{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE C2 ****
. 
. clear all
{res}{txt}
{com}. set mem 2g
{txt}{bf:set memory} ignored.
{p 4 4 2}
Memory no longer
needs to be set in modern Statas;
memory adjustments are performed on the fly
automatically.
{p_end}

{com}. set more off
{txt}
{com}. 
. /*      
>         OUTLINE
>         1. REGRESSIONS
>         2. TABLE FOR PAPER
> */
. 
. **************************
. ***** 1. REGRESSIONS *****
. **************************
. 
. // Import data
. 
. use $data\EEREV-D-21-00004_Data_Municipalities.dta, clear
{txt}
{com}. 
. // Macros
. 
. global geogr_endow                      "water lelevation_mean lelevation_std ldist_de" 
{txt}
{com}. global pop                                      "perc_b_1928_1945 perc_b_1946_1964 perc_b_1965_1980 perc_b_1981_1996 perc_male_counter"
{txt}
{com}. global demog_chara                      "lpop_counter perc_fore $pop"
{txt}
{com}. global socec_aspec                      "perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd"
{txt}
{com}. 
. // Control vectors
. 
. global sigma                            "perc_prot_church pop_jew p_french_name lpop_1936 perc_fore_1936 perc_dial_1936 perc_disp_1946 $geogr_endow perc_droi_1936_ins"
{txt}
{com}. global w                                        "$demog_chara $socec_aspec"
{txt}
{com}. global dialect                          "dialect_lux dialect_mos dialect_rhe dialect_pal dialect_als dialect_hau dialect_lor dialect_fra"
{txt}
{com}. 
. // Controls vector
. 
. global rdd2                             "rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon"
{txt}
{com}. 
. // Generate split
. 
. g split=1*(sample==1 & perc_prot_church<25)
{txt}
{com}. 
. // Reduced form RRW
. 
. 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_RF
{txt}  4{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}
{com}. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(} // 2003 2018
{txt}  2{com}.         
.         ivreghdfe perc_voixexd_ins perc_e_1908_1927 c.perc_e_1908_1927#c.split ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w) //
{txt}  3{com}.                 
.         estimates store P`year'T1_VOTE_RF
{txt}  4{com}. 
. {c )-}
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    1.19
{txt}{col 55}Prob > F      = {res}  0.3320
{txt}Total (centered) SS     = {res} 617.1098426{txt}{col 55}Centered R2   = {res}  0.0406
{txt}Total (uncentered) SS   = {res} 617.1098426{txt}{col 55}Uncentered R2 = {res}  0.0406
{txt}Residual SS             = {res} 592.0421917{txt}{col 55}Root MSE      = {res}   1.192

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          perc_voixexd_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2}-.0155748{col 40}{space 2} .0278898{col 51}{space 1}   -0.56{col 60}{space 3}0.581{col 68}{space 4}-.0724564{col 81}{space 3} .0413068
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2}-.0052949{col 40}{space 2} .0092062{col 51}{space 1}   -0.58{col 60}{space 3}0.569{col 68}{space 4}-.0240711{col 81}{space 3} .0134812
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2} .0253738{col 40}{space 2} .0225054{col 51}{space 1}    1.13{col 60}{space 3}0.268{col 68}{space 4}-.0205264{col 81}{space 3} .0712739
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2} .0548037{col 40}{space 2}  .033697{col 51}{space 1}    1.63{col 60}{space 3}0.114{col 68}{space 4}-.0139219{col 81}{space 3} .1235293
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2}-.0761668{col 40}{space 2} .0376438{col 51}{space 1}   -2.02{col 60}{space 3}0.052{col 68}{space 4}-.1529419{col 81}{space 3} .0006083
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2}-692.9459{col 40}{space 2} 587.0681{col 51}{space 1}   -1.18{col 60}{space 3}0.247{col 68}{space 4}-1890.279{col 81}{space 3} 504.3874
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2} 219.9967{col 40}{space 2}  146.954{col 51}{space 1}    1.50{col 60}{space 3}0.144{col 68}{space 4}-79.71796{col 81}{space 3} 519.7113
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} 7.457239{col 40}{space 2} 6.004106{col 51}{space 1}    1.24{col 60}{space 3}0.224{col 68}{space 4}-4.788216{col 81}{space 3} 19.70269
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2} .7827788{col 40}{space 2} 1.254101{col 51}{space 1}    0.62{col 60}{space 3}0.537{col 68}{space 4}-1.774978{col 81}{space 3} 3.340535
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2}-4.715366{col 40}{space 2}  3.01784{col 51}{space 1}   -1.56{col 60}{space 3}0.128{col 68}{space 4}-10.87029{col 81}{space 3}  1.43956
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    0.96
{txt}{col 55}Prob > F      = {res}  0.4936
{txt}Total (centered) SS     = {res} 73.62421611{txt}{col 55}Centered R2   = {res}  0.0164
{txt}Total (uncentered) SS   = {res} 73.62421611{txt}{col 55}Uncentered R2 = {res}  0.0164
{txt}Residual SS             = {res} 72.41972896{txt}{col 55}Root MSE      = {res}   .4167

