{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE C7 ****
. 
. 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 casulaties data
. 
. use $data\EEREV-D-21-00004_Data_Municipalities.dta, clear
{txt}
{com}. 
. // Substract casualties
. 
. recode perc_d_1908_1913 (.=0) if dep==57
{txt}(5648 changes made to {bf:perc_d_1908_1913})

{com}. replace perc_i_full=perc_i_full-perc_d_1908_1913
{txt}(6,616 real changes made, 5,040 to missing)

{com}. 
. // Macros
. 
. global geogr_endow                      "water lelevation_mean lelevation_std ldist_de" 
{txt}
{com}. global pop                                      "perc_b_1928_1945 perc_b_1946_1964 perc_b_1965_1980 perc_b_1981_1996 perc_male_counter"
{txt}
{com}. global demog_chara                      "lpop_counter perc_fore $pop"
{txt}
{com}. global socec_aspec                      "perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd"
{txt}
{com}. 
. // Control vectors
. 
. global sigma                            "perc_prot_church pop_jew p_french_name lpop_1936 perc_fore_1936 perc_dial_1936 perc_disp_1946 $geogr_endow perc_droi_1936_ins"
{txt}
{com}. global w                                        "$demog_chara $socec_aspec"
{txt}
{com}. global dialect                          "dialect_lux dialect_mos dialect_rhe dialect_pal dialect_als dialect_hau dialect_lor dialect_fra"
{txt}
{com}. 
. // Controls vector
. 
. global rdd2                             "rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon"
{txt}
{com}. 
. // First stage
. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}. 
.         ivreghdfe perc_i_1908_1913 perc_e_1908_1913 ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_i_1914_1927 /// 
>                 $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
{txt}  4{com}.         sum perc_i_1908_1913  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_1913
{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 - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #13{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #19{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( 10,    31) = {res}   23.85
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 464.5317025{txt}{col 55}Centered R2   = {res}  0.2018
{txt}Total (uncentered) SS   = {res} 464.5317025{txt}{col 55}Uncentered R2 = {res}  0.2018
{txt}Residual SS             = {res} 370.7955228{txt}{col 55}Root MSE      = {res}   .9452

{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_1908_1913{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_1913 {c |}{col 18}{res}{space 2} .1394974{col 30}{space 2} .0141305{col 41}{space 1}    9.87{col 50}{space 3}0.000{col 58}{space 4} .1106781{col 71}{space 3} .1683167
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0236334{col 30}{space 2} .0150629{col 41}{space 1}   -1.57{col 50}{space 3}0.127{col 58}{space 4}-.0543544{col 71}{space 3} .0070876
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0006612{col 30}{space 2}  .023145{col 41}{space 1}    0.03{col 50}{space 3}0.977{col 58}{space 4}-.0465433{col 71}{space 3} .0478657
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0452646{col 30}{space 2} .0182365{col 41}{space 1}   -2.48{col 50}{space 3}0.019{col 58}{space 4}-.0824582{col 71}{space 3} -.008071
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .0339016{col 30}{space 2} .0198107{col 41}{space 1}    1.71{col 50}{space 3}0.097{col 58}{space 4}-.0065026{col 71}{space 3} .0743058
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}  190.636{col 30}{space 2} 309.4014{col 41}{space 1}    0.62{col 50}{space 3}0.542{col 58}{space 4}-440.3922{col 71}{space 3} 821.6643
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 264.8715{col 30}{space 2} 130.8128{col 41}{space 1}    2.02{col 50}{space 3}0.052{col 58}{space 4}-1.923024{col 71}{space 3} 531.6661
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-1.576289{col 30}{space 2} 3.134418{col 41}{space 1}   -0.50{col 50}{space 3}0.619{col 58}{space 4}-7.968977{col 71}{space 3} 4.816399
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.411082{col 30}{space 2} 1.511131{col 41}{space 1}   -0.93{col 50}{space 3}0.358{col 58}{space 4}-4.493054{col 71}{space 3} 1.670889
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-4.990522{col 30}{space 2} 2.509091{col 41}{space 1}   -1.99{col 50}{space 3}0.056{col 58}{space 4}-10.10785{col 71}{space 3} .1268032
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1913 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 perc_i_1914_1927 rdd_lat rdd_lon
{col 23}rdd_lat_2 rdd_lon_2 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
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}
perc_i_~1913 {c |}{res}        462    .9033327    1.264641          0   7.966238

{txt}added scalar:
             e(mean_y) =  {res}.90333271

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1913 = 0{p_end}

{txt}       F(  1,    31) ={res}   97.46
{txt}{col 13}Prob > F ={res}    0.0000

{txt}added scalar:
               e(F_fs) =  {res}97.458131
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #13{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #19{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( 10,    31) = {res}   23.95
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 464.1368641{txt}{col 55}Centered R2   = {res}  0.2019
{txt}Total (uncentered) SS   = {res} 464.1368641{txt}{col 55}Uncentered R2 = {res}  0.2019
{txt}Residual SS             = {res} 370.4389954{txt}{col 55}Root MSE      = {res}   .9448

{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_1908_1913{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_1913 {c |}{col 18}{res}{space 2} .1404742{col 30}{space 2} .0139208{col 41}{space 1}   10.09{col 50}{space 3}0.000{col 58}{space 4} .1120825{col 71}{space 3} .1688658
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0237671{col 30}{space 2} .0151344{col 41}{space 1}   -1.57{col 50}{space 3}0.126{col 58}{space 4}-.0546338{col 71}{space 3} .0070997
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0007016{col 30}{space 2} .0246951{col 41}{space 1}   -0.03{col 50}{space 3}0.978{col 58}{space 4}-.0510675{col 71}{space 3} .0496643
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0477501{col 30}{space 2} .0191967{col 41}{space 1}   -2.49{col 50}{space 3}0.018{col 58}{space 4} -.086902{col 71}{space 3}-.0085982
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .0332269{col 30}{space 2} .0191381{col 41}{space 1}    1.74{col 50}{space 3}0.092{col 58}{space 4}-.0058056{col 71}{space 3} .0722593
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 181.6406{col 30}{space 2} 289.2562{col 41}{space 1}    0.63{col 50}{space 3}0.535{col 58}{space 4}-408.3012{col 71}{space 3} 771.5824
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 246.0293{col 30}{space 2} 121.4125{col 41}{space 1}    2.03{col 50}{space 3}0.051{col 58}{space 4}-1.593208{col 71}{space 3} 493.6517
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-1.510542{col 30}{space 2} 2.928168{col 41}{space 1}   -0.52{col 50}{space 3}0.610{col 58}{space 4} -7.48258{col 71}{space 3} 4.461497
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.304129{col 30}{space 2} 1.501807{col 41}{space 1}   -0.87{col 50}{space 3}0.392{col 58}{space 4}-4.367084{col 71}{space 3} 1.758826
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} -4.63849{col 30}{space 2} 2.299612{col 41}{space 1}   -2.02{col 50}{space 3}0.052{col 58}{space 4}-9.328579{col 71}{space 3} .0515991
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1913 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 perc_i_1914_1927 rdd_lat rdd_lon
{col 23}rdd_lat_2 rdd_lon_2 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
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}
perc_i_~1913 {c |}{res}        462    .9033327    1.264641          0   7.966238

{txt}added scalar:
             e(mean_y) =  {res}.90333271

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1913 = 0{p_end}

{txt}       F(  1,    31) ={res}  101.83
{txt}{col 13}Prob > F ={res}    0.0000

{txt}added scalar:
               e(F_fs) =  {res}101.82731
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #13{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #19{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( 10,    31) = {res}   27.85
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 459.3047181{txt}{col 55}Centered R2   = {res}  0.2043
{txt}Total (uncentered) SS   = {res} 459.3047181{txt}{col 55}Uncentered R2 = {res}  0.2043
{txt}Residual SS             = {res} 365.4851279{txt}{col 55}Root MSE      = {res}   .9384

