{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE 5 ****
. 
. 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}. 
. // Rdd
. 
. global rdd2                             "rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon"
{txt}
{com}. 
. // First stage
. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}. 
.         ivreghdfe perc_i_full perc_e_1908_1927 ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect pop_jew water) partial($sigma $w)
{txt}  3{com}. 
.         estimates store P`year'T1_FS, title(`year'R1)
{txt}  4{com}.         sum perc_i_full  if annee==`year' & sample==1 //
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         test perc_e_1908_1927
{txt}  8{com}.         estadd scalar F_fs=r(F)
{txt}  9{com}.         
. {c )-}
{res}{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}   10.21
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5921.765849{txt}{col 55}Centered R2   = {res}  0.0595
{txt}Total (uncentered) SS   = {res} 5921.765849{txt}{col 55}Uncentered R2 = {res}  0.0595
{txt}Residual SS             = {res} 5569.532457{txt}{col 55}Root MSE      = {res}   3.659

{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_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .2402204{col 30}{space 2} .0537875{col 41}{space 1}    4.47{col 50}{space 3}0.000{col 58}{space 4} .1305202{col 71}{space 3} .3499207
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0067285{col 30}{space 2}  .055808{col 41}{space 1}   -0.12{col 50}{space 3}0.905{col 58}{space 4}-.1205497{col 71}{space 3} .1070927
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.125911{col 30}{space 2}  .159967{col 41}{space 1}   -0.79{col 50}{space 3}0.437{col 58}{space 4}-.4521658{col 71}{space 3} .2003439
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0991447{col 30}{space 2} .1352625{col 41}{space 1}   -0.73{col 50}{space 3}0.469{col 58}{space 4}-.3750144{col 71}{space 3} .1767249
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-856.8427{col 30}{space 2} 1040.226{col 41}{space 1}   -0.82{col 50}{space 3}0.416{col 58}{space 4}-2978.398{col 71}{space 3} 1264.712
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 330.7684{col 30}{space 2} 536.4727{col 41}{space 1}    0.62{col 50}{space 3}0.542{col 58}{space 4} -763.375{col 71}{space 3} 1424.912
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 9.261741{col 30}{space 2} 10.26221{col 41}{space 1}    0.90{col 50}{space 3}0.374{col 58}{space 4}-11.66817{col 71}{space 3} 30.19165
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} -2.13023{col 30}{space 2} 4.630607{col 41}{space 1}   -0.46{col 50}{space 3}0.649{col 58}{space 4}-11.57442{col 71}{space 3} 7.313955
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-6.032844{col 30}{space 2}  10.7801{col 41}{space 1}   -0.56{col 50}{space 3}0.580{col 58}{space 4}-28.01901{col 71}{space 3} 15.95332
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{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}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1927 = 0{p_end}

{txt}       F(  1,    31) ={res}   19.95
{txt}{col 13}Prob > F ={res}    0.0001

{txt}added scalar:
               e(F_fs) =  {res}19.946086
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}   11.88
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res}  5983.15096{txt}{col 55}Centered R2   = {res}  0.0659
{txt}Total (uncentered) SS   = {res}  5983.15096{txt}{col 55}Uncentered R2 = {res}  0.0659
{txt}Residual SS             = {res} 5588.879792{txt}{col 55}Root MSE      = {res}   3.665

{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_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}  .251924{col 30}{space 2} .0548493{col 41}{space 1}    4.59{col 50}{space 3}0.000{col 58}{space 4} .1400581{col 71}{space 3} .3637899
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0089573{col 30}{space 2} .0554959{col 41}{space 1}   -0.16{col 50}{space 3}0.873{col 58}{space 4}-.1221419{col 71}{space 3} .1042274
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1344893{col 30}{space 2} .1619864{col 41}{space 1}   -0.83{col 50}{space 3}0.413{col 58}{space 4}-.4648626{col 71}{space 3} .1958841
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1028153{col 30}{space 2} .1378505{col 41}{space 1}   -0.75{col 50}{space 3}0.461{col 58}{space 4}-.3839633{col 71}{space 3} .1783326
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-723.6163{col 30}{space 2} 1043.822{col 41}{space 1}   -0.69{col 50}{space 3}0.493{col 58}{space 4}-2852.505{col 71}{space 3} 1405.272
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 406.6349{col 30}{space 2} 561.8541{col 41}{space 1}    0.72{col 50}{space 3}0.475{col 58}{space 4} -739.274{col 71}{space 3} 1552.544
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 8.007848{col 30}{space 2} 10.28829{col 41}{space 1}    0.78{col 50}{space 3}0.442{col 58}{space 4}-12.97527{col 71}{space 3} 28.99096
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-2.108587{col 30}{space 2} 4.765733{col 41}{space 1}   -0.44{col 50}{space 3}0.661{col 58}{space 4}-11.82836{col 71}{space 3}  7.61119
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-7.581954{col 30}{space 2} 11.24136{col 41}{space 1}   -0.67{col 50}{space 3}0.505{col 58}{space 4}-30.50887{col 71}{space 3} 15.34496
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{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}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1927 = 0{p_end}

{txt}       F(  1,    31) ={res}   21.10
{txt}{col 13}Prob > F ={res}    0.0001

{txt}added scalar:
               e(F_fs) =  {res}21.095825
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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}   13.34
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5837.681738{txt}{col 55}Centered R2   = {res}  0.0675
{txt}Total (uncentered) SS   = {res} 5837.681738{txt}{col 55}Uncentered R2 = {res}  0.0675
{txt}Residual SS             = {res} 5443.349305{txt}{col 55}Root MSE      = {res}   3.617