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          perc_voixexd_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2} .0028882{col 40}{space 2} .0042901{col 51}{space 1}    0.67{col 60}{space 3}0.506{col 68}{space 4}-.0058615{col 81}{space 3} .0116379
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2} .0002307{col 40}{space 2} .0035153{col 51}{space 1}    0.07{col 60}{space 3}0.948{col 68}{space 4}-.0069388{col 81}{space 3} .0074002
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2} .0057492{col 40}{space 2} .0054024{col 51}{space 1}    1.06{col 60}{space 3}0.295{col 68}{space 4}-.0052691{col 81}{space 3} .0167675
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2}-.0117567{col 40}{space 2} .0094408{col 51}{space 1}   -1.25{col 60}{space 3}0.222{col 68}{space 4}-.0310113{col 81}{space 3} .0074979
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2} -.012827{col 40}{space 2} .0095033{col 51}{space 1}   -1.35{col 60}{space 3}0.187{col 68}{space 4}-.0322091{col 81}{space 3} .0065551
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2} .0058751{col 40}{space 2} 105.6823{col 51}{space 1}    0.00{col 60}{space 3}1.000{col 68}{space 4}-215.5345{col 81}{space 3} 215.5463
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-28.39461{col 40}{space 2} 77.08847{col 51}{space 1}   -0.37{col 60}{space 3}0.715{col 68}{space 4}-185.6176{col 81}{space 3} 128.8284
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} -.035861{col 40}{space 2}  1.05688{col 51}{space 1}   -0.03{col 60}{space 3}0.973{col 68}{space 4}-2.191382{col 81}{space 3}  2.11966
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2} .6625013{col 40}{space 2} .5848061{col 51}{space 1}    1.13{col 60}{space 3}0.266{col 68}{space 4}-.5302186{col 81}{space 3} 1.855221
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2} .3824742{col 40}{space 2} 1.525152{col 51}{space 1}    0.25{col 60}{space 3}0.804{col 68}{space 4}-2.728095{col 81}{space 3} 3.493043
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    3.95
{txt}{col 55}Prob > F      = {res}  0.0015
{txt}Total (centered) SS     = {res} 8862.597983{txt}{col 55}Centered R2   = {res}  0.0658
{txt}Total (uncentered) SS   = {res} 8862.597983{txt}{col 55}Uncentered R2 = {res}  0.0658
{txt}Residual SS             = {res} 8279.880953{txt}{col 55}Root MSE      = {res}   4.461

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          perc_voixexd_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2} .2706055{col 40}{space 2} .0998931{col 51}{space 1}    2.71{col 60}{space 3}0.011{col 68}{space 4} .0668721{col 81}{space 3} .4743389
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2}-.0187198{col 40}{space 2} .0465259{col 51}{space 1}   -0.40{col 60}{space 3}0.690{col 68}{space 4}  -.11361{col 81}{space 3} .0761705
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2} .0213883{col 40}{space 2} .0854982{col 51}{space 1}    0.25{col 60}{space 3}0.804{col 68}{space 4}-.1529864{col 81}{space 3} .1957631
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2}-.2892632{col 40}{space 2} .1927811{col 51}{space 1}   -1.50{col 60}{space 3}0.144{col 68}{space 4}-.6824429{col 81}{space 3} .1039165
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2}-.1404594{col 40}{space 2}  .119471{col 51}{space 1}   -1.18{col 60}{space 3}0.249{col 68}{space 4}-.3841222{col 81}{space 3} .1032033
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2} 1278.714{col 40}{space 2} 1938.652{col 51}{space 1}    0.66{col 60}{space 3}0.514{col 68}{space 4}-2675.194{col 81}{space 3} 5232.621
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-955.9217{col 40}{space 2}  723.568{col 51}{space 1}   -1.32{col 60}{space 3}0.196{col 68}{space 4}-2431.648{col 81}{space 3}  519.805
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} -14.7189{col 40}{space 2} 19.95046{col 51}{space 1}   -0.74{col 60}{space 3}0.466{col 68}{space 4}-55.40813{col 81}{space 3} 25.97033
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2}-5.875263{col 40}{space 2} 6.559738{col 51}{space 1}   -0.90{col 60}{space 3}0.377{col 68}{space 4}-19.25394{col 81}{space 3}  7.50341
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2} 20.95844{col 40}{space 2} 15.02321{col 51}{space 1}    1.40{col 60}{space 3}0.173{col 68}{space 4}-9.681605{col 81}{space 3} 51.59849
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    2.67
{txt}{col 55}Prob > F      = {res}  0.0178
{txt}Total (centered) SS     = {res} 7921.764391{txt}{col 55}Centered R2   = {res}  0.0310
{txt}Total (uncentered) SS   = {res} 7921.764391{txt}{col 55}Uncentered R2 = {res}  0.0310
{txt}Residual SS             = {res} 7675.842373{txt}{col 55}Root MSE      = {res}   4.296

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          perc_voixexd_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2} .1704477{col 40}{space 2}  .083821{col 51}{space 1}    2.03{col 60}{space 3}0.051{col 68}{space 4}-.0005064{col 81}{space 3} .3414018
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2} .0111354{col 40}{space 2} .0439055{col 51}{space 1}    0.25{col 60}{space 3}0.801{col 68}{space 4}-.0784104{col 81}{space 3} .1006812
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2} .0053598{col 40}{space 2} .0793618{col 51}{space 1}    0.07{col 60}{space 3}0.947{col 68}{space 4}-.1564996{col 81}{space 3} .1672192
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2} -.064035{col 40}{space 2} .1589262{col 51}{space 1}   -0.40{col 60}{space 3}0.690{col 68}{space 4}-.3881671{col 81}{space 3} .2600972
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2}-.1682098{col 40}{space 2} .0912802{col 51}{space 1}   -1.84{col 60}{space 3}0.075{col 68}{space 4}-.3543769{col 81}{space 3} .0179573
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2}-1589.459{col 40}{space 2} 1608.303{col 51}{space 1}   -0.99{col 60}{space 3}0.331{col 68}{space 4}-4869.614{col 81}{space 3} 1690.696
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-994.1789{col 40}{space 2} 795.4707{col 51}{space 1}   -1.25{col 60}{space 3}0.221{col 68}{space 4}-2616.552{col 81}{space 3} 628.1943
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} 14.82955{col 40}{space 2} 16.23314{col 51}{space 1}    0.91{col 60}{space 3}0.368{col 68}{space 4}-18.27816{col 81}{space 3} 47.93727
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2} 4.991697{col 40}{space 2} 6.721989{col 51}{space 1}    0.74{col 60}{space 3}0.463{col 68}{space 4}-8.717891{col 81}{space 3} 18.70128
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2}  18.6855{col 40}{space 2} 16.20228{col 51}{space 1}    1.15{col 60}{space 3}0.258{col 68}{space 4}-14.35926{col 81}{space 3} 51.73027
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    2.11
{txt}{col 55}Prob > F      = {res}  0.0550
{txt}Total (centered) SS     = {res} 5514.142028{txt}{col 55}Centered R2   = {res}  0.0329
{txt}Total (uncentered) SS   = {res} 5514.142028{txt}{col 55}Uncentered R2 = {res}  0.0329
{txt}Residual SS             = {res} 5332.990843{txt}{col 55}Root MSE      = {res}    3.58