{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_1908_1913{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_1913 {c |}{col 18}{res}{space 2} .1346629{col 30}{space 2}  .015015{col 41}{space 1}    8.97{col 50}{space 3}0.000{col 58}{space 4} .1040396{col 71}{space 3} .1652861
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0243801{col 30}{space 2} .0140607{col 41}{space 1}   -1.73{col 50}{space 3}0.093{col 58}{space 4} -.053057{col 71}{space 3} .0042968
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0067873{col 30}{space 2} .0236674{col 41}{space 1}    0.29{col 50}{space 3}0.776{col 58}{space 4}-.0414828{col 71}{space 3} .0550574
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.054039{col 30}{space 2} .0195672{col 41}{space 1}   -2.76{col 50}{space 3}0.010{col 58}{space 4}-.0939465{col 71}{space 3}-.0141316
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2}  .037192{col 30}{space 2} .0205482{col 41}{space 1}    1.81{col 50}{space 3}0.080{col 58}{space 4}-.0047163{col 71}{space 3} .0791003
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 219.9562{col 30}{space 2} 233.0338{col 41}{space 1}    0.94{col 50}{space 3}0.353{col 58}{space 4}-255.3194{col 71}{space 3} 695.2317
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 305.2112{col 30}{space 2} 124.8071{col 41}{space 1}    2.45{col 50}{space 3}0.020{col 58}{space 4} 50.66541{col 71}{space 3} 559.7569
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-1.814521{col 30}{space 2} 2.377405{col 41}{space 1}   -0.76{col 50}{space 3}0.451{col 58}{space 4} -6.66327{col 71}{space 3} 3.034229
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} -1.43714{col 30}{space 2} 1.579494{col 41}{space 1}   -0.91{col 50}{space 3}0.370{col 58}{space 4}-4.658538{col 71}{space 3} 1.784259
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-5.810705{col 30}{space 2} 2.326806{col 41}{space 1}   -2.50{col 50}{space 3}0.018{col 58}{space 4}-10.55626{col 71}{space 3}-1.065153
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1913 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 perc_i_1914_1927 rdd_lat rdd_lon
{col 23}rdd_lat_2 rdd_lon_2 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
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}
perc_i_~1913 {c |}{res}        462    .9033327    1.264641          0   7.966238

{txt}added scalar:
             e(mean_y) =  {res}.90333271

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1913 = 0{p_end}

{txt}       F(  1,    31) ={res}   80.44
{txt}{col 13}Prob > F ={res}    0.0000

{txt}added scalar:
               e(F_fs) =  {res}80.4352
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #13{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #19{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( 10,    31) = {res}   25.24
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 460.0380707{txt}{col 55}Centered R2   = {res}  0.1973
{txt}Total (uncentered) SS   = {res} 460.0380707{txt}{col 55}Uncentered R2 = {res}  0.1973
{txt}Residual SS             = {res} 369.2609568{txt}{col 55}Root MSE      = {res}   .9444

{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_1908_1913{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_1913 {c |}{col 18}{res}{space 2}  .135856{col 30}{space 2} .0147361{col 41}{space 1}    9.22{col 50}{space 3}0.000{col 58}{space 4} .1058015{col 71}{space 3} .1659106
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0200942{col 30}{space 2} .0138583{col 41}{space 1}   -1.45{col 50}{space 3}0.157{col 58}{space 4}-.0483584{col 71}{space 3}   .00817
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0042622{col 30}{space 2} .0236735{col 41}{space 1}    0.18{col 50}{space 3}0.858{col 58}{space 4}-.0440203{col 71}{space 3} .0525447
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0485928{col 30}{space 2}  .019104{col 41}{space 1}   -2.54{col 50}{space 3}0.016{col 58}{space 4}-.0875556{col 71}{space 3}  -.00963
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2}  .034469{col 30}{space 2}  .020338{col 41}{space 1}    1.69{col 50}{space 3}0.100{col 58}{space 4}-.0070107{col 71}{space 3} .0759488
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 167.4369{col 30}{space 2} 281.0764{col 41}{space 1}    0.60{col 50}{space 3}0.556{col 58}{space 4}-405.8222{col 71}{space 3}  740.696
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 328.0577{col 30}{space 2} 127.4408{col 41}{space 1}    2.57{col 50}{space 3}0.015{col 58}{space 4} 68.14048{col 71}{space 3} 587.9749
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-1.235901{col 30}{space 2} 2.870064{col 41}{space 1}   -0.43{col 50}{space 3}0.670{col 58}{space 4}-7.089436{col 71}{space 3} 4.617633
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} -1.20286{col 30}{space 2} 1.549388{col 41}{space 1}   -0.78{col 50}{space 3}0.443{col 58}{space 4}-4.362857{col 71}{space 3} 1.957138
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-6.346194{col 30}{space 2} 2.423996{col 41}{space 1}   -2.62{col 50}{space 3}0.014{col 58}{space 4}-11.28997{col 71}{space 3}-1.402422
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1913 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 perc_i_1914_1927 rdd_lat rdd_lon
{col 23}rdd_lat_2 rdd_lon_2 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
{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}
perc_i_~1913 {c |}{res}        462    .9033327    1.264641          0   7.966238

{txt}added scalar:
             e(mean_y) =  {res}.90333271

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1913 = 0{p_end}

{txt}       F(  1,    31) ={res}   84.99
{txt}{col 13}Prob > F ={res}    0.0000

{txt}added scalar:
               e(F_fs) =  {res}84.99434
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #13{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #19{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( 10,    31) = {res}   29.24
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 460.4629923{txt}{col 55}Centered R2   = {res}  0.1964
{txt}Total (uncentered) SS   = {res} 460.4629923{txt}{col 55}Uncentered R2 = {res}  0.1964
{txt}Residual SS             = {res} 370.0444078{txt}{col 55}Root MSE      = {res}   .9454

{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_1908_1913{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_1913 {c |}{col 18}{res}{space 2} .1334845{col 30}{space 2} .0144893{col 41}{space 1}    9.21{col 50}{space 3}0.000{col 58}{space 4} .1039335{col 71}{space 3} .1630355
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0237329{col 30}{space 2} .0143303{col 41}{space 1}   -1.66{col 50}{space 3}0.108{col 58}{space 4}-.0529597{col 71}{space 3} .0054938
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0100479{col 30}{space 2} .0251421{col 41}{space 1}    0.40{col 50}{space 3}0.692{col 58}{space 4}-.0412298{col 71}{space 3} .0613256
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0404662{col 30}{space 2} .0166064{col 41}{space 1}   -2.44{col 50}{space 3}0.021{col 58}{space 4}-.0743353{col 71}{space 3}-.0065972
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .0356257{col 30}{space 2} .0191846{col 41}{space 1}    1.86{col 50}{space 3}0.073{col 58}{space 4}-.0035016{col 71}{space 3}  .074753
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 347.9039{col 30}{space 2} 281.9402{col 41}{space 1}    1.23{col 50}{space 3}0.226{col 58}{space 4}-227.1169{col 71}{space 3} 922.9248
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 334.0109{col 30}{space 2} 125.5384{col 41}{space 1}    2.66{col 50}{space 3}0.012{col 58}{space 4}  77.9737{col 71}{space 3} 590.0482
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.085992{col 30}{space 2} 2.861035{col 41}{space 1}   -1.08{col 50}{space 3}0.289{col 58}{space 4} -8.92111{col 71}{space 3} 2.749127
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.392243{col 30}{space 2} 1.461392{col 41}{space 1}   -0.95{col 50}{space 3}0.348{col 58}{space 4}-4.372771{col 71}{space 3} 1.588286
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-6.415422{col 30}{space 2}  2.38349{col 41}{space 1}   -2.69{col 50}{space 3}0.011{col 58}{space 4}-11.27658{col 71}{space 3}-1.554263
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1913 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 perc_i_1914_1927 rdd_lat rdd_lon
{col 23}rdd_lat_2 rdd_lon_2 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
{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}
perc_i_~1913 {c |}{res}        462    .9033327    1.264641          0   7.966238

{txt}added scalar:
             e(mean_y) =  {res}.90333271

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1913 = 0{p_end}

{txt}       F(  1,    31) ={res}   84.87
{txt}{col 13}Prob > F ={res}    0.0000

{txt}added scalar:
               e(F_fs) =  {res}84.87303
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #13{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #19{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( 10,    31) = {res}   27.00
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 476.6634677{txt}{col 55}Centered R2   = {res}  0.2175
{txt}Total (uncentered) SS   = {res} 476.6634677{txt}{col 55}Uncentered R2 = {res}  0.2175
{txt}Residual SS             = {res}  372.997115{txt}{col 55}Root MSE      = {res}   .9492