{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_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .2529149{col 30}{space 2} .0532981{col 41}{space 1}    4.75{col 50}{space 3}0.000{col 58}{space 4} .1442127{col 71}{space 3} .3616171
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0182216{col 30}{space 2} .0558834{col 41}{space 1}   -0.33{col 50}{space 3}0.747{col 58}{space 4}-.1321966{col 71}{space 3} .0957534
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1232259{col 30}{space 2} .1460922{col 41}{space 1}   -0.84{col 50}{space 3}0.405{col 58}{space 4} -.421183{col 71}{space 3} .1747312
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1324588{col 30}{space 2} .1240945{col 41}{space 1}   -1.07{col 50}{space 3}0.294{col 58}{space 4}-.3855513{col 71}{space 3} .1206337
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-454.8134{col 30}{space 2} 781.4013{col 41}{space 1}   -0.58{col 50}{space 3}0.565{col 58}{space 4}-2048.492{col 71}{space 3} 1138.865
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 397.0206{col 30}{space 2} 539.3186{col 41}{space 1}    0.74{col 50}{space 3}0.467{col 58}{space 4} -702.927{col 71}{space 3} 1496.968
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 5.258194{col 30}{space 2} 7.624834{col 41}{space 1}    0.69{col 50}{space 3}0.496{col 58}{space 4}-10.29276{col 71}{space 3} 20.80915
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.147896{col 30}{space 2}  4.47165{col 41}{space 1}   -0.26{col 50}{space 3}0.799{col 58}{space 4}-10.26789{col 71}{space 3} 7.972094
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-7.675823{col 30}{space 2} 10.80083{col 41}{space 1}   -0.71{col 50}{space 3}0.483{col 58}{space 4}-29.70427{col 71}{space 3} 14.35262
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{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}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1927 = 0{p_end}

{txt}       F(  1,    31) ={res}   22.52
{txt}{col 13}Prob > F ={res}    0.0000

{txt}added scalar:
               e(F_fs) =  {res}22.517782
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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}   13.58
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5681.141137{txt}{col 55}Centered R2   = {res}  0.0585
{txt}Total (uncentered) SS   = {res} 5681.141137{txt}{col 55}Uncentered R2 = {res}  0.0585
{txt}Residual SS             = {res} 5348.898452{txt}{col 55}Root MSE      = {res}    3.59

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     perc_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}  .247252{col 30}{space 2} .0511048{col 41}{space 1}    4.84{col 50}{space 3}0.000{col 58}{space 4} .1430231{col 71}{space 3} .3514809
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0068254{col 30}{space 2} .0567804{col 41}{space 1}   -0.12{col 50}{space 3}0.905{col 58}{space 4}-.1226298{col 71}{space 3}  .108979
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1860685{col 30}{space 2}  .156365{col 41}{space 1}   -1.19{col 50}{space 3}0.243{col 58}{space 4} -.504977{col 71}{space 3}   .13284
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1374802{col 30}{space 2} .1066298{col 41}{space 1}   -1.29{col 50}{space 3}0.207{col 58}{space 4}-.3549531{col 71}{space 3} .0799927
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-149.8791{col 30}{space 2} 995.4655{col 41}{space 1}   -0.15{col 50}{space 3}0.881{col 58}{space 4}-2180.144{col 71}{space 3} 1880.386
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 512.3147{col 30}{space 2} 542.0617{col 41}{space 1}    0.95{col 50}{space 3}0.352{col 58}{space 4}-593.2274{col 71}{space 3} 1617.857
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 2.302185{col 30}{space 2} 9.854926{col 41}{space 1}    0.23{col 50}{space 3}0.817{col 58}{space 4}-17.79707{col 71}{space 3} 22.40144
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} -.896275{col 30}{space 2} 4.789714{col 41}{space 1}   -0.19{col 50}{space 3}0.853{col 58}{space 4}-10.66496{col 71}{space 3}  8.87241
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-10.13296{col 30}{space 2} 10.85724{col 41}{space 1}   -0.93{col 50}{space 3}0.358{col 58}{space 4}-32.27645{col 71}{space 3} 12.01053
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{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}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1927 = 0{p_end}

{txt}       F(  1,    31) ={res}   23.41
{txt}{col 13}Prob > F ={res}    0.0000

{txt}added scalar:
               e(F_fs) =  {res}23.407566
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}   11.46
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5647.826323{txt}{col 55}Centered R2   = {res}  0.0611
{txt}Total (uncentered) SS   = {res} 5647.826323{txt}{col 55}Uncentered R2 = {res}  0.0611
{txt}Residual SS             = {res} 5303.022839{txt}{col 55}Root MSE      = {res}   3.575

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     perc_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .2332897{col 30}{space 2}  .051216{col 41}{space 1}    4.56{col 50}{space 3}0.000{col 58}{space 4} .1288341{col 71}{space 3} .3377453
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0225677{col 30}{space 2}  .054618{col 41}{space 1}   -0.41{col 50}{space 3}0.682{col 58}{space 4}-.1339618{col 71}{space 3} .0888263
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1450449{col 30}{space 2} .1524158{col 41}{space 1}   -0.95{col 50}{space 3}0.349{col 58}{space 4}-.4558989{col 71}{space 3} .1658091
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0912457{col 30}{space 2} .1147565{col 41}{space 1}   -0.80{col 50}{space 3}0.433{col 58}{space 4}-.3252931{col 71}{space 3} .1428017
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-165.4597{col 30}{space 2} 1054.555{col 41}{space 1}   -0.16{col 50}{space 3}0.876{col 58}{space 4} -2316.24{col 71}{space 3}  1985.32
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 701.0086{col 30}{space 2}  539.229{col 41}{space 1}    1.30{col 50}{space 3}0.203{col 58}{space 4}-398.7562{col 71}{space 3} 1800.773
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 2.749777{col 30}{space 2} 10.34994{col 41}{space 1}    0.27{col 50}{space 3}0.792{col 58}{space 4}-18.35907{col 71}{space 3} 23.85862
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.5320056{col 30}{space 2} 4.580941{col 41}{space 1}   -0.12{col 50}{space 3}0.908{col 58}{space 4}-9.874896{col 71}{space 3} 8.810885
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-14.09719{col 30}{space 2}  10.8071{col 41}{space 1}   -1.30{col 50}{space 3}0.202{col 58}{space 4}-36.13841{col 71}{space 3} 7.944042
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{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}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1927 = 0{p_end}