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          perc_voixexd_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2} .0131272{col 40}{space 2}  .049487{col 51}{space 1}    0.27{col 60}{space 3}0.793{col 68}{space 4}-.0878022{col 81}{space 3} .1140567
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2}-.0071931{col 40}{space 2} .0314653{col 51}{space 1}   -0.23{col 60}{space 3}0.821{col 68}{space 4} -.071367{col 81}{space 3} .0569808
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2} .0474998{col 40}{space 2}   .06103{col 51}{space 1}    0.78{col 60}{space 3}0.442{col 68}{space 4}-.0769718{col 81}{space 3} .1719714
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2}-.0183106{col 40}{space 2} .1006193{col 51}{space 1}   -0.18{col 60}{space 3}0.857{col 68}{space 4} -.223525{col 81}{space 3} .1869038
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2}-.0286709{col 40}{space 2} .0749016{col 51}{space 1}   -0.38{col 60}{space 3}0.704{col 68}{space 4}-.1814337{col 81}{space 3}  .124092
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2}-2304.931{col 40}{space 2} 1128.731{col 51}{space 1}   -2.04{col 60}{space 3}0.050{col 68}{space 4}-4606.993{col 81}{space 3}-2.868022
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-1301.328{col 40}{space 2}  476.955{col 51}{space 1}   -2.73{col 60}{space 3}0.010{col 68}{space 4}-2274.084{col 81}{space 3}-328.5714
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} 21.67383{col 40}{space 2}  11.3551{col 51}{space 1}    1.91{col 60}{space 3}0.066{col 68}{space 4}-1.485049{col 81}{space 3}  44.8327
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2}-1.129953{col 40}{space 2} 4.442145{col 51}{space 1}   -0.25{col 60}{space 3}0.801{col 68}{space 4}-10.18977{col 81}{space 3} 7.929862
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2} 26.83605{col 40}{space 2} 9.469289{col 51}{space 1}    2.83{col 60}{space 3}0.008{col 68}{space 4} 7.523305{col 81}{space 3} 46.14879
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    2.80
{txt}{col 55}Prob > F      = {res}  0.0136
{txt}Total (centered) SS     = {res} 7587.892197{txt}{col 55}Centered R2   = {res}  0.0300
{txt}Total (uncentered) SS   = {res} 7587.892197{txt}{col 55}Uncentered R2 = {res}  0.0300
{txt}Residual SS             = {res} 7360.457706{txt}{col 55}Root MSE      = {res}   4.206

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          perc_voixexd_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2}  .053511{col 40}{space 2} .0793512{col 51}{space 1}    0.67{col 60}{space 3}0.505{col 68}{space 4}-.1083268{col 81}{space 3} .2153488
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2}-.0068582{col 40}{space 2} .0473899{col 51}{space 1}   -0.14{col 60}{space 3}0.886{col 68}{space 4}-.1035104{col 81}{space 3}  .089794
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2} .0370317{col 40}{space 2} .0504237{col 51}{space 1}    0.73{col 60}{space 3}0.468{col 68}{space 4}-.0658082{col 81}{space 3} .1398715
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2}-.0419361{col 40}{space 2}  .165628{col 51}{space 1}   -0.25{col 60}{space 3}0.802{col 68}{space 4}-.3797367{col 81}{space 3} .2958644
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2} .0670255{col 40}{space 2} .0982865{col 51}{space 1}    0.68{col 60}{space 3}0.500{col 68}{space 4}-.1334311{col 81}{space 3} .2674822
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2}-3244.636{col 40}{space 2} 1018.895{col 51}{space 1}   -3.18{col 60}{space 3}0.003{col 68}{space 4}-5322.686{col 81}{space 3}-1166.587
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-1533.484{col 40}{space 2} 645.1792{col 51}{space 1}   -2.38{col 60}{space 3}0.024{col 68}{space 4}-2849.336{col 81}{space 3}-217.6325
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} 30.97254{col 40}{space 2} 10.45681{col 51}{space 1}    2.96{col 60}{space 3}0.006{col 68}{space 4} 9.645727{col 81}{space 3} 52.29935
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2}-1.582695{col 40}{space 2} 5.328692{col 51}{space 1}   -0.30{col 60}{space 3}0.768{col 68}{space 4}-12.45063{col 81}{space 3} 9.285243
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2}  31.7524{col 40}{space 2} 13.40362{col 51}{space 1}    2.37{col 60}{space 3}0.024{col 68}{space 4} 4.415536{col 81}{space 3} 59.08927
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    2.80
{txt}{col 55}Prob > F      = {res}  0.0136
{txt}Total (centered) SS     = {res} 9083.430189{txt}{col 55}Centered R2   = {res}  0.0465
{txt}Total (uncentered) SS   = {res} 9083.430189{txt}{col 55}Uncentered R2 = {res}  0.0465
{txt}Residual SS             = {res} 8661.206664{txt}{col 55}Root MSE      = {res}   4.563