{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_1908_1913{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_1913 {c |}{col 18}{res}{space 2} .1385065{col 30}{space 2} .0146983{col 41}{space 1}    9.42{col 50}{space 3}0.000{col 58}{space 4} .1085291{col 71}{space 3} .1684839
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0230475{col 30}{space 2} .0151328{col 41}{space 1}   -1.52{col 50}{space 3}0.138{col 58}{space 4} -.053911{col 71}{space 3} .0078159
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0021297{col 30}{space 2} .0245324{col 41}{space 1}    0.09{col 50}{space 3}0.931{col 58}{space 4}-.0479045{col 71}{space 3} .0521639
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0395539{col 30}{space 2} .0165213{col 41}{space 1}   -2.39{col 50}{space 3}0.023{col 58}{space 4}-.0732493{col 71}{space 3}-.0058585
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .0385183{col 30}{space 2}  .020895{col 41}{space 1}    1.84{col 50}{space 3}0.075{col 58}{space 4}-.0040974{col 71}{space 3} .0811339
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 336.7476{col 30}{space 2} 254.5305{col 41}{space 1}    1.32{col 50}{space 3}0.196{col 58}{space 4}-182.3707{col 71}{space 3} 855.8658
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 275.7866{col 30}{space 2}  118.899{col 41}{space 1}    2.32{col 50}{space 3}0.027{col 58}{space 4} 33.29036{col 71}{space 3} 518.2828
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.051021{col 30}{space 2} 2.597212{col 41}{space 1}   -1.17{col 50}{space 3}0.249{col 58}{space 4} -8.34807{col 71}{space 3} 2.246029
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.181547{col 30}{space 2} 1.417806{col 41}{space 1}   -0.83{col 50}{space 3}0.411{col 58}{space 4}-4.073181{col 71}{space 3} 1.710087
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-5.287917{col 30}{space 2} 2.263361{col 41}{space 1}   -2.34{col 50}{space 3}0.026{col 58}{space 4}-9.904073{col 71}{space 3} -.671761
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1913 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 perc_i_1914_1927 rdd_lat rdd_lon
{col 23}rdd_lat_2 rdd_lon_2 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
{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}
perc_i_~1913 {c |}{res}        462    .9033327    1.264641          0   7.966238

{txt}added scalar:
             e(mean_y) =  {res}.90333271

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1913 = 0{p_end}

{txt}       F(  1,    31) ={res}   88.80
{txt}{col 13}Prob > F ={res}    0.0000

{txt}added scalar:
               e(F_fs) =  {res}88.798531
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #13{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #19{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( 10,    31) = {res}   32.99
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 472.0303041{txt}{col 55}Centered R2   = {res}  0.2090
{txt}Total (uncentered) SS   = {res} 472.0303041{txt}{col 55}Uncentered R2 = {res}  0.2090
{txt}Residual SS             = {res} 373.3757628{txt}{col 55}Root MSE      = {res}   .9497

{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_1908_1913{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_1913 {c |}{col 18}{res}{space 2} .1429557{col 30}{space 2} .0142307{col 41}{space 1}   10.05{col 50}{space 3}0.000{col 58}{space 4}  .113932{col 71}{space 3} .1719793
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0236071{col 30}{space 2} .0151634{col 41}{space 1}   -1.56{col 50}{space 3}0.130{col 58}{space 4} -.054533{col 71}{space 3} .0073188
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.000444{col 30}{space 2} .0241096{col 41}{space 1}   -0.02{col 50}{space 3}0.985{col 58}{space 4}-.0496158{col 71}{space 3} .0487279
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0370442{col 30}{space 2} .0158088{col 41}{space 1}   -2.34{col 50}{space 3}0.026{col 58}{space 4}-.0692865{col 71}{space 3} -.004802
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .0340673{col 30}{space 2} .0200572{col 41}{space 1}    1.70{col 50}{space 3}0.099{col 58}{space 4}-.0068397{col 71}{space 3} .0749742
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 358.1777{col 30}{space 2} 258.0511{col 41}{space 1}    1.39{col 50}{space 3}0.175{col 58}{space 4} -168.121{col 71}{space 3} 884.4764
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 303.3841{col 30}{space 2} 135.0725{col 41}{space 1}    2.25{col 50}{space 3}0.032{col 58}{space 4}  27.9019{col 71}{space 3} 578.8664
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.232962{col 30}{space 2} 2.631183{col 41}{space 1}   -1.23{col 50}{space 3}0.228{col 58}{space 4}-8.599294{col 71}{space 3}  2.13337
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.422613{col 30}{space 2} 1.443769{col 41}{space 1}   -0.99{col 50}{space 3}0.332{col 58}{space 4}-4.367199{col 71}{space 3} 1.521974
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-5.779906{col 30}{space 2} 2.601405{col 41}{space 1}   -2.22{col 50}{space 3}0.034{col 58}{space 4}-11.08551{col 71}{space 3}-.4743066
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1913 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 perc_i_1914_1927 rdd_lat rdd_lon
{col 23}rdd_lat_2 rdd_lon_2 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
{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}
perc_i_~1913 {c |}{res}        462    .9033327    1.264641          0   7.966238

{txt}added scalar:
             e(mean_y) =  {res}.90333271

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1913 = 0{p_end}

{txt}       F(  1,    31) ={res}  100.91
{txt}{col 13}Prob > F ={res}    0.0000

{txt}added scalar:
               e(F_fs) =  {res}100.91409
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #13{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #19{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( 10,    31) = {res}   29.14
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 470.0392898{txt}{col 55}Centered R2   = {res}  0.2109
{txt}Total (uncentered) SS   = {res} 470.0392898{txt}{col 55}Uncentered R2 = {res}  0.2109
{txt}Residual SS             = {res} 370.9281211{txt}{col 55}Root MSE      = {res}   .9466

{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_1908_1913{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_1913 {c |}{col 18}{res}{space 2} .1428487{col 30}{space 2} .0144607{col 41}{space 1}    9.88{col 50}{space 3}0.000{col 58}{space 4} .1133559{col 71}{space 3} .1723415
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0217877{col 30}{space 2} .0148456{col 41}{space 1}   -1.47{col 50}{space 3}0.152{col 58}{space 4}-.0520654{col 71}{space 3} .0084901
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  -.00059{col 30}{space 2} .0246761{col 41}{space 1}   -0.02{col 50}{space 3}0.981{col 58}{space 4}-.0509173{col 71}{space 3} .0497372
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0396422{col 30}{space 2} .0154115{col 41}{space 1}   -2.57{col 50}{space 3}0.015{col 58}{space 4}-.0710741{col 71}{space 3}-.0082103
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .0334048{col 30}{space 2}   .01917{col 41}{space 1}    1.74{col 50}{space 3}0.091{col 58}{space 4}-.0056927{col 71}{space 3} .0725024
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 363.9122{col 30}{space 2} 291.3292{col 41}{space 1}    1.25{col 50}{space 3}0.221{col 58}{space 4}-230.2575{col 71}{space 3}  958.082
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 312.8835{col 30}{space 2} 149.0738{col 41}{space 1}    2.10{col 50}{space 3}0.044{col 58}{space 4} 8.845397{col 71}{space 3} 616.9215
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-3.278101{col 30}{space 2} 2.950345{col 41}{space 1}   -1.11{col 50}{space 3}0.275{col 58}{space 4}-9.295369{col 71}{space 3} 2.739167
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.446054{col 30}{space 2} 1.606727{col 41}{space 1}   -0.90{col 50}{space 3}0.375{col 58}{space 4}-4.722995{col 71}{space 3} 1.830887
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-5.965722{col 30}{space 2} 2.874803{col 41}{space 1}   -2.08{col 50}{space 3}0.046{col 58}{space 4}-11.82892{col 71}{space 3}-.1025234
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1913 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 perc_i_1914_1927 rdd_lat rdd_lon
{col 23}rdd_lat_2 rdd_lon_2 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
{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}
perc_i_~1913 {c |}{res}        462    .9033327    1.264641          0   7.966238

{txt}added scalar:
             e(mean_y) =  {res}.90333271

{p 0 7}{space 1}{text:( 1)}{space 1} perc_e_1908_1913 = 0{p_end}

{txt}       F(  1,    31) ={res}   97.58
{txt}{col 13}Prob > F ={res}    0.0000

{txt}added scalar:
               e(F_fs) =  {res}97.582872
{txt}
{com}. 
. // 1965-1969 FOR TABLE
. 
. foreach year in 1969{c -(}
{txt}  2{com}. 
.         reg perc_voixexd_ins perc_b_1903_1912 if annee==`year' & sample==1, cluster(ct_1936_enc)
{txt}  3{com}.         estimates store P`year'T1_VOTE, title(`year'R1)
{txt}  4{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         
. {c )-}

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

{txt}{ralign 82:(Std. err. adjusted for {res:32} clusters in ct_1936_enc)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_b_1903_1912 {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 11}_cons {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}added scalar:
             e(mean_y) =  {res}0
{txt}
{com}. 
. // Radical-Right
. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_voixexd_ins (perc_i_1908_1913 = perc_e_1908_1913) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_i_1914_1927 /// 
>                 $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_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: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    1.88
{txt}{col 55}Prob > F      = {res}  0.0876
{txt}Total (centered) SS     = {res} 617.1098426{txt}{col 55}Centered R2   = {res}  0.0265
{txt}Total (uncentered) SS   = {res} 617.1098426{txt}{col 55}Uncentered R2 = {res}  0.0265
{txt}Residual SS             = {res} 600.7473147{txt}{col 55}Root MSE      = {res}   1.203