{txt}       F(  1,    31) ={res}   20.75
{txt}{col 13}Prob > F ={res}    0.0001

{txt}added scalar:
               e(F_fs) =  {res}20.748205
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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}   19.15
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5992.787438{txt}{col 55}Centered R2   = {res}  0.0670
{txt}Total (uncentered) SS   = {res} 5992.787438{txt}{col 55}Uncentered R2 = {res}  0.0670
{txt}Residual SS             = {res} 5591.205298{txt}{col 55}Root MSE      = {res}   3.671

{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_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .2470884{col 30}{space 2} .0468022{col 41}{space 1}    5.28{col 50}{space 3}0.000{col 58}{space 4} .1516347{col 71}{space 3}  .342542
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0100294{col 30}{space 2} .0538102{col 41}{space 1}   -0.19{col 50}{space 3}0.853{col 58}{space 4}-.1197761{col 71}{space 3} .0997173
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1430654{col 30}{space 2} .1465751{col 41}{space 1}   -0.98{col 50}{space 3}0.337{col 58}{space 4}-.4420073{col 71}{space 3} .1558765
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1184589{col 30}{space 2} .1156678{col 41}{space 1}   -1.02{col 50}{space 3}0.314{col 58}{space 4}-.3543651{col 71}{space 3} .1174472
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-445.4741{col 30}{space 2} 1079.815{col 41}{space 1}   -0.41{col 50}{space 3}0.683{col 58}{space 4}-2647.771{col 71}{space 3} 1756.823
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}  688.792{col 30}{space 2}  541.526{col 41}{space 1}    1.27{col 50}{space 3}0.213{col 58}{space 4}-415.6576{col 71}{space 3} 1793.242
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 5.612593{col 30}{space 2} 10.56952{col 41}{space 1}    0.53{col 50}{space 3}0.599{col 58}{space 4}-15.94408{col 71}{space 3} 27.16927
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.541134{col 30}{space 2} 4.266078{col 41}{space 1}   -0.36{col 50}{space 3}0.720{col 58}{space 4}-10.24186{col 71}{space 3} 7.159589
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-13.54151{col 30}{space 2} 10.88226{col 41}{space 1}   -1.24{col 50}{space 3}0.223{col 58}{space 4}-35.73602{col 71}{space 3} 8.653009
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{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}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1927 = 0{p_end}

{txt}       F(  1,    31) ={res}   27.87
{txt}{col 13}Prob > F ={res}    0.0000

{txt}added scalar:
               e(F_fs) =  {res}27.872293
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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}   20.64
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5901.581999{txt}{col 55}Centered R2   = {res}  0.0722
{txt}Total (uncentered) SS   = {res} 5901.581999{txt}{col 55}Uncentered R2 = {res}  0.0722
{txt}Residual SS             = {res} 5475.716444{txt}{col 55}Root MSE      = {res}   3.632

{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_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .2509143{col 30}{space 2} .0555409{col 41}{space 1}    4.52{col 50}{space 3}0.000{col 58}{space 4} .1376378{col 71}{space 3} .3641907
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0024514{col 30}{space 2} .0531313{col 41}{space 1}   -0.05{col 50}{space 3}0.963{col 58}{space 4}-.1108133{col 71}{space 3} .1059106
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1689808{col 30}{space 2} .1583461{col 41}{space 1}   -1.07{col 50}{space 3}0.294{col 58}{space 4}-.4919299{col 71}{space 3} .1539683
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0838708{col 30}{space 2} .1205899{col 41}{space 1}   -0.70{col 50}{space 3}0.492{col 58}{space 4}-.3298155{col 71}{space 3} .1620738
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-548.0309{col 30}{space 2}     1078{col 41}{space 1}   -0.51{col 50}{space 3}0.615{col 58}{space 4}-2746.625{col 71}{space 3} 1650.564
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 696.7862{col 30}{space 2}  625.988{col 41}{space 1}    1.11{col 50}{space 3}0.274{col 58}{space 4}-579.9248{col 71}{space 3} 1973.497
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 6.611095{col 30}{space 2} 10.43347{col 41}{space 1}    0.63{col 50}{space 3}0.531{col 58}{space 4} -14.6681{col 71}{space 3} 27.89029
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-4.219404{col 30}{space 2} 4.899541{col 41}{space 1}   -0.86{col 50}{space 3}0.396{col 58}{space 4}-14.21208{col 71}{space 3} 5.773275
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-12.88796{col 30}{space 2} 12.66148{col 41}{space 1}   -1.02{col 50}{space 3}0.317{col 58}{space 4} -38.7112{col 71}{space 3} 12.93529
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{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}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1927 = 0{p_end}

{txt}       F(  1,    31) ={res}   20.41
{txt}{col 13}Prob > F ={res}    0.0001

{txt}added scalar:
               e(F_fs) =  {res}20.409131
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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}   17.31
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5912.123622{txt}{col 55}Centered R2   = {res}  0.0732
{txt}Total (uncentered) SS   = {res} 5912.123622{txt}{col 55}Uncentered R2 = {res}  0.0732
{txt}Residual SS             = {res} 5479.649397{txt}{col 55}Root MSE      = {res}   3.634

{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_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .2471565{col 30}{space 2} .0543313{col 41}{space 1}    4.55{col 50}{space 3}0.000{col 58}{space 4} .1363472{col 71}{space 3} .3579659
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0148475{col 30}{space 2} .0583213{col 41}{space 1}    0.25{col 50}{space 3}0.801{col 58}{space 4}-.1040995{col 71}{space 3} .1337945
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.167703{col 30}{space 2}  .169146{col 41}{space 1}   -0.99{col 50}{space 3}0.329{col 58}{space 4}-.5126786{col 71}{space 3} .1772726
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.090667{col 30}{space 2} .1134175{col 41}{space 1}   -0.80{col 50}{space 3}0.430{col 58}{space 4}-.3219834{col 71}{space 3} .1406494
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-805.9965{col 30}{space 2} 1112.961{col 41}{space 1}   -0.72{col 50}{space 3}0.474{col 58}{space 4}-3075.896{col 71}{space 3} 1463.903
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}  685.798{col 30}{space 2} 598.7213{col 41}{space 1}    1.15{col 50}{space 3}0.261{col 58}{space 4} -535.302{col 71}{space 3} 1906.898
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 9.251178{col 30}{space 2} 10.87787{col 41}{space 1}    0.85{col 50}{space 3}0.402{col 58}{space 4}-12.93438{col 71}{space 3} 31.43674
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-3.775864{col 30}{space 2} 4.516771{col 41}{space 1}   -0.84{col 50}{space 3}0.410{col 58}{space 4}-12.98788{col 71}{space 3} 5.436151
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-12.78747{col 30}{space 2} 12.03385{col 41}{space 1}   -1.06{col 50}{space 3}0.296{col 58}{space 4}-37.33068{col 71}{space 3} 11.75573
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{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}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1927 = 0{p_end}

