} 7109.388988{txt}{col 55}Root MSE      = {res}   4.129

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}  perc_LePen_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} .2097519{col 30}{space 2} .2867134{col 41}{space 1}    0.73{col 50}{space 3}0.470{col 58}{space 4}-.3750039{col 71}{space 3} .7945076
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0376263{col 30}{space 2} .0510748{col 41}{space 1}    0.74{col 50}{space 3}0.467{col 58}{space 4}-.0665413{col 71}{space 3}  .141794
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0099856{col 30}{space 2} .1362015{col 41}{space 1}   -0.07{col 50}{space 3}0.942{col 58}{space 4}-.2877703{col 71}{space 3} .2677991
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0813249{col 30}{space 2} .1016007{col 41}{space 1}    0.80{col 50}{space 3}0.430{col 58}{space 4}-.1258911{col 71}{space 3} .2885409
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3119.201{col 30}{space 2} 1027.208{col 41}{space 1}   -3.04{col 50}{space 3}0.005{col 58}{space 4}-5214.204{col 71}{space 3}-1024.197
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1686.928{col 30}{space 2} 663.3945{col 41}{space 1}   -2.54{col 50}{space 3}0.016{col 58}{space 4}-3039.931{col 71}{space 3}-333.9264
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 29.46673{col 30}{space 2} 10.74929{col 41}{space 1}    2.74{col 50}{space 3}0.010{col 58}{space 4} 7.543406{col 71}{space 3} 51.39005
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.7474615{col 30}{space 2} 4.927279{col 41}{space 1}   -0.15{col 50}{space 3}0.880{col 58}{space 4}-10.79671{col 71}{space 3}  9.30179
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 34.61874{col 30}{space 2} 13.55102{col 41}{space 1}    2.55{col 50}{space 3}0.016{col 58}{space 4} 6.981254{col 71}{space 3} 62.25623
{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}   8.652
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0033
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.062
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.507
{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
{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}20.507488

{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}    3.08
{txt}{col 55}Prob > F      = {res}  0.0093
{txt}Total (centered) SS     = {res} 9083.430189{txt}{col 55}Centered R2   = {res}  0.0459
{txt}Total (uncentered) SS   = {res} 9083.430189{txt}{col 55}Uncentered R2 = {res}  0.0459
{txt}Residual SS             = {res} 8666.484579{txt}{col 55}Root MSE      = {res}   4.559

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}  perc_LePen_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} .0854827{col 30}{space 2}  .349071{col 41}{space 1}    0.24{col 50}{space 3}0.808{col 58}{space 4}-.6264522{col 71}{space 3} .7974176
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1118315{col 30}{space 2} .0647191{col 41}{space 1}    1.73{col 50}{space 3}0.094{col 58}{space 4}-.0201639{col 71}{space 3} .2438269
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  -.02359{col 30}{space 2} .0985338{col 41}{space 1}   -0.24{col 50}{space 3}0.812{col 58}{space 4}-.2245511{col 71}{space 3} .1773711
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .1295632{col 30}{space 2} .1044688{col 41}{space 1}    1.24{col 50}{space 3}0.224{col 58}{space 4}-.0835023{col 71}{space 3} .3426286
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-408.2074{col 30}{space 2} 2098.593{col 41}{space 1}   -0.19{col 50}{space 3}0.847{col 58}{space 4}-4688.316{col 71}{space 3} 3871.901
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-943.3901{col 30}{space 2} 992.8607{col 41}{space 1}   -0.95{col 50}{space 3}0.349{col 58}{space 4}-2968.343{col 71}{space 3} 1081.563
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  2.93926{col 30}{space 2} 21.32926{col 41}{space 1}    0.14{col 50}{space 3}0.891{col 58}{space 4}-40.56206{col 71}{space 3} 46.44057
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.477755{col 30}{space 2} 4.051109{col 41}{space 1}    0.36{col 50}{space 3}0.718{col 58}{space 4}-6.784536{col 71}{space 3} 9.740046
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 18.75969{col 30}{space 2} 20.21419{col 41}{space 1}    0.93{col 50}{space 3}0.361{col 58}{space 4}-22.46742{col 71}{space 3}  59.9868
{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}   8.275
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0040
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.731
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.794
{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
{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}20.793739