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}          perc_voixexd_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2} .0270748{col 40}{space 2} .0867843{col 51}{space 1}    0.31{col 60}{space 3}0.757{col 68}{space 4}-.1499229{col 81}{space 3} .2040725
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2}-.0529962{col 40}{space 2} .0499529{col 51}{space 1}   -1.06{col 60}{space 3}0.297{col 68}{space 4}-.1548757{col 81}{space 3} .0488834
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2} .1115595{col 40}{space 2}  .060965{col 51}{space 1}    1.83{col 60}{space 3}0.077{col 68}{space 4}-.0127795{col 81}{space 3} .2358985
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2}-.0098557{col 40}{space 2} .1394632{col 51}{space 1}   -0.07{col 60}{space 3}0.944{col 68}{space 4}-.2942927{col 81}{space 3} .2745813
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2} .1471294{col 40}{space 2}  .116405{col 51}{space 1}    1.26{col 60}{space 3}0.216{col 68}{space 4}-.0902801{col 81}{space 3}  .384539
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2} -549.046{col 40}{space 2} 2114.453{col 51}{space 1}   -0.26{col 60}{space 3}0.797{col 68}{space 4}-4861.502{col 81}{space 3}  3763.41
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-827.9763{col 40}{space 2} 922.1535{col 51}{space 1}   -0.90{col 60}{space 3}0.376{col 68}{space 4}-2708.721{col 81}{space 3} 1052.768
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} 4.557649{col 40}{space 2} 21.31439{col 51}{space 1}    0.21{col 60}{space 3}0.832{col 68}{space 4}-38.91334{col 81}{space 3} 48.02864
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2}  1.55462{col 40}{space 2} 4.460378{col 51}{space 1}    0.35{col 60}{space 3}0.730{col 68}{space 4}-7.542381{col 81}{space 3} 10.65162
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2} 16.39357{col 40}{space 2} 18.95257{col 51}{space 1}    0.86{col 60}{space 3}0.394{col 68}{space 4}-22.26045{col 81}{space 3} 55.04759
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}{txt}
{com}. 
. // 2SLS RRW
. 
. 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
{txt}  4{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}
{com}. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(} // 2003 2018
{txt}  2{com}.         
.         ivreghdfe perc_voixexd_ins (perc_i_full c.perc_i_full#c.split = perc_e_1908_1927 c.perc_e_1908_1927#c.split) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w) //
{txt}  3{com}.                 
.         estimates store P`year'T1_VOTE
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         scalar f_under=e(idstat)
{txt}  7{com}.         estadd scalar F_u=f_under
{txt}  8{com}. 
. {c )-}
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    1.04
{txt}{col 55}Prob > F      = {res}  0.4365
{txt}Total (centered) SS     = {res} 617.1098426{txt}{col 55}Centered R2   = {res} -0.0479
{txt}Total (uncentered) SS   = {res} 617.1098426{txt}{col 55}Uncentered R2 = {res} -0.0479
{txt}Residual SS             = {res} 646.6917426{txt}{col 55}Root MSE      = {res}   1.245

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}     perc_voixexd_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2}-.0671358{col 35}{space 2} .1254767{col 46}{space 1}   -0.54{col 55}{space 3}0.596{col 63}{space 4}-.3230472{col 76}{space 3} .1887755
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2}-.0116687{col 35}{space 2} .0265865{col 46}{space 1}   -0.44{col 55}{space 3}0.664{col 63}{space 4}-.0658923{col 76}{space 3} .0425549
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2}  .025078{col 35}{space 2} .0229352{col 46}{space 1}    1.09{col 55}{space 3}0.283{col 63}{space 4}-.0216986{col 76}{space 3} .0718546
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2} .0447695{col 35}{space 2} .0248472{col 46}{space 1}    1.80{col 55}{space 3}0.081{col 63}{space 4}-.0059067{col 76}{space 3} .0954457
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2}-.0843191{col 35}{space 2} .0372217{col 46}{space 1}   -2.27{col 55}{space 3}0.031{col 63}{space 4}-.1602334{col 76}{space 3}-.0084049
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2}-754.2655{col 35}{space 2} 645.6332{col 46}{space 1}   -1.17{col 55}{space 3}0.252{col 63}{space 4}-2071.043{col 76}{space 3} 562.5122
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2} 239.2542{col 35}{space 2} 157.7414{col 46}{space 1}    1.52{col 55}{space 3}0.139{col 63}{space 4}-82.46151{col 76}{space 3}   560.97
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2} 8.112938{col 35}{space 2} 6.620052{col 46}{space 1}    1.23{col 55}{space 3}0.230{col 63}{space 4}-5.388748{col 76}{space 3} 21.61462
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2} .6289395{col 35}{space 2}  1.31843{col 46}{space 1}    0.48{col 55}{space 3}0.637{col 63}{space 4}-2.060016{col 76}{space 3} 3.317895
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2}-5.056337{col 35}{space 2} 3.166269{col 46}{space 1}   -1.60{col 55}{space 3}0.120{col 63}{space 4}-11.51398{col 76}{space 3} 1.401311
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.371
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0066
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   6.681
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   8.482
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}8.482482

{txt}added scalar:
                e(F_u) =  {res}7.3711503
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    1.07
{txt}{col 55}Prob > F      = {res}  0.4158
{txt}Total (centered) SS     = {res} 73.62421611{txt}{col 55}Centered R2   = {res}  0.0041
{txt}Total (uncentered) SS   = {res} 73.62421611{txt}{col 55}Uncentered R2 = {res}  0.0041
{txt}Residual SS             = {res} 73.32598332{txt}{col 55}Root MSE      = {res}   .4193