{txt}       F(  1,    31) ={res}   20.69
{txt}{col 13}Prob > F ={res}    0.0001

{txt}added scalar:
               e(F_fs) =  {res}20.694009
{txt}
{com}. 
. // 1965-1969 FOR TABLE
. 
. foreach year in 1969{c -(}
{txt}  2{com}. 
.         reg perc_voixexd_ins borderfe if annee==`year' & sample==1, cluster(ct_1936_enc)
{txt}  3{com}.         estimates store P`year'T1_VOTE, title(`year'R1)
{txt}  4{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         
. {c )-}

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

{txt}{ralign 78:(Std. err. adjusted for {res:32} clusters in ct_1936_enc)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}perc_voixe~s{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}borderfe25 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}added scalar:
             e(mean_y) =  {res}0
{txt}
{com}. 
. // Radical-Right
. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_voixexd_ins (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  3{com}. 
.         estimates store P`year'T1_VOTE
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.17
{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_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}20.041981

{txt}added scalar:
             e(mean_y) =  {res}1.2057242
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.03
{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_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}22.62604

{txt}added scalar:
             e(mean_y) =  {res}.3129585
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.29
{txt}{col 55}Prob > F      = {res}  0.0419
{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_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}  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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}23.520374

{txt}added scalar:
             e(mean_y) =  {res}22.177668
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.38
{txt}{col 55}Prob > F      = {res}  0.0352
{txt}Total (centered) SS     = {res} 7921.764391{txt}{col 55}Centered R2   = {res} -0.2534
{txt}Total (uncentered) SS   = {res} 7921.764391{txt}{col 55}Uncentered R2 = {res} -0.2534
{txt}Residual SS             = {res} 9929.099136{txt}{col 55}Root MSE      = {res}    4.88

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .7363975{col 30}{space 2} .3215048{col 41}{space 1}    2.29{col 50}{space 3}0.029{col 58}{space 4} .0806841{col 71}{space 3} 1.392111
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0218984{col 30}{space 2} .0844992{col 41}{space 1}    0.26{col 50}{space 3}0.797{col 58}{space 4}-.1504388{col 71}{space 3} .1942356
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0481492{col 30}{space 2} .1455147{col 41}{space 1}    0.33{col 50}{space 3}0.743{col 58}{space 4}-.2486299{col 71}{space 3} .3449284
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0952167{col 30}{space 2} .1158007{col 41}{space 1}   -0.82{col 50}{space 3}0.417{col 58}{space 4}-.3313939{col 71}{space 3} .1409604
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1488.139{col 30}{space 2} 1750.787{col 41}{space 1}   -0.85{col 50}{space 3}0.402{col 58}{space 4}-5058.892{col 71}{space 3} 2082.615
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1501.404{col 30}{space 2} 932.5555{col 41}{space 1}   -1.61{col 50}{space 3}0.118{col 58}{space 4}-3403.364{col 71}{space 3} 400.5554
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 13.02875{col 30}{space 2} 17.59221{col 41}{space 1}    0.74{col 50}{space 3}0.465{col 58}{space 4}-22.85079{col 71}{space 3}  48.9083
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 5.434204{col 30}{space 2} 6.669198{col 41}{space 1}    0.81{col 50}{space 3}0.421{col 58}{space 4}-8.167714{col 71}{space 3} 19.03612
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 28.86921{col 30}{space 2} 18.66996{col 41}{space 1}    1.55{col 50}{space 3}0.132{col 58}{space 4}-9.208435{col 71}{space 3} 66.94685
{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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}20.848196

{txt}added scalar:
             e(mean_y) =  {res}22.249573
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.41
{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_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.006617

{txt}added scalar:
             e(mean_y) =  {res}14.88564
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.18
{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_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}20.507488

{txt}added scalar:
             e(mean_y) =  {res}23.237011
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.08
{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_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}20.793739

{txt}added scalar:
             e(mean_y) =  {res}27.274936
{txt}
{com}. 
. // Abstention
. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         tab annee if annee==`year'
{txt}  3{com}.         
.         ivreghdfe perc_bna_ins (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  4{com}. 
.         estimates store P`year'T1_ABST, title(`year'R1)
{txt}  5{com}.         scalar f = e(rkf)
{txt}  6{com}.         estadd scalar F_fs=f
{txt}  7{com}.         qui sum perc_bna_ins if e(sample)
{txt}  8{com}.         scalar mean_y=r(mean)
{txt}  9{com}.         estadd scalar mean_y
{txt} 10{com}.         
. {c )-}

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1965 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    6.58
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 11796.59426{txt}{col 55}Centered R2   = {res} -0.2379
{txt}Total (uncentered) SS   = {res} 11796.59426{txt}{col 55}Uncentered R2 = {res} -0.2379
{txt}Residual SS             = {res}  14603.0986{txt}{col 55}Root MSE      = {res}   5.911