{txt}added scalar:
             e(mean_y) =  {res}27.274936
{txt}
{com}. 
. // Other
. 
. foreach year in 1965 1995 2002 2007 2012 2017{c -(} // 2003 2018
{txt}  2{com}.         
.         ivreghdfe perc_other_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_O
{txt}  4{com}.         estadd scalar F_fs=e(rkf)
{txt}  5{com}.         qui sum perc_other_ins if e(sample)
{txt}  6{com}.         scalar mean_y=r(mean)
{txt}  7{com}.         estadd scalar mean_y
{txt}  8{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}    1.17
{txt}{col 55}Prob > F      = {res}  0.3497
{txt}Total (centered) SS     = {res} 617.1098426{txt}{col 55}Centered R2   = {res} -0.0366
{txt}Total (uncentered) SS   = {res} 617.1098426{txt}{col 55}Uncentered R2 = {res} -0.0366
{txt}Residual SS             = {res} 639.6713385{txt}{col 55}Root MSE      = {res}   1.237

{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_other_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}-.0677204{col 30}{space 2} .1252164{col 41}{space 1}   -0.54{col 50}{space 3}0.592{col 58}{space 4} -.323101{col 71}{space 3} .1876601
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .025015{col 30}{space 2} .0227391{col 41}{space 1}    1.10{col 50}{space 3}0.280{col 58}{space 4}-.0213617{col 71}{space 3} .0713917
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0436579{col 30}{space 2}  .024364{col 41}{space 1}    1.79{col 50}{space 3}0.083{col 58}{space 4}-.0060328{col 71}{space 3} .0933487
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0854673{col 30}{space 2} .0367771{col 41}{space 1}   -2.32{col 50}{space 3}0.027{col 58}{space 4}-.1604747{col 71}{space 3}-.0104599
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-743.1771{col 30}{space 2} 640.0628{col 41}{space 1}   -1.16{col 50}{space 3}0.254{col 58}{space 4}-2048.594{col 71}{space 3} 562.2395
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 237.0571{col 30}{space 2} 157.2973{col 41}{space 1}    1.51{col 50}{space 3}0.142{col 58}{space 4}-83.75289{col 71}{space 3} 557.8671
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 7.996053{col 30}{space 2} 6.560448{col 41}{space 1}    1.22{col 50}{space 3}0.232{col 58}{space 4}-5.384068{col 71}{space 3} 21.37617
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .5975452{col 30}{space 2} 1.288627{col 41}{space 1}    0.46{col 50}{space 3}0.646{col 58}{space 4}-2.030627{col 71}{space 3} 3.225717
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-5.003153{col 30}{space 2}  3.15717{col 41}{space 1}   -1.58{col 50}{space 3}0.123{col 58}{space 4}-11.44224{col 71}{space 3} 1.435939
{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}   7.400
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0065
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.488
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.042
{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 perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _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}20.041981

{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}    1.88
{txt}{col 55}Prob > F      = {res}  0.0926
{txt}Total (centered) SS     = {res} 1338.892372{txt}{col 55}Centered R2   = {res} -0.0144
{txt}Total (uncentered) SS   = {res} 1338.892372{txt}{col 55}Uncentered R2 = {res} -0.0144
{txt}Residual SS             = {res}  1358.17803{txt}{col 55}Root MSE      = {res}   1.805