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} -.136457{col 30}{space 2} .2027139{col 41}{space 1}   -0.67{col 50}{space 3}0.506{col 58}{space 4}-.5498947{col 71}{space 3} .2769807
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0217581{col 30}{space 2} .0187906{col 41}{space 1}    1.16{col 50}{space 3}0.256{col 58}{space 4}-.0165656{col 71}{space 3} .0600818
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0360789{col 30}{space 2} .0261938{col 41}{space 1}    1.38{col 50}{space 3}0.178{col 58}{space 4}-.0173437{col 71}{space 3} .0895015
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0958676{col 30}{space 2} .0301679{col 41}{space 1}   -3.18{col 50}{space 3}0.003{col 58}{space 4}-.1573954{col 71}{space 3}-.0343397
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .0324205{col 30}{space 2} .0210909{col 41}{space 1}    1.54{col 50}{space 3}0.134{col 58}{space 4}-.0105947{col 71}{space 3} .0754357
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -633.514{col 30}{space 2} 590.0375{col 41}{space 1}   -1.07{col 50}{space 3}0.291{col 58}{space 4}-1836.903{col 71}{space 3} 569.8755
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 249.6535{col 30}{space 2} 165.7083{col 41}{space 1}    1.51{col 50}{space 3}0.142{col 58}{space 4}-88.31084{col 71}{space 3} 587.6178
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 6.889011{col 30}{space 2}  6.04034{col 41}{space 1}    1.14{col 50}{space 3}0.263{col 58}{space 4}-5.430344{col 71}{space 3} 19.20836
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .5535596{col 30}{space 2} 1.314381{col 41}{space 1}    0.42{col 50}{space 3}0.677{col 58}{space 4}-2.127137{col 71}{space 3} 3.234256
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-5.255688{col 30}{space 2}  3.35688{col 41}{space 1}   -1.57{col 50}{space 3}0.128{col 58}{space 4}-12.10209{col 71}{space 3} 1.590715
{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}  13.648
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0002
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  67.396
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  97.458
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}97.458131

{txt}added scalar:
             e(mean_y) =  {res}1.2057242
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    0.99
{txt}{col 55}Prob > F      = {res}  0.4760
{txt}Total (centered) SS     = {res} 73.62421611{txt}{col 55}Centered R2   = {res}  0.0186
{txt}Total (uncentered) SS   = {res} 73.62421611{txt}{col 55}Uncentered R2 = {res}  0.0186
{txt}Residual SS             = {res} 72.25837108{txt}{col 55}Root MSE      = {res}   .4173

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} .0251563{col 30}{space 2} .0304288{col 41}{space 1}    0.83{col 50}{space 3}0.415{col 58}{space 4}-.0369037{col 71}{space 3} .0872163
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .006388{col 30}{space 2} .0052257{col 41}{space 1}    1.22{col 50}{space 3}0.231{col 58}{space 4}-.0042699{col 71}{space 3} .0170458
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0089337{col 30}{space 2} .0090416{col 41}{space 1}   -0.99{col 50}{space 3}0.331{col 58}{space 4}-.0273742{col 71}{space 3} .0095069
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0095359{col 30}{space 2} .0087633{col 41}{space 1}   -1.09{col 50}{space 3}0.285{col 58}{space 4}-.0274087{col 71}{space 3} .0083369
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2}-.0050255{col 30}{space 2} .0048433{col 41}{space 1}   -1.04{col 50}{space 3}0.307{col 58}{space 4}-.0149034{col 71}{space 3} .0048524
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-8.249297{col 30}{space 2} 110.3645{col 41}{space 1}   -0.07{col 50}{space 3}0.941{col 58}{space 4}-233.3393{col 71}{space 3} 216.8407
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-35.46528{col 30}{space 2} 77.15965{col 41}{space 1}   -0.46{col 50}{space 3}0.649{col 58}{space 4}-192.8334{col 71}{space 3} 121.9029
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .0387339{col 30}{space 2}  1.09907{col 41}{space 1}    0.04{col 50}{space 3}0.972{col 58}{space 4}-2.202834{col 71}{space 3} 2.280302
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .7033659{col 30}{space 2} .5588158{col 41}{space 1}    1.26{col 50}{space 3}0.218{col 58}{space 4}-.4363464{col 71}{space 3} 1.843078
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} .5152292{col 30}{space 2} 1.531255{col 41}{space 1}    0.34{col 50}{space 3}0.739{col 58}{space 4}-2.607785{col 71}{space 3} 3.638243
{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}  13.779
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0002
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  63.151
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  80.435
{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_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}80.4352

{txt}added scalar:
             e(mean_y) =  {res}.3129585
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    3.15
{txt}{col 55}Prob > F      = {res}  0.0069
{txt}Total (centered) SS     = {res} 8862.597983{txt}{col 55}Centered R2   = {res} -0.0479
{txt}Total (uncentered) SS   = {res} 8862.597983{txt}{col 55}Uncentered R2 = {res} -0.0479
{txt}Residual SS             = {res} 9287.201595{txt}{col 55}Root MSE      = {res}   4.736

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} 1.858624{col 30}{space 2} .7919423{col 41}{space 1}    2.35{col 50}{space 3}0.025{col 58}{space 4} .2434472{col 71}{space 3} 3.473801
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0586872{col 30}{space 2} .0773686{col 41}{space 1}    0.76{col 50}{space 3}0.454{col 58}{space 4}-.0991071{col 71}{space 3} .2164815
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0784192{col 30}{space 2} .1523391{col 41}{space 1}   -0.51{col 50}{space 3}0.610{col 58}{space 4}-.3891169{col 71}{space 3} .2322784
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0736323{col 30}{space 2} .0876925{col 41}{space 1}    0.84{col 50}{space 3}0.408{col 58}{space 4}-.1052177{col 71}{space 3} .2524824
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2}   .08115{col 30}{space 2} .0967135{col 41}{space 1}    0.84{col 50}{space 3}0.408{col 58}{space 4}-.1160984{col 71}{space 3} .2783984
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1027.959{col 30}{space 2} 1853.766{col 41}{space 1}    0.55{col 50}{space 3}0.583{col 58}{space 4}-2752.822{col 71}{space 3}  4808.74
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1608.354{col 30}{space 2} 889.0802{col 41}{space 1}   -1.81{col 50}{space 3}0.080{col 58}{space 4}-3421.645{col 71}{space 3} 204.9368
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-13.10902{col 30}{space 2}  19.0532{col 41}{space 1}   -0.69{col 50}{space 3}0.497{col 58}{space 4}-51.96828{col 71}{space 3} 25.75024
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-3.876966{col 30}{space 2} 7.339208{col 41}{space 1}   -0.53{col 50}{space 3}0.601{col 58}{space 4}-18.84538{col 71}{space 3} 11.09145
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 33.68603{col 30}{space 2} 18.14945{col 41}{space 1}    1.86{col 50}{space 3}0.073{col 58}{space 4}-3.330028{col 71}{space 3} 70.70208
{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}  13.144
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0003
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  61.500
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  84.994
{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_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}84.994339

{txt}added scalar:
             e(mean_y) =  {res}22.177668
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    2.10
{txt}{col 55}Prob > F      = {res}  0.0555
{txt}Total (centered) SS     = {res} 7921.764391{txt}{col 55}Centered R2   = {res} -0.0375
{txt}Total (uncentered) SS   = {res} 7921.764391{txt}{col 55}Uncentered R2 = {res} -0.0375
{txt}Residual SS             = {res} 8218.642715{txt}{col 55}Root MSE      = {res}   4.456

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} 1.212774{col 30}{space 2} .6549116{col 41}{space 1}    1.85{col 50}{space 3}0.074{col 58}{space 4}-.1229267{col 71}{space 3} 2.548475
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0347124{col 30}{space 2} .0700331{col 41}{space 1}    0.50{col 50}{space 3}0.624{col 58}{space 4}-.1081212{col 71}{space 3} .1775459
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0730236{col 30}{space 2} .1282866{col 41}{space 1}    0.57{col 50}{space 3}0.573{col 58}{space 4}-.1886186{col 71}{space 3} .3346658
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0317203{col 30}{space 2} .0813747{col 41}{space 1}   -0.39{col 50}{space 3}0.699{col 58}{space 4}-.1976851{col 71}{space 3} .1342444
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .0577889{col 30}{space 2} .0970629{col 41}{space 1}    0.60{col 50}{space 3}0.556{col 58}{space 4}-.1401723{col 71}{space 3}   .25575
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1984.193{col 30}{space 2} 1717.169{col 41}{space 1}   -1.16{col 50}{space 3}0.257{col 58}{space 4}-5486.382{col 71}{space 3} 1517.997
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1426.227{col 30}{space 2} 914.6135{col 41}{space 1}   -1.56{col 50}{space 3}0.129{col 58}{space 4}-3291.593{col 71}{space 3} 439.1397
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  18.2495{col 30}{space 2} 17.16073{col 41}{space 1}    1.06{col 50}{space 3}0.296{col 58}{space 4}-16.75005{col 71}{space 3} 53.24904
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 6.584505{col 30}{space 2} 7.326397{col 41}{space 1}    0.90{col 50}{space 3}0.376{col 58}{space 4}-8.357781{col 71}{space 3} 21.52679
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 27.04018{col 30}{space 2} 18.42062{col 41}{space 1}    1.47{col 50}{space 3}0.152{col 58}{space 4}-10.52892{col 71}{space 3} 64.60928
{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}  12.782
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0003
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  62.386
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  84.873
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}84.87303