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}     perc_voixexd_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2} .0114588{col 35}{space 2} .0174712{col 46}{space 1}    0.66{col 55}{space 3}0.517{col 63}{space 4} -.024174{col 76}{space 3} .0470916
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2} .0006198{col 35}{space 2} .0091647{col 46}{space 1}    0.07{col 55}{space 3}0.947{col 63}{space 4}-.0180717{col 76}{space 3} .0193113
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2} .0059579{col 35}{space 2}  .005474{col 46}{space 1}    1.09{col 55}{space 3}0.285{col 63}{space 4}-.0052065{col 76}{space 3} .0171222
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2}-.0102681{col 35}{space 2} .0094657{col 46}{space 1}   -1.08{col 55}{space 3}0.286{col 63}{space 4}-.0295735{col 76}{space 3} .0090373
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2}-.0112347{col 35}{space 2} .0088471{col 46}{space 1}   -1.27{col 55}{space 3}0.214{col 63}{space 4}-.0292785{col 76}{space 3}  .006809
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2} 5.266744{col 35}{space 2} 102.4738{col 46}{space 1}    0.05{col 55}{space 3}0.959{col 63}{space 4}-203.7299{col 76}{space 3} 214.2634
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2}-32.78389{col 35}{space 2} 79.20074{col 46}{space 1}   -0.41{col 55}{space 3}0.682{col 63}{space 4}-194.3149{col 76}{space 3} 128.7471
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2}-.0963664{col 35}{space 2}   1.0208{col 46}{space 1}   -0.09{col 55}{space 3}0.925{col 63}{space 4}-2.178302{col 76}{space 3} 1.985569
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2} .6749003{col 35}{space 2} .5944444{col 46}{space 1}    1.14{col 55}{space 3}0.265{col 63}{space 4} -.537477{col 76}{space 3} 1.887278
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2} .4673491{col 35}{space 2} 1.569224{col 46}{space 1}    0.30{col 55}{space 3}0.768{col 63}{space 4}-2.733105{col 76}{space 3} 3.667803
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.495
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0062
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   7.312
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   9.917
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}9.9171393

{txt}added scalar:
                e(F_u) =  {res}7.4949551
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.14
{txt}{col 55}Prob > F      = {res}  0.0512
{txt}Total (centered) SS     = {res} 8862.597983{txt}{col 55}Centered R2   = {res} -0.4203
{txt}Total (uncentered) SS   = {res} 8862.597983{txt}{col 55}Uncentered R2 = {res} -0.4203
{txt}Residual SS             = {res} 12587.45207{txt}{col 55}Root MSE      = {res}   5.501

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}     perc_voixexd_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2} 1.094788{col 35}{space 2} .3827126{col 46}{space 1}    2.86{col 55}{space 3}0.008{col 63}{space 4} .3142408{col 76}{space 3} 1.875336
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2} -.091334{col 35}{space 2}  .168259{col 46}{space 1}   -0.54{col 55}{space 3}0.591{col 63}{space 4}-.4345005{col 76}{space 3} .2518324
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2}  .030223{col 35}{space 2} .0925458{col 46}{space 1}    0.33{col 55}{space 3}0.746{col 63}{space 4}-.1585254{col 76}{space 3} .2189714
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2}-.0948652{col 35}{space 2} .1962203{col 46}{space 1}   -0.48{col 55}{space 3}0.632{col 63}{space 4}-.4950591{col 76}{space 3} .3053288
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2} .0071582{col 35}{space 2} .1566392{col 46}{space 1}    0.05{col 55}{space 3}0.964{col 63}{space 4}-.3123095{col 76}{space 3} .3266259
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2} 1439.462{col 35}{space 2} 2280.619{col 46}{space 1}    0.63{col 55}{space 3}0.533{col 63}{space 4} -3211.89{col 76}{space 3} 6090.815
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2}-1531.043{col 35}{space 2}  837.172{col 46}{space 1}   -1.83{col 55}{space 3}0.077{col 63}{space 4}-3238.467{col 76}{space 3} 176.3803
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2}-17.22754{col 35}{space 2} 23.39292{col 46}{space 1}   -0.74{col 55}{space 3}0.467{col 63}{space 4}-64.93772{col 76}{space 3} 30.48264
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2}-4.653996{col 35}{space 2} 6.814777{col 46}{space 1}   -0.68{col 55}{space 3}0.500{col 63}{space 4}-18.55282{col 76}{space 3} 9.244833
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2}  32.2764{col 35}{space 2} 16.72128{col 46}{space 1}    1.93{col 55}{space 3}0.063{col 63}{space 4}-1.826874{col 76}{space 3} 66.37966
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.908
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0049
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   7.150
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  10.400
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}10.399895

{txt}added scalar:
                e(F_u) =  {res}7.9076698
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.66
{txt}{col 55}Prob > F      = {res}  0.0179
{txt}Total (centered) SS     = {res} 7921.764391{txt}{col 55}Centered R2   = {res} -0.2419
{txt}Total (uncentered) SS   = {res} 7921.764391{txt}{col 55}Uncentered R2 = {res} -0.2419
{txt}Residual SS             = {res} 9837.718228{txt}{col 55}Root MSE      = {res}   4.863

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}     perc_voixexd_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2} .7386586{col 35}{space 2} .3251975{col 46}{space 1}    2.27{col 55}{space 3}0.030{col 63}{space 4}  .075414{col 76}{space 3} 1.401903
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2}-.0314466{col 35}{space 2} .1630574{col 46}{space 1}   -0.19{col 55}{space 3}0.848{col 63}{space 4}-.3640043{col 76}{space 3} .3011112
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2} .0222367{col 35}{space 2} .0840732{col 46}{space 1}    0.26{col 55}{space 3}0.793{col 63}{space 4}-.1492317{col 76}{space 3}  .193705
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2} .0491586{col 35}{space 2} .1478024{col 46}{space 1}    0.33{col 55}{space 3}0.742{col 63}{space 4}-.2522865{col 76}{space 3} .3506036
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2}-.0916399{col 35}{space 2} .1141593{col 46}{space 1}   -0.80{col 55}{space 3}0.428{col 63}{space 4}-.3244695{col 76}{space 3} .1411896
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2}  -1517.4{col 35}{space 2} 1715.902{col 46}{space 1}   -0.88{col 55}{space 3}0.383{col 63}{space 4}-5017.006{col 76}{space 3} 1982.206
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2}-1499.899{col 35}{space 2} 929.9394{col 46}{space 1}   -1.61{col 55}{space 3}0.117{col 63}{space 4}-3396.523{col 76}{space 3} 396.7247
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2} 13.33063{col 35}{space 2} 17.23327{col 46}{space 1}    0.77{col 55}{space 3}0.445{col 63}{space 4}-21.81686{col 76}{space 3} 48.47812
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2}  5.51718{col 35}{space 2} 6.803738{col 46}{space 1}    0.81{col 55}{space 3}0.424{col 63}{space 4}-8.359135{col 76}{space 3}  19.3935
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2} 28.81664{col 35}{space 2} 18.62973{col 46}{space 1}    1.55{col 55}{space 3}0.132{col 63}{space 4}-9.178938{col 76}{space 3} 66.81221
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.688
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0056
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   7.073
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   8.975
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}8.9750036