{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_other_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}-.0761634{col 30}{space 2} .1149704{col 41}{space 1}   -0.66{col 50}{space 3}0.513{col 58}{space 4}-.3106471{col 71}{space 3} .1583204
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0029953{col 30}{space 2} .0359966{col 41}{space 1}   -0.08{col 50}{space 3}0.934{col 58}{space 4}-.0764109{col 71}{space 3} .0704204
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0865935{col 30}{space 2} .0400982{col 41}{space 1}    2.16{col 50}{space 3}0.039{col 58}{space 4} .0048128{col 71}{space 3} .1683742
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0803299{col 30}{space 2} .0611251{col 41}{space 1}   -1.31{col 50}{space 3}0.198{col 58}{space 4}-.2049954{col 71}{space 3} .0443356
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 272.3943{col 30}{space 2} 850.3368{col 41}{space 1}    0.32{col 50}{space 3}0.751{col 58}{space 4}-1461.879{col 71}{space 3} 2006.668
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-114.4946{col 30}{space 2}  291.775{col 41}{space 1}   -0.39{col 50}{space 3}0.697{col 58}{space 4}-709.5737{col 71}{space 3} 480.5845
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-2.969935{col 30}{space 2} 8.505183{col 41}{space 1}   -0.35{col 50}{space 3}0.729{col 58}{space 4}-20.31637{col 71}{space 3}  14.3765
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.4823069{col 30}{space 2} 2.288615{col 41}{space 1}   -0.21{col 50}{space 3}0.834{col 58}{space 4}-5.149967{col 71}{space 3} 4.185354
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 2.498887{col 30}{space 2} 5.808327{col 41}{space 1}    0.43{col 50}{space 3}0.670{col 58}{space 4}-9.347274{col 71}{space 3} 14.34505
{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}   7.803
{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}  14.274
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.520
{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
{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}23.520374

{txt}added scalar:
             e(mean_y) =  {res}3.8461765
{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}    1.19
{txt}{col 55}Prob > F      = {res}  0.3343
{txt}Total (centered) SS     = {res} 940.4679477{txt}{col 55}Centered R2   = {res} -0.1191
{txt}Total (uncentered) SS   = {res} 940.4679477{txt}{col 55}Uncentered R2 = {res} -0.1191
{txt}Residual SS             = {res} 1052.496529{txt}{col 55}Root MSE      = {res}   1.589

{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_other_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} .1936483{col 30}{space 2} .1034358{col 41}{space 1}    1.87{col 50}{space 3}0.071{col 58}{space 4}-.0173104{col 71}{space 3}  .404607
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0188384{col 30}{space 2} .0261296{col 41}{space 1}    0.72{col 50}{space 3}0.476{col 58}{space 4}-.0344533{col 71}{space 3} .0721302
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0233088{col 30}{space 2} .0361697{col 41}{space 1}   -0.64{col 50}{space 3}0.524{col 58}{space 4}-.0970773{col 71}{space 3} .0504597
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0072445{col 30}{space 2} .0418713{col 41}{space 1}    0.17{col 50}{space 3}0.864{col 58}{space 4}-.0781526{col 71}{space 3} .0926416
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-943.9472{col 30}{space 2} 906.2767{col 41}{space 1}   -1.04{col 50}{space 3}0.306{col 58}{space 4}-2792.311{col 71}{space 3} 904.4162
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -374.212{col 30}{space 2} 275.9787{col 41}{space 1}   -1.36{col 50}{space 3}0.185{col 58}{space 4}-937.0742{col 71}{space 3} 188.6501
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 9.094016{col 30}{space 2} 9.087004{col 41}{space 1}    1.00{col 50}{space 3}0.325{col 58}{space 4} -9.43905{col 71}{space 3} 27.62708
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.576739{col 30}{space 2} 1.703378{col 41}{space 1}   -0.93{col 50}{space 3}0.362{col 58}{space 4}-5.050801{col 71}{space 3} 1.897323
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 8.085745{col 30}{space 2} 5.575853{col 41}{space 1}    1.45{col 50}{space 3}0.157{col 58}{space 4}-3.286282{col 71}{space 3} 19.45777
{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}   7.830
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0051
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.483
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.848
{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
{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}20.848196

{txt}added scalar:
             e(mean_y) =  {res}2.953596
{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}    1.21
{txt}{col 55}Prob > F      = {res}  0.3261
{txt}Total (centered) SS     = {res} 1104.413251{txt}{col 55}Centered R2   = {res} -0.0819
{txt}Total (uncentered) SS   = {res} 1104.413251{txt}{col 55}Uncentered R2 = {res} -0.0819
{txt}Residual SS             = {res} 1194.833297{txt}{col 55}Root MSE      = {res}   1.693