{txt}added scalar:
             e(mean_y) =  {res}22.249573
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    6.05
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5514.142028{txt}{col 55}Centered R2   = {res}  0.0707
{txt}Total (uncentered) SS   = {res} 5514.142028{txt}{col 55}Uncentered R2 = {res}  0.0707
{txt}Residual SS             = {res} 5124.462072{txt}{col 55}Root MSE      = {res}   3.518

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2}-.0813194{col 30}{space 2} .3193208{col 41}{space 1}   -0.25{col 50}{space 3}0.801{col 58}{space 4}-.7325784{col 71}{space 3} .5699397
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0436864{col 30}{space 2}  .060173{col 41}{space 1}    0.73{col 50}{space 3}0.473{col 58}{space 4}-.0790373{col 71}{space 3} .1664101
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0250443{col 30}{space 2} .0844848{col 41}{space 1}   -0.30{col 50}{space 3}0.769{col 58}{space 4}-.1973521{col 71}{space 3} .1472635
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0441244{col 30}{space 2} .0716509{col 41}{space 1}   -0.62{col 50}{space 3}0.543{col 58}{space 4}-.1902574{col 71}{space 3} .1020086
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .2216293{col 30}{space 2} .0578622{col 41}{space 1}    3.83{col 50}{space 3}0.001{col 58}{space 4} .1036186{col 71}{space 3} .3396401
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2106.909{col 30}{space 2} 1029.314{col 41}{space 1}   -2.05{col 50}{space 3}0.049{col 58}{space 4}-4206.209{col 71}{space 3}-7.609146
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1377.034{col 30}{space 2} 488.2173{col 41}{space 1}   -2.82{col 50}{space 3}0.008{col 58}{space 4} -2372.76{col 71}{space 3}-381.3086
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 19.52031{col 30}{space 2} 10.35726{col 41}{space 1}    1.88{col 50}{space 3}0.069{col 58}{space 4}-1.603462{col 71}{space 3} 40.64408
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.329232{col 30}{space 2} 4.325475{col 41}{space 1}   -0.31{col 50}{space 3}0.761{col 58}{space 4} -10.1511{col 71}{space 3} 7.492633
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 28.42507{col 30}{space 2} 9.636075{col 41}{space 1}    2.95{col 50}{space 3}0.006{col 58}{space 4} 8.772162{col 71}{space 3} 48.07797
{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}  13.996
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0002
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  69.687
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  88.799
{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_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}88.798531

{txt}added scalar:
             e(mean_y) =  {res}14.88564
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    6.20
{txt}{col 55}Prob > F      = {res}  0.0000
{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} 7108.818989{txt}{col 55}Root MSE      = {res}   4.144

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} .1965919{col 30}{space 2} .5041418{col 41}{space 1}    0.39{col 50}{space 3}0.699{col 58}{space 4}-.8316121{col 71}{space 3} 1.224796
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0381897{col 30}{space 2} .0497032{col 41}{space 1}    0.77{col 50}{space 3}0.448{col 58}{space 4}-.0631806{col 71}{space 3} .1395601
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.011026{col 30}{space 2} .1317377{col 41}{space 1}   -0.08{col 50}{space 3}0.934{col 58}{space 4}-.2797068{col 71}{space 3} .2576547
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0758691{col 30}{space 2}  .104538{col 41}{space 1}    0.73{col 50}{space 3}0.473{col 58}{space 4}-.1373376{col 71}{space 3} .2890758
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .2238116{col 30}{space 2} .0702586{col 41}{space 1}    3.19{col 50}{space 3}0.003{col 58}{space 4} .0805183{col 71}{space 3}  .367105
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3104.344{col 30}{space 2}  1016.07{col 41}{space 1}   -3.06{col 50}{space 3}0.005{col 58}{space 4}-5176.632{col 71}{space 3}-1032.057
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1694.282{col 30}{space 2} 644.1658{col 41}{space 1}   -2.63{col 50}{space 3}0.013{col 58}{space 4}-3008.067{col 71}{space 3}-380.4976
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 29.30086{col 30}{space 2} 10.51123{col 41}{space 1}    2.79{col 50}{space 3}0.009{col 58}{space 4} 7.863078{col 71}{space 3} 50.73865
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.8549659{col 30}{space 2} 4.881855{col 41}{space 1}   -0.18{col 50}{space 3}0.862{col 58}{space 4}-10.81158{col 71}{space 3} 9.101643
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 34.80003{col 30}{space 2} 13.25562{col 41}{space 1}    2.63{col 50}{space 3}0.013{col 58}{space 4} 7.765007{col 71}{space 3} 61.83505
{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}  16.628
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  65.997
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 100.914
{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_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}100.91409

{txt}added scalar:
             e(mean_y) =  {res}23.237011
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    2.82
{txt}{col 55}Prob > F      = {res}  0.0129
{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} 8666.604214{txt}{col 55}Root MSE      = {res}   4.575

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} .0952172{col 30}{space 2} .6107176{col 41}{space 1}    0.16{col 50}{space 3}0.877{col 58}{space 4} -1.15035{col 71}{space 3} 1.340784
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1129106{col 30}{space 2} .0581173{col 41}{space 1}    1.94{col 50}{space 3}0.061{col 58}{space 4}-.0056205{col 71}{space 3} .2314416
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0231596{col 30}{space 2} .0939288{col 41}{space 1}   -0.25{col 50}{space 3}0.807{col 58}{space 4}-.2147287{col 71}{space 3} .1684095
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .1297421{col 30}{space 2} .0951128{col 41}{space 1}    1.36{col 50}{space 3}0.182{col 58}{space 4}-.0642417{col 71}{space 3} .3237258
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .0700552{col 30}{space 2} .0628709{col 41}{space 1}    1.11{col 50}{space 3}0.274{col 58}{space 4}-.0581709{col 71}{space 3} .1982813
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-426.3827{col 30}{space 2} 2079.482{col 41}{space 1}   -0.21{col 50}{space 3}0.839{col 58}{space 4}-4667.514{col 71}{space 3} 3814.749
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-943.3212{col 30}{space 2}  966.656{col 41}{space 1}   -0.98{col 50}{space 3}0.337{col 58}{space 4}-2914.829{col 71}{space 3} 1028.187
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 3.124645{col 30}{space 2} 20.91836{col 41}{space 1}    0.15{col 50}{space 3}0.882{col 58}{space 4}-39.53862{col 71}{space 3} 45.78791
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.423783{col 30}{space 2} 4.092902{col 41}{space 1}    0.35{col 50}{space 3}0.730{col 58}{space 4}-6.923746{col 71}{space 3} 9.771312
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 18.77598{col 30}{space 2} 19.76541{col 41}{space 1}    0.95{col 50}{space 3}0.349{col 58}{space 4}-21.53583{col 71}{space 3} 59.08779
{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}  16.218
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0001
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  66.832
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  97.583
{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_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}97.582872

{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}.         
.         ivreghdfe perc_bna_ins (perc_i_1908_1913 = perc_e_1908_1913) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_i_1914_1927 /// 
>                 $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_ABST
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_bna_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}. 
. {c )-}
{res}{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    7.84
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 11796.59426{txt}{col 55}Centered R2   = {res}  0.0557
{txt}Total (uncentered) SS   = {res} 11796.59426{txt}{col 55}Uncentered R2 = {res}  0.0557
{txt}Residual SS             = {res} 11139.02696{txt}{col 55}Root MSE      = {res}   5.181