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} 1.032764{col 30}{space 2} .4116689{col 41}{space 1}    2.51{col 50}{space 3}0.018{col 58}{space 4} .1931598{col 71}{space 3} 1.872368
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1860846{col 30}{space 2} .0865492{col 41}{space 1}   -2.15{col 50}{space 3}0.039{col 58}{space 4}-.3626028{col 71}{space 3}-.0095664
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0679872{col 30}{space 2} .1879757{col 41}{space 1}    0.36{col 50}{space 3}0.720{col 58}{space 4}-.3153917{col 71}{space 3} .4513661
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.493797{col 30}{space 2} .1502616{col 41}{space 1}   -3.29{col 50}{space 3}0.003{col 58}{space 4}-.8002575{col 71}{space 3}-.1873365
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1051.436{col 30}{space 2} 3136.841{col 41}{space 1}    0.34{col 50}{space 3}0.740{col 58}{space 4}-5346.193{col 71}{space 3} 7449.065
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}  790.401{col 30}{space 2} 1151.433{col 41}{space 1}    0.69{col 50}{space 3}0.498{col 58}{space 4}-1557.963{col 71}{space 3} 3138.765
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-9.567862{col 30}{space 2} 31.36546{col 41}{space 1}   -0.31{col 50}{space 3}0.762{col 58}{space 4}-73.53813{col 71}{space 3} 54.40241
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.6455722{col 30}{space 2} 7.680072{col 41}{space 1}   -0.08{col 50}{space 3}0.934{col 58}{space 4}-16.30918{col 71}{space 3} 15.01804
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-16.15432{col 30}{space 2} 22.92292{col 41}{space 1}   -0.70{col 50}{space 3}0.486{col 58}{space 4}-62.90592{col 71}{space 3} 30.59729
{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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}20.041981

{txt}added scalar:
             e(mean_y) =  {res}15.28727

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1969 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.20
{txt}{col 55}Prob > F      = {res}  0.0501
{txt}Total (centered) SS     = {res} 18676.55415{txt}{col 55}Centered R2   = {res} -0.4180
{txt}Total (uncentered) SS   = {res} 18676.55415{txt}{col 55}Uncentered R2 = {res} -0.4180
{txt}Residual SS             = {res} 26482.66408{txt}{col 55}Root MSE      = {res}    7.96

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} 1.472255{col 30}{space 2} .6238746{col 41}{space 1}    2.36{col 50}{space 3}0.025{col 58}{space 4} .1998546{col 71}{space 3} 2.744656
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1362756{col 30}{space 2}  .126739{col 41}{space 1}   -1.08{col 50}{space 3}0.291{col 58}{space 4}-.3947614{col 71}{space 3} .1222103
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0308347{col 30}{space 2} .2213202{col 41}{space 1}    0.14{col 50}{space 3}0.890{col 58}{space 4}-.4205507{col 71}{space 3} .4822201
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.5012293{col 30}{space 2} .1924653{col 41}{space 1}   -2.60{col 50}{space 3}0.014{col 58}{space 4}-.8937648{col 71}{space 3}-.1086938
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 2071.316{col 30}{space 2} 3365.762{col 41}{space 1}    0.62{col 50}{space 3}0.543{col 58}{space 4}-4793.202{col 71}{space 3} 8935.833
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 46.67127{col 30}{space 2} 1345.251{col 41}{space 1}    0.03{col 50}{space 3}0.973{col 58}{space 4}-2696.987{col 71}{space 3} 2790.329
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-21.18372{col 30}{space 2} 34.45296{col 41}{space 1}   -0.61{col 50}{space 3}0.543{col 58}{space 4}  -91.451{col 71}{space 3} 49.08355
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.761836{col 30}{space 2} 9.451939{col 41}{space 1}   -0.61{col 50}{space 3}0.547{col 58}{space 4}-25.03919{col 71}{space 3} 13.51552
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} .3692986{col 30}{space 2} 26.32891{col 41}{space 1}    0.01{col 50}{space 3}0.989{col 58}{space 4}-53.32888{col 71}{space 3} 54.06747
{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}   7.504
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0062
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.665
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.197
{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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}21.197247

{txt}added scalar:
             e(mean_y) =  {res}23.6278

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1974 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.26
{txt}{col 55}Prob > F      = {res}  0.0441
{txt}Total (centered) SS     = {res} 8937.800927{txt}{col 55}Centered R2   = {res} -0.1716
{txt}Total (uncentered) SS   = {res} 8937.800927{txt}{col 55}Uncentered R2 = {res} -0.1716
{txt}Residual SS             = {res} 10471.57951{txt}{col 55}Root MSE      = {res}   5.005

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .7945335{col 30}{space 2} .3300019{col 41}{space 1}    2.41{col 50}{space 3}0.022{col 58}{space 4} .1214902{col 71}{space 3} 1.467577
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0388031{col 30}{space 2} .0901413{col 41}{space 1}   -0.43{col 50}{space 3}0.670{col 58}{space 4}-.2226475{col 71}{space 3} .1450413
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0973315{col 30}{space 2} .1513392{col 41}{space 1}   -0.64{col 50}{space 3}0.525{col 58}{space 4}-.4059898{col 71}{space 3} .2113267
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1053783{col 30}{space 2} .1405188{col 41}{space 1}   -0.75{col 50}{space 3}0.459{col 58}{space 4}-.3919682{col 71}{space 3} .1812116
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 38.76111{col 30}{space 2} 1432.389{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-2882.615{col 71}{space 3} 2960.138
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -1381.54{col 30}{space 2} 567.8516{col 41}{space 1}   -2.43{col 50}{space 3}0.021{col 58}{space 4}-2539.681{col 71}{space 3}-223.3988
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-2.522275{col 30}{space 2} 14.57767{col 41}{space 1}   -0.17{col 50}{space 3}0.864{col 58}{space 4}-32.25363{col 71}{space 3} 27.20908
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-4.932727{col 30}{space 2} 4.108632{col 41}{space 1}   -1.20{col 50}{space 3}0.239{col 58}{space 4}-13.31234{col 71}{space 3} 3.446883
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 29.58188{col 30}{space 2} 11.16613{col 41}{space 1}    2.65{col 50}{space 3}0.013{col 58}{space 4} 6.808409{col 71}{space 3} 52.35534
{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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}22.62604

{txt}added scalar:
             e(mean_y) =  {res}17.065947

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1995 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.17
{txt}{col 55}Prob > F      = {res}  0.3500
{txt}Total (centered) SS     = {res} 6008.066893{txt}{col 55}Centered R2   = {res} -0.0178
{txt}Total (uncentered) SS   = {res} 6008.066893{txt}{col 55}Uncentered R2 = {res} -0.0178
{txt}Residual SS             = {res} 6114.752494{txt}{col 55}Root MSE      = {res}   3.829