{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_other_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}-.0891544{col 30}{space 2} .0663059{col 41}{space 1}   -1.34{col 50}{space 3}0.189{col 58}{space 4}-.2243861{col 71}{space 3} .0460772
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0459865{col 30}{space 2} .0231185{col 41}{space 1}    1.99{col 50}{space 3}0.056{col 58}{space 4} -.001164{col 71}{space 3}  .093137
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  .045848{col 30}{space 2} .0623204{col 41}{space 1}    0.74{col 50}{space 3}0.467{col 58}{space 4}-.0812553{col 71}{space 3} .1729512
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1046684{col 30}{space 2} .0829768{col 41}{space 1}   -1.26{col 50}{space 3}0.217{col 58}{space 4}-.2739007{col 71}{space 3} .0645639
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-436.3781{col 30}{space 2} 421.5294{col 41}{space 1}   -1.04{col 50}{space 3}0.309{col 58}{space 4}-1296.093{col 71}{space 3} 423.3369
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 235.5133{col 30}{space 2} 287.3552{col 41}{space 1}    0.82{col 50}{space 3}0.419{col 58}{space 4}-350.5514{col 71}{space 3} 821.5781
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 4.948027{col 30}{space 2} 4.317977{col 41}{space 1}    1.15{col 50}{space 3}0.261{col 58}{space 4}-3.858545{col 71}{space 3}  13.7546
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.702825{col 30}{space 2} 1.302623{col 41}{space 1}    2.07{col 50}{space 3}0.046{col 58}{space 4} .0461074{col 71}{space 3} 5.359543
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-5.604039{col 30}{space 2} 6.084359{col 41}{space 1}   -0.92{col 50}{space 3}0.364{col 58}{space 4}-18.01317{col 71}{space 3} 6.805093
{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}   8.606
{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}  15.019
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.007
{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
{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}28.006617

{txt}added scalar:
             e(mean_y) =  {res}2.1574022
{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}    0.60
{txt}{col 55}Prob > F      = {res}  0.7891
{txt}Total (centered) SS     = {res} 2267.710429{txt}{col 55}Centered R2   = {res} -0.0888
{txt}Total (uncentered) SS   = {res} 2267.710429{txt}{col 55}Uncentered R2 = {res} -0.0888
{txt}Residual SS             = {res} 2469.049299{txt}{col 55}Root MSE      = {res}   2.433

{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_other_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}-.1432946{col 30}{space 2} .1332865{col 41}{space 1}   -1.08{col 50}{space 3}0.291{col 58}{space 4}-.4151343{col 71}{space 3}  .128545
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0392003{col 30}{space 2} .0347231{col 41}{space 1}    1.13{col 50}{space 3}0.268{col 58}{space 4}-.0316179{col 71}{space 3} .1100186
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1764108{col 30}{space 2} .1220225{col 41}{space 1}    1.45{col 50}{space 3}0.158{col 58}{space 4}-.0724558{col 71}{space 3} .4252775
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1569398{col 30}{space 2} .1139712{col 41}{space 1}   -1.38{col 50}{space 3}0.178{col 58}{space 4}-.3893856{col 71}{space 3}  .075506
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1256.097{col 30}{space 2} 803.7433{col 41}{space 1}   -1.56{col 50}{space 3}0.128{col 58}{space 4}-2895.342{col 71}{space 3} 383.1482
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 279.0075{col 30}{space 2} 292.9259{col 41}{space 1}    0.95{col 50}{space 3}0.348{col 58}{space 4}-318.4187{col 71}{space 3} 876.4338
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 13.29482{col 30}{space 2} 8.343148{col 41}{space 1}    1.59{col 50}{space 3}0.121{col 58}{space 4}-3.721145{col 71}{space 3} 30.31078
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.028721{col 30}{space 2} 1.703955{col 41}{space 1}   -0.60{col 50}{space 3}0.550{col 58}{space 4}-4.503961{col 71}{space 3} 2.446518
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-5.368369{col 30}{space 2} 5.706032{col 41}{space 1}   -0.94{col 50}{space 3}0.354{col 58}{space 4} -17.0059{col 71}{space 3}  6.26916
{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}   8.652
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0033
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.062
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.507
{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
{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}20.507488

{txt}added scalar:
             e(mean_y) =  {res}1.902846
{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}    0.90
{txt}{col 55}Prob > F      = {res}  0.5346
{txt}Total (centered) SS     = {res} 2986.938159{txt}{col 55}Centered R2   = {res}  0.0625
{txt}Total (uncentered) SS   = {res} 2986.938159{txt}{col 55}Uncentered R2 = {res}  0.0625
{txt}Residual SS             = {res} 2800.335309{txt}{col 55}Root MSE      = {res}   2.591