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} 1.642131{col 30}{space 2} .5524701{col 41}{space 1}    2.97{col 50}{space 3}0.006{col 58}{space 4} .5153612{col 71}{space 3} 2.768901
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1562186{col 30}{space 2} .0675493{col 41}{space 1}   -2.31{col 50}{space 3}0.028{col 58}{space 4}-.2939863{col 71}{space 3}-.0184509
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1364914{col 30}{space 2} .1517154{col 41}{space 1}    0.90{col 50}{space 3}0.375{col 58}{space 4}-.1729342{col 71}{space 3} .4459171
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.4072326{col 30}{space 2} .1932296{col 41}{space 1}   -2.11{col 50}{space 3}0.043{col 58}{space 4} -.801327{col 71}{space 3}-.0131382
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .1353247{col 30}{space 2} .1113421{col 41}{space 1}    1.22{col 50}{space 3}0.233{col 58}{space 4}-.0917591{col 71}{space 3} .3624084
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 29.54983{col 30}{space 2} 2769.777{col 41}{space 1}    0.01{col 50}{space 3}0.992{col 58}{space 4}-5619.448{col 71}{space 3} 5678.548
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}  689.168{col 30}{space 2} 913.7724{col 41}{space 1}    0.75{col 50}{space 3}0.456{col 58}{space 4}-1174.483{col 71}{space 3} 2552.819
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .7665992{col 30}{space 2} 27.61652{col 41}{space 1}    0.03{col 50}{space 3}0.978{col 58}{space 4}-55.55767{col 71}{space 3} 57.09087
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.4988225{col 30}{space 2} 5.009871{col 41}{space 1}   -0.10{col 50}{space 3}0.921{col 58}{space 4}-10.71652{col 71}{space 3} 9.718876
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-14.05292{col 30}{space 2} 18.18328{col 41}{space 1}   -0.77{col 50}{space 3}0.445{col 58}{space 4}-51.13795{col 71}{space 3} 23.03212
{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}  13.648
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0002
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  67.396
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  97.458
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}97.458131

{txt}added scalar:
             e(mean_y) =  {res}15.28727
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    3.78
{txt}{col 55}Prob > F      = {res}  0.0021
{txt}Total (centered) SS     = {res} 18676.55415{txt}{col 55}Centered R2   = {res} -0.0442
{txt}Total (uncentered) SS   = {res} 18676.55415{txt}{col 55}Uncentered R2 = {res} -0.0442
{txt}Residual SS             = {res} 19502.79479{txt}{col 55}Root MSE      = {res}   6.855

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} 2.457779{col 30}{space 2} .9258306{col 41}{space 1}    2.65{col 50}{space 3}0.012{col 58}{space 4} .5695347{col 71}{space 3} 4.346023
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} -.092749{col 30}{space 2} .1066261{col 41}{space 1}   -0.87{col 50}{space 3}0.391{col 58}{space 4}-.3102143{col 71}{space 3} .1247163
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1363419{col 30}{space 2} .1495954{col 41}{space 1}    0.91{col 50}{space 3}0.369{col 58}{space 4}-.1687598{col 71}{space 3} .4414437
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.3609869{col 30}{space 2} .2204043{col 41}{space 1}   -1.64{col 50}{space 3}0.112{col 58}{space 4}-.8105045{col 71}{space 3} .0885307
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .1540588{col 30}{space 2} .1923457{col 41}{space 1}    0.80{col 50}{space 3}0.429{col 58}{space 4}-.2382327{col 71}{space 3} .5463504
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 745.9656{col 30}{space 2} 2695.278{col 41}{space 1}    0.28{col 50}{space 3}0.784{col 58}{space 4}-4751.089{col 71}{space 3} 6243.021
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 7.749073{col 30}{space 2} 1047.848{col 41}{space 1}    0.01{col 50}{space 3}0.994{col 58}{space 4}-2129.351{col 71}{space 3} 2144.849
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} -7.64409{col 30}{space 2} 27.47847{col 41}{space 1}   -0.28{col 50}{space 3}0.783{col 58}{space 4} -63.6868{col 71}{space 3} 48.39862
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.598813{col 30}{space 2} 7.559781{col 41}{space 1}   -0.74{col 50}{space 3}0.465{col 58}{space 4}-21.01709{col 71}{space 3} 9.819461
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 1.240012{col 30}{space 2} 20.42647{col 41}{space 1}    0.06{col 50}{space 3}0.952{col 58}{space 4}-40.42005{col 71}{space 3} 42.90007
{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}  13.581
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0002
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  67.789
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 101.827
{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_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}101.82731

{txt}added scalar:
             e(mean_y) =  {res}23.6278
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    2.90
{txt}{col 55}Prob > F      = {res}  0.0110
{txt}Total (centered) SS     = {res} 8937.800927{txt}{col 55}Centered R2   = {res} -0.0028
{txt}Total (uncentered) SS   = {res} 8937.800927{txt}{col 55}Uncentered R2 = {res} -0.0028
{txt}Residual SS             = {res} 8963.170487{txt}{col 55}Root MSE      = {res}   4.647

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} 1.305189{col 30}{space 2} .5923546{col 41}{space 1}    2.20{col 50}{space 3}0.035{col 58}{space 4} .0970742{col 71}{space 3} 2.513304
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0216303{col 30}{space 2} .0813822{col 41}{space 1}   -0.27{col 50}{space 3}0.792{col 58}{space 4}-.1876104{col 71}{space 3} .1443498
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0493313{col 30}{space 2} .1314512{col 41}{space 1}   -0.38{col 50}{space 3}0.710{col 58}{space 4}-.3174277{col 71}{space 3} .2187652
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0492249{col 30}{space 2} .1270907{col 41}{space 1}   -0.39{col 50}{space 3}0.701{col 58}{space 4}-.3084281{col 71}{space 3} .2099784
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .1701619{col 30}{space 2} .1067402{col 41}{space 1}    1.59{col 50}{space 3}0.121{col 58}{space 4}-.0475361{col 71}{space 3}   .38786
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}  -474.54{col 30}{space 2} 1272.266{col 41}{space 1}   -0.37{col 50}{space 3}0.712{col 58}{space 4}-3069.344{col 71}{space 3} 2120.264
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1482.959{col 30}{space 2} 528.0633{col 41}{space 1}   -2.81{col 50}{space 3}0.009{col 58}{space 4}-2559.951{col 71}{space 3}-405.9665
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 2.604266{col 30}{space 2} 12.95404{col 41}{space 1}    0.20{col 50}{space 3}0.842{col 58}{space 4}-23.81567{col 71}{space 3}  29.0242
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}    -4.14{col 30}{space 2} 4.473857{col 41}{space 1}   -0.93{col 50}{space 3}0.362{col 58}{space 4}-13.26449{col 71}{space 3} 4.984493
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 31.47667{col 30}{space 2}  10.4468{col 41}{space 1}    3.01{col 50}{space 3}0.005{col 58}{space 4} 10.17027{col 71}{space 3} 52.78306
{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}  13.779
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0002
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  63.151
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  80.435
{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_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}80.4352

{txt}added scalar:
             e(mean_y) =  {res}17.065947
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    1.10
{txt}{col 55}Prob > F      = {res}  0.3959
{txt}Total (centered) SS     = {res} 6008.066893{txt}{col 55}Centered R2   = {res} -0.0022
{txt}Total (uncentered) SS   = {res} 6008.066893{txt}{col 55}Uncentered R2 = {res} -0.0022
{txt}Residual SS             = {res} 6021.212411{txt}{col 55}Root MSE      = {res}   3.814

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2}-.2807075{col 30}{space 2} .4044604{col 41}{space 1}   -0.69{col 50}{space 3}0.493{col 58}{space 4} -1.10561{col 71}{space 3}  .544195
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0673119{col 30}{space 2} .0638882{col 41}{space 1}    1.05{col 50}{space 3}0.300{col 58}{space 4} -.062989{col 71}{space 3} .1976128
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0031439{col 30}{space 2} .1104348{col 41}{space 1}    0.03{col 50}{space 3}0.977{col 58}{space 4}-.2220895{col 71}{space 3} .2283772
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1141068{col 30}{space 2} .0654111{col 41}{space 1}   -1.74{col 50}{space 3}0.091{col 58}{space 4}-.2475136{col 71}{space 3}    .0193
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .0271131{col 30}{space 2} .0540948{col 41}{space 1}    0.50{col 50}{space 3}0.620{col 58}{space 4} -.083214{col 71}{space 3} .1374402
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2355.019{col 30}{space 2} 2100.003{col 41}{space 1}   -1.12{col 50}{space 3}0.271{col 58}{space 4}-6638.003{col 71}{space 3} 1927.965
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-206.0991{col 30}{space 2} 618.4077{col 41}{space 1}   -0.33{col 50}{space 3}0.741{col 58}{space 4} -1467.35{col 71}{space 3} 1055.152
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 23.91576{col 30}{space 2}  21.0376{col 41}{space 1}    1.14{col 50}{space 3}0.264{col 58}{space 4} -18.9907{col 71}{space 3} 66.82223
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.879629{col 30}{space 2} 3.556662{col 41}{space 1}    0.53{col 50}{space 3}0.601{col 58}{space 4}-5.374232{col 71}{space 3} 9.133489
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 3.725409{col 30}{space 2} 12.54657{col 41}{space 1}    0.30{col 50}{space 3}0.769{col 58}{space 4}-21.86348{col 71}{space 3}  29.3143
{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}  13.144
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0003
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  61.500
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  84.994
{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_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}84.994339