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.1465881{col 30}{space 2} .2137623{col 41}{space 1}   -0.69{col 50}{space 3}0.498{col 58}{space 4}-.5825591{col 71}{space 3} .2893829
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0722872{col 30}{space 2} .0618788{col 41}{space 1}    1.17{col 50}{space 3}0.252{col 58}{space 4}-.0539153{col 71}{space 3} .1984898
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0063964{col 30}{space 2} .1117433{col 41}{space 1}    0.06{col 50}{space 3}0.955{col 58}{space 4}-.2215055{col 71}{space 3} .2342983
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1005053{col 30}{space 2} .0671807{col 41}{space 1}   -1.50{col 50}{space 3}0.145{col 58}{space 4}-.2375213{col 71}{space 3} .0365107
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2428.312{col 30}{space 2}  2115.11{col 41}{space 1}   -1.15{col 50}{space 3}0.260{col 58}{space 4}-6742.108{col 71}{space 3} 1885.484
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-220.2263{col 30}{space 2} 622.2426{col 41}{space 1}   -0.35{col 50}{space 3}0.726{col 58}{space 4}-1489.298{col 71}{space 3} 1048.846
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 24.64911{col 30}{space 2} 21.20309{col 41}{space 1}    1.16{col 50}{space 3}0.254{col 58}{space 4}-18.59488{col 71}{space 3} 67.89311
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.100713{col 30}{space 2} 3.846695{col 41}{space 1}    0.55{col 50}{space 3}0.589{col 58}{space 4}-5.744672{col 71}{space 3} 9.946098
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 3.959632{col 30}{space 2} 12.62474{col 41}{space 1}    0.31{col 50}{space 3}0.756{col 58}{space 4}-21.78869{col 71}{space 3} 29.70796
{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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}23.520374

{txt}added scalar:
             e(mean_y) =  {res}19.787649

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2002 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.78
{txt}{col 55}Prob > F      = {res}  0.0165
{txt}Total (centered) SS     = {res} 8951.441339{txt}{col 55}Centered R2   = {res} -0.4041
{txt}Total (uncentered) SS   = {res} 8951.441339{txt}{col 55}Uncentered R2 = {res} -0.4041
{txt}Residual SS             = {res}  12569.0582{txt}{col 55}Root MSE      = {res}    5.49

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.7605841{col 30}{space 2} .2960375{col 41}{space 1}   -2.57{col 50}{space 3}0.015{col 58}{space 4}-1.364356{col 71}{space 3}-.1568117
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0366388{col 30}{space 2} .1159137{col 41}{space 1}    0.32{col 50}{space 3}0.754{col 58}{space 4}-.1997686{col 71}{space 3} .2730463
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0167762{col 30}{space 2} .1273352{col 41}{space 1}    0.13{col 50}{space 3}0.896{col 58}{space 4}-.2429257{col 71}{space 3} .2764781
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0431412{col 30}{space 2} .1453747{col 41}{space 1}    0.30{col 50}{space 3}0.769{col 58}{space 4}-.2533524{col 71}{space 3} .3396347
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-760.1038{col 30}{space 2}  2011.58{col 41}{space 1}   -0.38{col 50}{space 3}0.708{col 58}{space 4}-4862.749{col 71}{space 3} 3342.541
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-883.5796{col 30}{space 2} 916.7173{col 41}{space 1}   -0.96{col 50}{space 3}0.343{col 58}{space 4}-2753.237{col 71}{space 3} 986.0776
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 6.508824{col 30}{space 2}  20.3621{col 41}{space 1}    0.32{col 50}{space 3}0.751{col 58}{space 4}-35.01995{col 71}{space 3}  48.0376
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.753112{col 30}{space 2} 5.902124{col 41}{space 1}   -0.30{col 50}{space 3}0.768{col 58}{space 4}-13.79057{col 71}{space 3} 10.28435
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 18.69261{col 30}{space 2} 18.37827{col 41}{space 1}    1.02{col 50}{space 3}0.317{col 58}{space 4} -18.7901{col 71}{space 3} 56.17533
{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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}20.848196

{txt}added scalar:
             e(mean_y) =  {res}28.387391

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2007 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.63
{txt}{col 55}Prob > F      = {res}  0.1511
{txt}Total (centered) SS     = {res} 4170.341767{txt}{col 55}Centered R2   = {res} -0.2237
{txt}Total (uncentered) SS   = {res} 4170.341767{txt}{col 55}Uncentered R2 = {res} -0.2237
{txt}Residual SS             = {res} 5103.087165{txt}{col 55}Root MSE      = {res}   3.498

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .4087922{col 30}{space 2} .1903384{col 41}{space 1}    2.15{col 50}{space 3}0.040{col 58}{space 4} .0205945{col 71}{space 3} .7969898
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0022139{col 30}{space 2} .0605932{col 41}{space 1}   -0.04{col 50}{space 3}0.971{col 58}{space 4}-.1257946{col 71}{space 3} .1213668
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0421869{col 30}{space 2} .1000008{col 41}{space 1}   -0.42{col 50}{space 3}0.676{col 58}{space 4}-.2461398{col 71}{space 3}  .161766
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.044572{col 30}{space 2} .0869241{col 41}{space 1}   -0.51{col 50}{space 3}0.612{col 58}{space 4} -.221855{col 71}{space 3} .1327109
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-776.4439{col 30}{space 2} 1455.082{col 41}{space 1}   -0.53{col 50}{space 3}0.597{col 58}{space 4}-3744.104{col 71}{space 3} 2191.216
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-973.8054{col 30}{space 2} 559.0769{col 41}{space 1}   -1.74{col 50}{space 3}0.091{col 58}{space 4} -2114.05{col 71}{space 3} 166.4395
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 6.699159{col 30}{space 2} 14.72153{col 41}{space 1}    0.46{col 50}{space 3}0.652{col 58}{space 4}-23.32559{col 71}{space 3} 36.72391
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 8.938526{col 30}{space 2} 3.700265{col 41}{space 1}    2.42{col 50}{space 3}0.022{col 58}{space 4} 1.391786{col 71}{space 3} 16.48527
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}  17.2334{col 30}{space 2} 10.94999{col 41}{space 1}    1.57{col 50}{space 3}0.126{col 58}{space 4}-5.099258{col 71}{space 3} 39.56605
{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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.006617