{txt}added scalar:
                e(F_u) =  {res}7.6876968
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.16
{txt}{col 55}Prob > F      = {res}  0.0492
{txt}Total (centered) SS     = {res} 5514.142028{txt}{col 55}Centered R2   = {res}  0.0468
{txt}Total (uncentered) SS   = {res} 5514.142028{txt}{col 55}Uncentered R2 = {res}  0.0468
{txt}Residual SS             = {res} 5256.270326{txt}{col 55}Root MSE      = {res}   3.555

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}     perc_voixexd_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2}  .051215{col 35}{space 2} .1997054{col 46}{space 1}    0.26{col 55}{space 3}0.799{col 63}{space 4}-.3560868{col 76}{space 3} .4585168
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2} -.020577{col 35}{space 2} .0831433{col 46}{space 1}   -0.25{col 55}{space 3}0.806{col 63}{space 4} -.190149{col 76}{space 3} .1489949
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2} .0483432{col 35}{space 2} .0604162{col 46}{space 1}    0.80{col 55}{space 3}0.430{col 63}{space 4}-.0748765{col 76}{space 3} .1715629
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2}-.0135412{col 35}{space 2} .0902536{col 46}{space 1}   -0.15{col 55}{space 3}0.882{col 63}{space 4}-.1976147{col 76}{space 3} .1705323
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2}-.0245332{col 35}{space 2} .0642292{col 46}{space 1}   -0.38{col 55}{space 3}0.705{col 63}{space 4}-.1555296{col 76}{space 3} .1064632
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2}-2289.688{col 35}{space 2} 1083.772{col 46}{space 1}   -2.11{col 55}{space 3}0.043{col 63}{space 4}-4500.056{col 76}{space 3}-79.31989
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2}-1336.181{col 35}{space 2} 542.8937{col 46}{space 1}   -2.46{col 55}{space 3}0.020{col 63}{space 4} -2443.42{col 76}{space 3}-228.9419
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2} 21.46456{col 35}{space 2} 10.89458{col 46}{space 1}    1.97{col 55}{space 3}0.058{col 63}{space 4}-.7550701{col 76}{space 3}  43.6842
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2}-1.038468{col 35}{space 2} 4.493543{col 46}{space 1}   -0.23{col 55}{space 3}0.819{col 63}{space 4}-10.20311{col 76}{space 3} 8.126175
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2} 27.51821{col 35}{space 2} 10.73982{col 46}{space 1}    2.56{col 55}{space 3}0.015{col 63}{space 4} 5.614194{col 76}{space 3} 49.42222
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.516
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0035
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   7.440
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  11.595
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}11.594547

{txt}added scalar:
                e(F_u) =  {res}8.5157416
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    3.25
{txt}{col 55}Prob > F      = {res}  0.0057
{txt}Total (centered) SS     = {res} 7587.892197{txt}{col 55}Centered R2   = {res}  0.0617
{txt}Total (uncentered) SS   = {res} 7587.892197{txt}{col 55}Uncentered R2 = {res}  0.0617
{txt}Residual SS             = {res}   7120.0425{txt}{col 55}Root MSE      = {res}   4.137

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}     perc_voixexd_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2} .2107326{col 35}{space 2} .2903067{col 46}{space 1}    0.73{col 55}{space 3}0.473{col 63}{space 4}-.3813519{col 76}{space 3} .8028171
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2}-.0258207{col 35}{space 2} .1308705{col 46}{space 1}   -0.20{col 55}{space 3}0.845{col 63}{space 4}-.2927328{col 76}{space 3} .2410915
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2} .0381844{col 35}{space 2} .0505514{col 46}{space 1}    0.76{col 55}{space 3}0.456{col 63}{space 4}-.0649159{col 76}{space 3} .1412847
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2}-.0081971{col 35}{space 2} .1343391{col 46}{space 1}   -0.06{col 55}{space 3}0.952{col 63}{space 4}-.2821834{col 76}{space 3} .2657892
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2} .0838942{col 35}{space 2} .0987374{col 46}{space 1}    0.85{col 55}{space 3}0.402{col 63}{space 4}-.1174822{col 76}{space 3} .2852705
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2}-3141.848{col 35}{space 2} 1004.235{col 46}{space 1}   -3.13{col 55}{space 3}0.004{col 63}{space 4}-5189.998{col 76}{space 3}-1093.698
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2} -1680.55{col 35}{space 2} 662.1212{col 46}{space 1}   -2.54{col 55}{space 3}0.016{col 63}{space 4}-3030.955{col 76}{space 3}-330.1446
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2} 29.70825{col 35}{space 2} 10.50132{col 46}{space 1}    2.83{col 55}{space 3}0.008{col 63}{space 4} 8.290662{col 76}{space 3} 51.12583
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2}-.6942589{col 35}{space 2} 5.053107{col 46}{space 1}   -0.14{col 55}{space 3}0.892{col 63}{space 4}-11.00014{col 76}{space 3} 9.611621
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2} 34.47507{col 35}{space 2} 13.55568{col 46}{space 1}    2.54{col 55}{space 3}0.016{col 63}{space 4} 6.828083{col 76}{space 3} 62.12206
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.472
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   6.981
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   8.596
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}8.5958226

{txt}added scalar:
                e(F_u) =  {res}8.4721953
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.78
{txt}{col 55}Prob > F      = {res}  0.0143
{txt}Total (centered) SS     = {res} 9083.430189{txt}{col 55}Centered R2   = {res}  0.0433
{txt}Total (uncentered) SS   = {res} 9083.430189{txt}{col 55}Uncentered R2 = {res}  0.0433
{txt}Residual SS             = {res} 8689.934633{txt}{col 55}Root MSE      = {res}    4.57