{txt}added scalar:
             e(mean_y) =  {res}19.787649
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    3.20
{txt}{col 55}Prob > F      = {res}  0.0063
{txt}Total (centered) SS     = {res} 8951.441339{txt}{col 55}Centered R2   = {res} -0.0474
{txt}Total (uncentered) SS   = {res} 8951.441339{txt}{col 55}Uncentered R2 = {res} -0.0474
{txt}Residual SS             = {res} 9375.642204{txt}{col 55}Root MSE      = {res}   4.759

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2}-1.407975{col 30}{space 2} .5560493{col 41}{space 1}   -2.53{col 50}{space 3}0.017{col 58}{space 4}-2.542045{col 71}{space 3}-.2739047
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .019722{col 30}{space 2} .0975472{col 41}{space 1}    0.20{col 50}{space 3}0.841{col 58}{space 4}-.1792267{col 71}{space 3} .2186707
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0168829{col 30}{space 2} .0844006{col 41}{space 1}   -0.20{col 50}{space 3}0.843{col 58}{space 4} -.189019{col 71}{space 3} .1552532
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.047537{col 30}{space 2}  .123305{col 41}{space 1}   -0.39{col 50}{space 3}0.702{col 58}{space 4}-.2990191{col 71}{space 3} .2039452
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .1572616{col 30}{space 2} .0716287{col 41}{space 1}    2.20{col 50}{space 3}0.036{col 58}{space 4} .0111739{col 71}{space 3} .3033493
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-93.81362{col 30}{space 2}  1821.23{col 41}{space 1}   -0.05{col 50}{space 3}0.959{col 58}{space 4}-3808.236{col 71}{space 3} 3620.609
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-984.6151{col 30}{space 2} 780.4237{col 41}{space 1}   -1.26{col 50}{space 3}0.216{col 58}{space 4}  -2576.3{col 71}{space 3} 607.0696
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} -.507469{col 30}{space 2}  18.7908{col 41}{space 1}   -0.03{col 50}{space 3}0.979{col 58}{space 4}-38.83156{col 71}{space 3} 37.81662
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} -3.46398{col 30}{space 2}  4.51202{col 41}{space 1}   -0.77{col 50}{space 3}0.448{col 58}{space 4} -12.6663{col 71}{space 3} 5.738345
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 21.20026{col 30}{space 2} 16.08376{col 41}{space 1}    1.32{col 50}{space 3}0.197{col 58}{space 4}-11.60278{col 71}{space 3}  54.0033
{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}  12.782
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0003
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  62.386
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  84.873
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}84.87303

{txt}added scalar:
             e(mean_y) =  {res}28.387391
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    1.75
{txt}{col 55}Prob > F      = {res}  0.1142
{txt}Total (centered) SS     = {res} 4170.341767{txt}{col 55}Centered R2   = {res} -0.0270
{txt}Total (uncentered) SS   = {res} 4170.341767{txt}{col 55}Uncentered R2 = {res} -0.0270
{txt}Residual SS             = {res} 4282.762596{txt}{col 55}Root MSE      = {res}   3.216

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} .7487674{col 30}{space 2} .2805817{col 41}{space 1}    2.67{col 50}{space 3}0.012{col 58}{space 4} .1765171{col 71}{space 3} 1.321018
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0115823{col 30}{space 2}  .066785{col 41}{space 1}    0.17{col 50}{space 3}0.863{col 58}{space 4}-.1246267{col 71}{space 3} .1477913
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0133735{col 30}{space 2} .0710465{col 41}{space 1}   -0.19{col 50}{space 3}0.852{col 58}{space 4}-.1582738{col 71}{space 3} .1315269
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0083561{col 30}{space 2} .0703287{col 41}{space 1}   -0.12{col 50}{space 3}0.906{col 58}{space 4}-.1517924{col 71}{space 3} .1350803
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2}-.0542586{col 30}{space 2} .0514616{col 41}{space 1}   -1.05{col 50}{space 3}0.300{col 58}{space 4}-.1592152{col 71}{space 3}  .050698
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -1229.23{col 30}{space 2} 1422.961{col 41}{space 1}   -0.86{col 50}{space 3}0.394{col 58}{space 4}-4131.377{col 71}{space 3} 1672.918
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-888.1315{col 30}{space 2} 439.2375{col 41}{space 1}   -2.02{col 50}{space 3}0.052{col 58}{space 4}-1783.962{col 71}{space 3} 7.699259
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 11.48489{col 30}{space 2} 14.41537{col 41}{space 1}    0.80{col 50}{space 3}0.432{col 58}{space 4}-17.91545{col 71}{space 3} 40.88524
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 9.199281{col 30}{space 2} 3.534883{col 41}{space 1}    2.60{col 50}{space 3}0.014{col 58}{space 4}  1.98984{col 71}{space 3} 16.40872
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 15.44063{col 30}{space 2} 8.442491{col 41}{space 1}    1.83{col 50}{space 3}0.077{col 58}{space 4}-1.777946{col 71}{space 3}  32.6592
{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}  13.996
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0002
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  69.687
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  88.799
{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_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}88.798531

{txt}added scalar:
             e(mean_y) =  {res}16.72891
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    2.17
{txt}{col 55}Prob > F      = {res}  0.0481
{txt}Total (centered) SS     = {res} 5094.179372{txt}{col 55}Centered R2   = {res}  0.0267
{txt}Total (uncentered) SS   = {res} 5094.179372{txt}{col 55}Uncentered R2 = {res}  0.0267
{txt}Residual SS             = {res} 4958.377853{txt}{col 55}Root MSE      = {res}   3.461

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} .2765138{col 30}{space 2}  .438339{col 41}{space 1}    0.63{col 50}{space 3}0.533{col 58}{space 4}-.6174845{col 71}{space 3} 1.170512
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .002699{col 30}{space 2} .0805274{col 41}{space 1}    0.03{col 50}{space 3}0.973{col 58}{space 4}-.1615377{col 71}{space 3} .1669357
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0540753{col 30}{space 2} .0971189{col 41}{space 1}   -0.56{col 50}{space 3}0.582{col 58}{space 4}-.2521506{col 71}{space 3}     .144
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0315942{col 30}{space 2} .0942711{col 41}{space 1}   -0.34{col 50}{space 3}0.740{col 58}{space 4}-.2238615{col 71}{space 3}  .160673
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2} .0364824{col 30}{space 2} .0475273{col 41}{space 1}    0.77{col 50}{space 3}0.449{col 58}{space 4}-.0604502{col 71}{space 3}  .133415
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-127.2868{col 30}{space 2} 933.0673{col 41}{space 1}   -0.14{col 50}{space 3}0.892{col 58}{space 4} -2030.29{col 71}{space 3} 1775.716
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1107.418{col 30}{space 2} 452.8284{col 41}{space 1}   -2.45{col 50}{space 3}0.020{col 58}{space 4}-2030.967{col 71}{space 3}-183.8681
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-.2582688{col 30}{space 2} 9.384377{col 41}{space 1}   -0.03{col 50}{space 3}0.978{col 58}{space 4}-19.39783{col 71}{space 3} 18.88129
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 4.238459{col 30}{space 2} 3.943644{col 41}{space 1}    1.07{col 50}{space 3}0.291{col 58}{space 4}-3.804657{col 71}{space 3} 12.28157
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 21.32931{col 30}{space 2} 9.047766{col 41}{space 1}    2.36{col 50}{space 3}0.025{col 58}{space 4} 2.876269{col 71}{space 3} 39.78235
{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}  16.628
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  65.997
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 100.914
{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_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}100.91409

{txt}added scalar:
             e(mean_y) =  {res}19.41339
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #20{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}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( 10,    31) = {res}    1.98
{txt}{col 55}Prob > F      = {res}  0.0714
{txt}Total (centered) SS     = {res}  6125.33048{txt}{col 55}Centered R2   = {res}  0.0194
{txt}Total (uncentered) SS   = {res}  6125.33048{txt}{col 55}Uncentered R2 = {res}  0.0194
{txt}Residual SS             = {res}  6006.21564{txt}{col 55}Root MSE      = {res}   3.809