{txt}added scalar:
             e(mean_y) =  {res}16.72891

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2012 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.27
{txt}{col 55}Prob > F      = {res}  0.0434
{txt}Total (centered) SS     = {res} 5094.179372{txt}{col 55}Centered R2   = {res}  0.0091
{txt}Total (uncentered) SS   = {res} 5094.179372{txt}{col 55}Uncentered R2 = {res}  0.0091
{txt}Residual SS             = {res} 5047.911416{txt}{col 55}Root MSE      = {res}   3.479

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .1770053{col 30}{space 2} .2578735{col 41}{space 1}    0.69{col 50}{space 3}0.498{col 58}{space 4}-.3489312{col 71}{space 3} .7029418
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0028131{col 30}{space 2} .0836622{col 41}{space 1}   -0.03{col 50}{space 3}0.973{col 58}{space 4}-.1734434{col 71}{space 3} .1678172
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0604376{col 30}{space 2} .1044796{col 41}{space 1}   -0.58{col 50}{space 3}0.567{col 58}{space 4}-.2735252{col 71}{space 3}   .15265
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0458534{col 30}{space 2} .1002303{col 41}{space 1}   -0.46{col 50}{space 3}0.651{col 58}{space 4}-.2502745{col 71}{space 3} .1585677
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 28.88751{col 30}{space 2} 957.4804{col 41}{space 1}    0.03{col 50}{space 3}0.976{col 58}{space 4}-1923.907{col 71}{space 3} 1981.682
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1128.171{col 30}{space 2} 479.5465{col 41}{space 1}   -2.35{col 50}{space 3}0.025{col 58}{space 4}-2106.213{col 71}{space 3}-150.1296
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-1.886693{col 30}{space 2}  9.73569{col 41}{space 1}   -0.19{col 50}{space 3}0.848{col 58}{space 4}-21.74276{col 71}{space 3} 17.96938
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 4.492804{col 30}{space 2} 3.971171{col 41}{space 1}    1.13{col 50}{space 3}0.267{col 58}{space 4}-3.606452{col 71}{space 3} 12.59206
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 21.66418{col 30}{space 2} 9.465717{col 41}{space 1}    2.29{col 50}{space 3}0.029{col 58}{space 4}  2.35872{col 71}{space 3} 40.96963
{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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}20.507488

{txt}added scalar:
             e(mean_y) =  {res}19.41339

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2017 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.92
{txt}{col 55}Prob > F      = {res}  0.0852
{txt}Total (centered) SS     = {res}  6125.33048{txt}{col 55}Centered R2   = {res} -0.0899
{txt}Total (uncentered) SS   = {res}  6125.33048{txt}{col 55}Uncentered R2 = {res} -0.0899
{txt}Residual SS             = {res} 6676.228668{txt}{col 55}Root MSE      = {res}   4.001

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .3200656{col 30}{space 2} .2230586{col 41}{space 1}    1.43{col 50}{space 3}0.161{col 58}{space 4}-.1348655{col 71}{space 3} .7749967
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1165462{col 30}{space 2} .0634765{col 41}{space 1}   -1.84{col 50}{space 3}0.076{col 58}{space 4}-.2460074{col 71}{space 3}  .012915
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0561109{col 30}{space 2} .0990188{col 41}{space 1}    0.57{col 50}{space 3}0.575{col 58}{space 4}-.1458392{col 71}{space 3} .2580611
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1360251{col 30}{space 2} .1211504{col 41}{space 1}   -1.12{col 50}{space 3}0.270{col 58}{space 4} -.383113{col 71}{space 3} .1110629
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1651.894{col 30}{space 2} 1660.295{col 41}{space 1}   -0.99{col 50}{space 3}0.327{col 58}{space 4}-5038.088{col 71}{space 3} 1734.301
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1002.859{col 30}{space 2} 622.7222{col 41}{space 1}   -1.61{col 50}{space 3}0.117{col 58}{space 4}-2272.909{col 71}{space 3} 267.1917
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 15.60142{col 30}{space 2} 16.86899{col 41}{space 1}    0.92{col 50}{space 3}0.362{col 58}{space 4}-18.80312{col 71}{space 3} 50.00596
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 7.304256{col 30}{space 2} 4.076331{col 41}{space 1}    1.79{col 50}{space 3}0.083{col 58}{space 4}-1.009475{col 71}{space 3} 15.61799
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 18.17499{col 30}{space 2}  12.2646{col 41}{space 1}    1.48{col 50}{space 3}0.148{col 58}{space 4}-6.838826{col 71}{space 3}  43.1888
{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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}20.793739

{txt}added scalar:
             e(mean_y) =  {res}20.639399
{txt}
{com}. 
. ******************************
. ***** 2. TABLE FOR PAPER *****
. ******************************
. 
. // Fixed effects
. 
. 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}. 
. // Labels
. 
. la var perc_e_1908_1927         "\\ Eligible births (\%)"
{txt}
{com}. la var perc_b_1903_1912         "[0.3em] Born 1903-1912 (\%)"
{txt}
{com}. la var perc_b_1913_1922         "[0.3em] Born 1913-1922 (\%)"
{txt}
{com}. la var perc_b_1923_1932         "[0.3em] Born 1923-1932 (\%)"
{txt}
{com}. la var perc_i_full                      "\\ Conscription proxy (\%)"
{txt}
{com}. 
. // First-Stage
. 
. estout P1965T1_FS P1969T1_FS P1974T1_FS P1995T1_FS P2002T1_FS P2007T1_FS P2012T1_FS P2017T1_FS ///
>         using "$results\\$program.tex", replace style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(F_fs mean_y, lab("\\ First-stage $ F $-statistic" "Mean dep. variable") fmt(2 2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_e_1908_1927) ///
>         order(perc_e_1908_1927) ///
>         title(Abstention and the radical right-wing vote: Second-stage estimates) ///
>         prehead( ///
>         "\begin{c -(}table{c )-}[t!]" ///
>         "\begin{c -(}center{c )-}" ///
>         "\begin{c -(}threeparttable{c )-}" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\caption{c -(}@title\label{c -(}$program{c )-}{c )-}" ///
>         "\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}@M{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}" ///
>         "\hline" "\hline" ///
>         "&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\" ///   
>         "       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\" ///
>         "\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}" ///
>         "\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\" ///
>         "%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: First-Stage Estimates. Dep. Variable: Conscription proxy (\%){c )-}\\") ///Vote Share of 
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
\begin{c -(}table{c )-}[t!]
\begin{c -(}center{c )-}
\begin{c -(}threeparttable{c )-}
\begin{c -(}scriptsize{c )-}
\caption{c -(}Abstention and the radical right-wing vote: Second-stage estimates\label{c -(}EEREV-D-21-00004_Table5{c )-}{c )-}
\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}8{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}
\hline
\hline
&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\
       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\
\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: First-Stage Estimates. Dep. Variable: Conscription proxy (\%){c )-}\\
\hline
\\ Eligible births (\%)&       0.240***&       0.252***&       0.253***&       0.247***&       0.233***&       0.247***&       0.251***&       0.247***\\
                    &     (0.054)   &     (0.055)   &     (0.053)   &     (0.051)   &     (0.051)   &     (0.047)   &     (0.056)   &     (0.054)   \\