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}     perc_voixexd_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2} .0842458{col 35}{space 2} .3504066{col 46}{space 1}    0.24{col 55}{space 3}0.812{col 63}{space 4}-.6304132{col 76}{space 3} .7989048
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2}-.1439214{col 35}{space 2} .1326553{col 46}{space 1}   -1.08{col 55}{space 3}0.286{col 63}{space 4}-.4144736{col 76}{space 3} .1266309
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2} .1140232{col 35}{space 2} .0629203{col 46}{space 1}    1.81{col 55}{space 3}0.080{col 63}{space 4}-.0143037{col 76}{space 3} .2423501
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2}-.0116589{col 35}{space 2}  .104593{col 46}{space 1}   -0.11{col 55}{space 3}0.912{col 63}{space 4}-.2249776{col 76}{space 3} .2016599
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2} .1440523{col 35}{space 2} .1012916{col 46}{space 1}    1.42{col 55}{space 3}0.165{col 63}{space 4}-.0625333{col 76}{space 3} .3506378
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2}-557.5392{col 35}{space 2} 2098.924{col 46}{space 1}   -0.27{col 55}{space 3}0.792{col 63}{space 4}-4838.324{col 76}{space 3} 3723.246
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2}  -905.01{col 35}{space 2} 997.3675{col 46}{space 1}   -0.91{col 55}{space 3}0.371{col 63}{space 4}-2939.154{col 76}{space 3} 1129.134
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2} 4.524398{col 35}{space 2} 21.30957{col 46}{space 1}    0.21{col 55}{space 3}0.833{col 63}{space 4}-38.93675{col 76}{space 3} 47.98554
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2} 1.718749{col 35}{space 2} 4.392435{col 46}{space 1}    0.39{col 55}{space 3}0.698{col 63}{space 4}-7.239681{col 76}{space 3} 10.67718
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2} 17.91981{col 35}{space 2} 20.27934{col 46}{space 1}    0.88{col 55}{space 3}0.384{col 63}{space 4}-23.44018{col 76}{space 3} 59.27981
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.103
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0044
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   7.024
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   8.616
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}8.6155978

{txt}added scalar:
                e(F_u) =  {res}8.1027748
{txt}
{com}. 
. // Reduced form ABSTENTION
. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(} // 2003 2018
{txt}  2{com}.         
.         ivreghdfe perc_bna_ins perc_e_1908_1927 c.perc_e_1908_1927#c.split ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w) //
{txt}  3{com}.                 
.         estimates store P`year'T1_ABST_RF
{txt}  4{com}. 
.         ttest perc_prot_church if annee==`year' & split==1, by(alsace)
{txt}  5{com}.         scalar dif_p=r(p)
{txt}  6{com}.         estadd scalar dif_p
{txt}  7{com}. 
. {c )-}
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    9.81
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 11796.59426{txt}{col 55}Centered R2   = {res}  0.0818
{txt}Total (uncentered) SS   = {res} 11796.59426{txt}{col 55}Uncentered R2 = {res}  0.0818
{txt}Residual SS             = {res} 10831.07788{txt}{col 55}Root MSE      = {res}   5.096

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              perc_bna_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2} .2618093{col 40}{space 2} .0792554{col 51}{space 1}    3.30{col 60}{space 3}0.002{col 68}{space 4} .1001668{col 81}{space 3} .4234518
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2}-.1048119{col 40}{space 2} .0673341{col 51}{space 1}   -1.56{col 60}{space 3}0.130{col 68}{space 4}-.2421406{col 81}{space 3} .0325169
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2}-.1949512{col 40}{space 2} .0787355{col 51}{space 1}   -2.48{col 60}{space 3}0.019{col 68}{space 4}-.3555332{col 81}{space 3}-.0343692
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2}-.0102066{col 40}{space 2} .1836836{col 51}{space 1}   -0.06{col 60}{space 3}0.956{col 68}{space 4}-.3848319{col 81}{space 3} .3644186
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2}-.5449941{col 40}{space 2} .1666094{col 51}{space 1}   -3.27{col 60}{space 3}0.003{col 68}{space 4}-.8847962{col 81}{space 3} -.205192
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2} 12.22893{col 40}{space 2} 2910.915{col 51}{space 1}    0.00{col 60}{space 3}0.997{col 68}{space 4} -5924.62{col 81}{space 3} 5949.078
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2} 1237.698{col 40}{space 2} 878.2269{col 51}{space 1}    1.41{col 60}{space 3}0.169{col 68}{space 4}-553.4579{col 81}{space 3} 3028.853
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} 1.747083{col 40}{space 2} 29.08318{col 51}{space 1}    0.06{col 60}{space 3}0.952{col 68}{space 4}-57.56846{col 81}{space 3} 61.06263
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2}-2.034539{col 40}{space 2} 6.653968{col 51}{space 1}   -0.31{col 60}{space 3}0.762{col 68}{space 4} -15.6054{col 81}{space 3} 11.53632
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2}-24.77523{col 40}{space 2} 17.35205{col 51}{space 1}   -1.43{col 60}{space 3}0.163{col 68}{space 4}-60.16497{col 81}{space 3}  10.6145
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    3.80
{txt}{col 55}Prob > F      = {res}  0.0020
{txt}Total (centered) SS     = {res} 18676.55415{txt}{col 55}Centered R2   = {res}  0.0714
{txt}Total (uncentered) SS   = {res} 18676.55415{txt}{col 55}Uncentered R2 = {res}  0.0714
{txt}Residual SS             = {res} 17342.16625{txt}{col 55}Root MSE      = {res}   6.449