{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_other_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} .1928922{col 30}{space 2} .2175663{col 41}{space 1}    0.89{col 50}{space 3}0.382{col 58}{space 4}-.2508373{col 71}{space 3} .6366217
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .025601{col 30}{space 2} .0612941{col 41}{space 1}    0.42{col 50}{space 3}0.679{col 58}{space 4}-.0994091{col 71}{space 3} .1506112
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0838065{col 30}{space 2} .1191438{col 41}{space 1}    0.70{col 50}{space 3}0.487{col 58}{space 4} -.159189{col 71}{space 3} .3268019
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1213938{col 30}{space 2} .1072459{col 41}{space 1}   -1.13{col 50}{space 3}0.266{col 58}{space 4}-.3401233{col 71}{space 3} .0973357
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 422.3951{col 30}{space 2} 1030.587{col 41}{space 1}    0.41{col 50}{space 3}0.685{col 58}{space 4}-1679.502{col 71}{space 3} 2524.292
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-256.8207{col 30}{space 2} 448.8752{col 41}{space 1}   -0.57{col 50}{space 3}0.571{col 58}{space 4}-1172.308{col 71}{space 3} 658.6663
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} -4.72428{col 30}{space 2} 10.66603{col 41}{space 1}   -0.44{col 50}{space 3}0.661{col 58}{space 4}-26.47779{col 71}{space 3} 17.02923
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.052742{col 30}{space 2}  2.27297{col 41}{space 1}    0.46{col 50}{space 3}0.646{col 58}{space 4}-3.583012{col 71}{space 3} 5.688495
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 4.940775{col 30}{space 2} 8.839176{col 41}{space 1}    0.56{col 50}{space 3}0.580{col 58}{space 4}-13.08684{col 71}{space 3} 22.96839
{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}   8.275
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0040
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.731
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.794
{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
{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}20.793739

{txt}added scalar:
             e(mean_y) =  {res}6.827247
{txt}
{com}. 
. foreach year in 1974{c -(}
{txt}  2{com}. 
.         reg perc_other_ins perc_b_1913_1922 if annee==`year' & sample==1, cluster(ct_1936_enc)
{txt}  3{com}.         estimates store P`year'T1_VOTE_O, title(`year'R1)
{txt}  4{com}.         qui sum perc_other_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_other_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_b_1913_1922 {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}. 
. 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}. 
. // National front
. 
. estout P1965T1_VOTE_NF P1965T1_VOTE_NF P1974T1_VOTE_NF P1995T1_VOTE_NF P2002T1_VOTE_NF P2007T1_VOTE_NF P2012T1_VOTE_NF P2017T1_VOTE_NF ///
>         using "$results\\$program.tex", replace style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y, lab("\\ Mean dep. variable") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         title(Abstention and the radical right-wing vote: Candidate classification) ///
>         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 )-}\\" ///
>         "\cmidrule(lr){c -(}2-2{c )-} \cmidrule(lr){c -(}3-3{c )-} \cmidrule(lr){c -(}4-4{c )-} \cmidrule(lr){c -(}5-5{c )-} \cmidrule(lr){c -(}6-6{c )-} \cmidrule(lr){c -(}7-7{c )-} \cmidrule(lr){c -(}8-8{c )-} \cmidrule(lr){c -(}9-9{c )-}" ///
>         "\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}National Front Candidate{c )-}{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}--{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}--{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}JMLP{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}JMLP{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}JMLP{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}JMLP{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}MLP{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}MLP{c )-}\\" ///
>         "\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Other RRW Candidate{c )-}{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}JLTV{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}--{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}--{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}PdV{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}BM{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}PdV{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}NDA{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}NDA{c )-}\\" ///
>         "%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: 2SLS Estimates. Dep. Variable: National Front 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: Candidate classification\label{c -(}EEREV-D-21-00004_TableC4{c )-}{c )-}
\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}8{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}
\hline
\hline
&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-}   &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\
       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\
\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\
\cmidrule(lr){c -(}2-2{c )-} \cmidrule(lr){c -(}3-3{c )-} \cmidrule(lr){c -(}4-4{c )-} \cmidrule(lr){c -(}5-5{c )-} \cmidrule(lr){c -(}6-6{c )-} \cmidrule(lr){c -(}7-7{c )-} \cmidrule(lr){c -(}8-8{c )-} \cmidrule(lr){c -(}9-9{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}National Front Candidate{c )-}{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}--{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}--{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}JMLP{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}JMLP{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}JMLP{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}JMLP{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}MLP{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}MLP{c )-}\\
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Other RRW Candidate{c )-}{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}JLTV{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}--{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}--{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}PdV{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}BM{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}PdV{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}NDA{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}NDA{c )-}\\
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: 2SLS Estimates. Dep. Variable: National Front vote (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&               &               &       0.012   &       1.085***&       0.543*  &       0.048   &       0.210   &       0.085   \\
                    &               &               &     (0.017)   &     (0.378)   &     (0.291)   &     (0.199)   &     (0.287)   &     (0.349)   \\