\\ First-stage $ F $-statistic&       19.95   &       21.10   &       22.52   &       23.41   &       20.75   &       27.87   &       20.41   &       20.69   \\
Mean dep. variable  &        7.74   &        7.74   &        7.74   &        7.74   &        7.74   &        7.74   &        7.74   &        7.74   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_Table5.tex"'})

{com}. 
. // Radical-Right
. 
. estout P1965T1_VOTE P1969T1_VOTE P1974T1_VOTE P1995T1_VOTE P2002T1_VOTE P2007T1_VOTE P2012T1_VOTE P2017T1_VOTE ///
>         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: Radical right-wing 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: Radical right-wing vote (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&     --0.068   &               &       0.012   &       1.085***&       0.736** &       0.048   &       0.210   &       0.085   \\
                    &     (0.125)   &               &     (0.017)   &     (0.378)   &     (0.322)   &     (0.199)   &     (0.287)   &     (0.349)   \\

\\ Mean dep. variable&        1.21   &        0.00   &        0.31   &       22.18   &       22.25   &       14.89   &       23.24   &       27.27   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_Table5.tex"'})

{com}. 
. // Abstention
. 
. estout P1965T1_ABST P1969T1_ABST P1974T1_ABST P1995T1_ABST P2002T1_ABST P2007T1_ABST P2012T1_ABST P2017T1_ABST ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y, lab("\\ Mean dep. variable") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C: 2SLS Estimates. Dep. Variable: Abstention (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C: 2SLS Estimates. Dep. Variable: Abstention (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&       1.033** &       1.472** &       0.795** &     --0.147   &     --0.761** &       0.409** &       0.177   &       0.320   \\
                    &     (0.412)   &     (0.624)   &     (0.330)   &     (0.214)   &     (0.296)   &     (0.190)   &     (0.258)   &     (0.223)   \\

\\ Mean dep. variable&       15.29   &       23.63   &       17.07   &       19.79   &       28.39   &       16.73   &       19.41   &       20.64   \\

{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_Table5.tex"'})

{com}. 
. // Closure
. 
. estout P1965T1_ABST P1969T1_ABST P1974T1_ABST P1995T1_ABST P2002T1_ABST P2007T1_ABST P2012T1_ABST P2017T1_ABST ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(N N_clust, lab("Observations" "Clusters") fmt(0 0)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         drop(*) ///     
>         indicate( ///   
>         "Border segment FE = 0.borderfe25" ///
>         "Historical dialect FE = 0.dialect_lux" ///
>         "Full set of controls = perc_b_1903_1912" ///
>         , labels(Yes )) ///
>         prehead("\\ Lat-lon polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ ") ///
>         posthead("") ///
>         prefoot("\hline") ///
>         postfoot("\hline" "\hline" ///
>         "\end{c -(}tabular*{c )-}" /// 
>         "\end{c -(}scriptsize{c )-}" ///
>         "\begin{c -(}tablenotes{c )-}[normal,flushleft]" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\item \emph{c -(}Notes{c )-}:" /// 
>         "2SLS estimates of the effect of conscription into the Wehrmacht on support for radical right-wing candidates and on abstention. " ///
>         "The unit of observation is a municipality. " ///
>         "Standard errors clustered at the canton level in parentheses. " ///
>         "Panel A: First-stage estimates; " ///
>         "Panels B and C: 2SLS estimates with radical right-wing vote and abstention as the outcome, respectively. " ///
>         "Each column presents the estimation for a different election. " ///
>         "All specifications include a quadratic polynomial in latitude and longitude ($ x+y+x^2+y^2+xy $). " ///
>         "First-stage F-statistic is the Kleibergen-Paap rk Wald F-statistic of the first-stage estimation. " ///
>         "* significant at 10\%; ** at 5\%; *** at 1\%. " ///    
>         "\end{c -(}scriptsize{c )-}" ///
>         "\end{c -(}tablenotes{c )-}" ///
>         "\end{c -(}threeparttable{c )-}" ///
>         "\end{c -(}center{c )-}" ///
>         "\end{c -(}table{c )-}")
{res}
\\ Lat-lon polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ 

Border segment FE   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Historical dialect FE &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Full set of controls &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
\hline
Observations        &         462   &         462   &         462   &         462   &         462   &         462   &         462   &         462   \\
Clusters            &          32   &          32   &          32   &          32   &          32   &          32   &          32   &          32   \\
\hline
\hline
\end{c -(}tabular*{c )-}
\end{c -(}scriptsize{c )-}
\begin{c -(}tablenotes{c )-}[normal,flushleft]
\begin{c -(}scriptsize{c )-}
\item \emph{c -(}Notes{c )-}:
2SLS estimates of the effect of conscription into the Wehrmacht on support for radical right-wing candidates and on abstention. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panel A: First-stage estimates; 
Panels B and C: 2SLS estimates with radical right-wing vote and abstention as the outcome, respectively. 
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_Table5.tex"'})

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