{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}
perc_i_1908_1913 {c |}{col 18}{res}{space 2} .5982613{col 30}{space 2} .3723523{col 41}{space 1}    1.61{col 50}{space 3}0.118{col 58}{space 4}-.1611562{col 71}{space 3} 1.357679
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0964817{col 30}{space 2} .0594255{col 41}{space 1}   -1.62{col 50}{space 3}0.115{col 58}{space 4}-.2176808{col 71}{space 3} .0247175
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0741245{col 30}{space 2} .0758169{col 41}{space 1}    0.98{col 50}{space 3}0.336{col 58}{space 4}-.0805052{col 71}{space 3} .2287541
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0937103{col 30}{space 2} .1059757{col 41}{space 1}   -0.88{col 50}{space 3}0.383{col 58}{space 4}-.3098492{col 71}{space 3} .1224286
{txt}perc_i_1914_1927 {c |}{col 18}{res}{space 2}-.0818219{col 30}{space 2} .0572678{col 41}{space 1}   -1.43{col 50}{space 3}0.163{col 58}{space 4}-.1986204{col 71}{space 3} .0349765
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2199.666{col 30}{space 2} 1671.674{col 41}{space 1}   -1.32{col 50}{space 3}0.198{col 58}{space 4}-5609.067{col 71}{space 3} 1209.735
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -946.258{col 30}{space 2} 559.6853{col 41}{space 1}   -1.69{col 50}{space 3}0.101{col 58}{space 4}-2087.744{col 71}{space 3} 195.2276
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 21.29831{col 30}{space 2} 16.83582{col 41}{space 1}    1.27{col 50}{space 3}0.215{col 58}{space 4}-13.03857{col 71}{space 3}  55.6352
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 6.850148{col 30}{space 2} 3.583137{col 41}{space 1}    1.91{col 50}{space 3}0.065{col 58}{space 4}-.4577089{col 71}{space 3}   14.158
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 17.19412{col 30}{space 2} 11.05493{col 41}{space 1}    1.56{col 50}{space 3}0.130{col 58}{space 4}-5.352562{col 71}{space 3} 39.74079
{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}  16.218
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0001
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  66.832
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  97.583
{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_1908_1913
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}perc_i_1914_1927 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1913
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     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}added scalar:
               e(F_fs) =  {res}97.582872

{txt}added scalar:
             e(mean_y) =  {res}20.639399
{txt}
{com}. 
. estfe . P*, labels(dialect_lux "Historical dialects")
{res}{txt}
{com}. return list

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

{com}. 
. ******************************
. ***** 2. TABLE FOR PAPER *****
. ******************************
. 
. // Labels
. 
. la var perc_e_1908_1913 "\\ Eligible births 1908-1913 (\%)"
{txt}
{com}. la var perc_i_1914_1927 "[0.3em] Conscription proxy 1914-1927 (\%)"
{txt}
{com}. la var perc_i_1908_1913 "\\ Conscription proxy 1908-1913 (\%)"
{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(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_e_1908_1913 perc_i_1914_1927) ///
>         order(perc_e_1908_1913 perc_i_1914_1927) ///
>         title(Abstention and the radical right-wing vote: Instrumenting 1908-1913 conscription) ///
>         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 1908-1913 (\%){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
\begin{c -(}table{c )-}[t!]
\begin{c -(}center{c )-}
\begin{c -(}threeparttable{c )-}
\begin{c -(}scriptsize{c )-}
\caption{c -(}Abstention and the radical right-wing vote: Instrumenting 1908-1913 conscription\label{c -(}EEREV-D-21-00004_TableC7{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 1908-1913 (\%){c )-}\\
\hline
\\ Eligible births 1908-1913 (\%)&       0.139***&       0.140***&       0.135***&       0.136***&       0.133***&       0.139***&       0.143***&       0.143***\\
                    &     (0.014)   &     (0.014)   &     (0.015)   &     (0.015)   &     (0.014)   &     (0.015)   &     (0.014)   &     (0.014)   \\
[0.3em] Conscription proxy 1914-1927 (\%)&       0.034*  &       0.033*  &       0.037*  &       0.034   &       0.036*  &       0.039*  &       0.034*  &       0.033*  \\
                    &     (0.020)   &     (0.019)   &     (0.021)   &     (0.020)   &     (0.019)   &     (0.021)   &     (0.020)   &     (0.019)   \\

\\ Mean dep. variable&        0.90   &        0.90   &        0.90   &        0.90   &        0.90   &        0.90   &        0.90   &        0.90   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC7.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_1908_1913 perc_i_1914_1927) ///
>         order(perc_i_1908_1913 perc_i_1914_1927) ///
>         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 1908-1913 (\%)&     --0.136   &               &       0.025   &       1.859** &       1.213*  &     --0.081   &       0.197   &       0.095   \\
                    &     (0.203)   &               &     (0.030)   &     (0.792)   &     (0.655)   &     (0.319)   &     (0.504)   &     (0.611)   \\
[0.3em] Conscription proxy 1914-1927 (\%)&       0.032   &               &     --0.005   &       0.081   &       0.058   &       0.222***&       0.224***&       0.070   \\
                    &     (0.021)   &               &     (0.005)   &     (0.097)   &     (0.097)   &     (0.058)   &     (0.070)   &     (0.063)   \\

\\ 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_TableC7.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_1908_1913 perc_i_1914_1927) ///
>         order(perc_i_1908_1913 perc_i_1914_1927) ///
>         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 1908-1913 (\%)&       1.642***&       2.458** &       1.305** &     --0.281   &     --1.408** &       0.749** &       0.277   &       0.598   \\
                    &     (0.552)   &     (0.926)   &     (0.592)   &     (0.404)   &     (0.556)   &     (0.281)   &     (0.438)   &     (0.372)   \\
[0.3em] Conscription proxy 1914-1927 (\%)&       0.135   &       0.154   &       0.170   &       0.027   &       0.157** &     --0.054   &       0.036   &     --0.082   \\
                    &     (0.111)   &     (0.192)   &     (0.107)   &     (0.054)   &     (0.072)   &     (0.051)   &     (0.048)   &     (0.057)   \\

\\ 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_TableC7.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(F_fs N N_clust, lab("First-stage $ F $-statistic" "Observations" "Clusters") fmt(2 0 0)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         drop(*) ///     
>         indicate( ///   
>         "Border segment FE = 0.borderfe25" ///
>         "Historical dialect FE = 0.dialect_lux" ///
>         "Full set of controls = perc_b_1903_1912" ///
>         , labels(Yes )) ///
>         prehead("\\ Lat-lon polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ ") ///
>         posthead("") ///
>         prefoot("\hline") ///
>         postfoot("\hline" "\hline" ///
>         "\end{c -(}tabular*{c )-}" /// 
>         "\end{c -(}scriptsize{c )-}" ///
>         "\begin{c -(}tablenotes{c )-}[normal,flushleft]" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\item \emph{c -(}Notes{c )-}:" /// 
>         "2SLS estimates of the effect of 1908-1913 conscription into the Wehrmacht on support for radical right-wing candidates and on abstention. " ///
>         "The unit of observation is a municipality. " ///
>         "Standard errors clustered at the canton level in parentheses. " ///
>         "Panel A: 2SLS estimates with radical right-wing vote as the outcome; " ///
>         "Panel B: 2SLS estimates abstention as the outcome. " ///
>         "Each column presents the estimation for a different election. " ///
>         "All specifications include a quadratic polynomial in latitude and longitude ($ x+y+x^2+y^2+xy $). " ///
>         "First-stage F-statistic is the Kleibergen-Paap rk Wald F-statistic of the first-stage estimation. " ///
>         "* significant at 10\%; ** at 5\%; *** at 1\%. " ///    
>         "\end{c -(}scriptsize{c )-}" ///
>         "\end{c -(}tablenotes{c )-}" ///
>         "\end{c -(}threeparttable{c )-}" ///
>         "\end{c -(}center{c )-}" ///
>         "\end{c -(}table{c )-}")
{res}
\\ Lat-lon polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ 

Border segment FE   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Historical dialect FE &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Full set of controls &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
\hline
First-stage $ F $-statistic&       97.46   &      101.83   &       80.44   &       84.99   &       84.87   &       88.80   &      100.91   &       97.58   \\
Observations        &         462   &         462   &         462   &         462   &         462   &         462   &         462   &         462   \\
Clusters            &          32   &          32   &          32   &          32   &          32   &          32   &          32   &          32   \\
\hline
\hline
\end{c -(}tabular*{c )-}
\end{c -(}scriptsize{c )-}
\begin{c -(}tablenotes{c )-}[normal,flushleft]
\begin{c -(}scriptsize{c )-}
\item \emph{c -(}Notes{c )-}:
2SLS estimates of the effect of 1908-1913 conscription into the Wehrmacht on support for radical right-wing candidates and on abstention. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panel A: 2SLS estimates with radical right-wing vote as the outcome; 
Panel B: 2SLS estimates abstention as the outcome. 
Each column presents the estimation for a different election. 
All specifications include a quadratic polynomial in latitude and longitude ($ x+y+x^2+y^2+xy $). 
First-stage F-statistic is the Kleibergen-Paap rk Wald F-statistic of the first-stage estimation. 
* significant at 10\%; ** at 5\%; *** at 1\%. 
\end{c -(}scriptsize{c )-}
\end{c -(}tablenotes{c )-}
\end{c -(}threeparttable{c )-}
\end{c -(}center{c )-}
\end{c -(}table{c )-}
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC7.tex"'})

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