\\ Mean dep. variable&        0.00   &        0.00   &        0.31   &       22.18   &       19.30   &       14.89   &       23.24   &       27.27   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC4.tex"'})

{com}. 
. // Other candidate
. 
. estout P1965T1_VOTE_O P1965T1_VOTE_NF P1974T1_VOTE_O P1995T1_VOTE_O P2002T1_VOTE_O P2007T1_VOTE_O P2012T1_VOTE_O P2017T1_VOTE_O ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///       
>         stats(mean_y, lab("\\ Mean dep. variable") fmt(2)) ///  
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: 2SLS Estimates. Dep. Variable: Other 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 B: 2SLS Estimates. Dep. Variable: Other RRW vote (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&     --0.068   &               &               &     --0.076   &       0.194*  &     --0.089   &     --0.143   &       0.193   \\
                    &     (0.125)   &               &               &     (0.115)   &     (0.103)   &     (0.066)   &     (0.133)   &     (0.218)   \\

\\ Mean dep. variable&        1.21   &        0.00   &        0.00   &        3.85   &        2.95   &        2.16   &        1.90   &        6.83   \\

{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC4.tex"'})

{com}. 
. // Closure
. 
. estout P1965T1_VOTE_O P1965T1_VOTE_NF P1974T1_VOTE_NF P1995T1_VOTE_NF P2002T1_VOTE_NF P2007T1_VOTE_NF P2012T1_VOTE_NF P2017T1_VOTE_NF ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(F_fs N N_clust, lab("First-stage F-statistic" "Observations" "Clusters") fmt(2 0 0)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         drop(*) ///     
>         indicate( ///   
>         "Border segment FE = 0.borderfe25" ///
>         "Historical dialect FE = 0.dialect_lux" ///
>         "Full set of controls = perc_b_1903_1912" ///
>         , labels(Yes )) ///
>         prehead("\\ Lat-lon polynomial & 2nd &  & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ ") ///
>         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 National Front, and other radical right-wing candidates separately. " ///
>         "The unit of observation is a municipality. " ///
>         "Standard errors clustered at the canton level in parentheses. " ///
>         "Panel A: 2SLS estimates for Jean-Marie Le Pen (1974, 1995-2007) and Marine Le Pen (2012, 2017); " ///
>         "Panel B: 2SLS estimates for Jean-Louis Tixier-Vignancour (1965), Philippe de Villiers (1995, 2007), Bruno M\'egret (2002), and Nicolas Dupont-Aignan (2012, 2017). " ///
>         "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 \\ 

Border segment FE   &         Yes   &               &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Historical dialect FE &         Yes   &               &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Full set of controls &         Yes   &               &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
\hline
First-stage F-statistic&       20.04   &               &       22.63   &       23.52   &       20.85   &       28.01   &       20.51   &       20.79   \\
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 National Front, and other radical right-wing candidates separately. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panel A: 2SLS estimates for Jean-Marie Le Pen (1974, 1995-2007) and Marine Le Pen (2012, 2017); 
Panel B: 2SLS estimates for Jean-Louis Tixier-Vignancour (1965), Philippe de Villiers (1995, 2007), Bruno M\'egret (2002), and Nicolas Dupont-Aignan (2012, 2017). 
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_TableC4.tex"'})

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