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              perc_bna_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2} .3852218{col 40}{space 2} .1318677{col 51}{space 1}    2.92{col 60}{space 3}0.006{col 68}{space 4} .1162758{col 81}{space 3} .6541678
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2} -.109354{col 40}{space 2} .0555018{col 51}{space 1}   -1.97{col 60}{space 3}0.058{col 68}{space 4}-.2225507{col 81}{space 3} .0038428
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2}-.1518305{col 40}{space 2} .1049119{col 51}{space 1}   -1.45{col 60}{space 3}0.158{col 68}{space 4}-.3657996{col 81}{space 3} .0621386
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2}-.1137211{col 40}{space 2} .1907747{col 51}{space 1}   -0.60{col 60}{space 3}0.555{col 68}{space 4}-.5028087{col 81}{space 3} .2753665
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2}-.5986148{col 40}{space 2} .2081279{col 51}{space 1}   -2.88{col 60}{space 3}0.007{col 68}{space 4}-1.023095{col 81}{space 3} -.174135
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2} 846.0263{col 40}{space 2} 2773.045{col 51}{space 1}    0.31{col 60}{space 3}0.762{col 68}{space 4}-4809.635{col 81}{space 3} 6501.688
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2} 767.1482{col 40}{space 2} 964.0049{col 51}{space 1}    0.80{col 60}{space 3}0.432{col 68}{space 4}-1198.953{col 81}{space 3} 2733.249
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2}-7.561762{col 40}{space 2} 28.26376{col 51}{space 1}   -0.27{col 60}{space 3}0.791{col 68}{space 4}-65.20608{col 81}{space 3} 50.08255
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2}-8.014668{col 40}{space 2} 8.470123{col 51}{space 1}   -0.95{col 60}{space 3}0.351{col 68}{space 4} -25.2896{col 81}{space 3} 9.260262
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2} -13.5245{col 40}{space 2} 19.07424{col 51}{space 1}   -0.71{col 60}{space 3}0.484{col 68}{space 4}-52.42666{col 81}{space 3} 25.37767
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    5.34
{txt}{col 55}Prob > F      = {res}  0.0001
{txt}Total (centered) SS     = {res} 8937.800927{txt}{col 55}Centered R2   = {res}  0.0431
{txt}Total (uncentered) SS   = {res} 8937.800927{txt}{col 55}Uncentered R2 = {res}  0.0431
{txt}Residual SS             = {res} 8552.741347{txt}{col 55}Root MSE      = {res}   4.529

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              perc_bna_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2} .2146465{col 40}{space 2}  .075923{col 51}{space 1}    2.83{col 60}{space 3}0.008{col 68}{space 4} .0598005{col 81}{space 3} .3694924
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2}-.1113911{col 40}{space 2}  .062098{col 51}{space 1}   -1.79{col 60}{space 3}0.083{col 68}{space 4}-.2380408{col 81}{space 3} .0152585
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2}-.0546762{col 40}{space 2} .0890127{col 51}{space 1}   -0.61{col 60}{space 3}0.544{col 68}{space 4}-.2362188{col 81}{space 3} .1268665
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2}-.1365708{col 40}{space 2} .1438878{col 51}{space 1}   -0.95{col 60}{space 3}0.350{col 68}{space 4} -.430032{col 81}{space 3} .1568903
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2}-.1570057{col 40}{space 2} .1331791{col 51}{space 1}   -1.18{col 60}{space 3}0.247{col 68}{space 4}-.4286262{col 81}{space 3} .1146149
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2}-416.5484{col 40}{space 2}  1353.18{col 51}{space 1}   -0.31{col 60}{space 3}0.760{col 68}{space 4}-3176.377{col 81}{space 3}  2343.28
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-939.9571{col 40}{space 2} 489.6526{col 51}{space 1}   -1.92{col 60}{space 3}0.064{col 68}{space 4} -1938.61{col 81}{space 3} 58.69591
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} 2.815259{col 40}{space 2}  13.8085{col 51}{space 1}    0.20{col 60}{space 3}0.840{col 68}{space 4}-25.34736{col 81}{space 3} 30.97787
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2} -5.11359{col 40}{space 2} 4.679629{col 51}{space 1}   -1.09{col 60}{space 3}0.283{col 68}{space 4}-14.65776{col 81}{space 3} 4.430576
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2} 20.69975{col 40}{space 2} 9.850697{col 51}{space 1}    2.10{col 60}{space 3}0.044{col 68}{space 4} .6091154{col 81}{space 3} 40.79038
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    1.25
{txt}{col 55}Prob > F      = {res}  0.2998
{txt}Total (centered) SS     = {res} 6008.066893{txt}{col 55}Centered R2   = {res}  0.0195
{txt}Total (uncentered) SS   = {res} 6008.066893{txt}{col 55}Uncentered R2 = {res}  0.0195
{txt}Residual SS             = {res} 5890.716028{txt}{col 55}Root MSE      = {res}   3.763

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              perc_bna_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2}-.0282897{col 40}{space 2} .0556809{col 51}{space 1}   -0.51{col 60}{space 3}0.615{col 68}{space 4}-.1418516{col 81}{space 3} .0852722
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2}-.0634429{col 40}{space 2}  .037877{col 51}{space 1}   -1.67{col 60}{space 3}0.104{col 68}{space 4}-.1406935{col 81}{space 3} .0138076
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2} .0712744{col 40}{space 2} .0633411{col 51}{space 1}    1.13{col 60}{space 3}0.269{col 68}{space 4}-.0579106{col 81}{space 3} .2004595
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2} .0661298{col 40}{space 2} .1455933{col 51}{space 1}    0.45{col 60}{space 3}0.653{col 68}{space 4}-.2308096{col 81}{space 3} .3630692
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2}-.0486095{col 40}{space 2} .0737164{col 51}{space 1}   -0.66{col 60}{space 3}0.515{col 68}{space 4} -.198955{col 81}{space 3}  .101736
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2} -2489.22{col 40}{space 2}  2075.09{col 51}{space 1}   -1.20{col 60}{space 3}0.239{col 68}{space 4}-6721.394{col 81}{space 3} 1742.954
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-231.3918{col 40}{space 2} 585.0978{col 51}{space 1}   -0.40{col 60}{space 3}0.695{col 68}{space 4}-1424.707{col 81}{space 3}  961.923
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} 25.25911{col 40}{space 2} 20.80542{col 51}{space 1}    1.21{col 60}{space 3}0.234{col 68}{space 4}-17.17381{col 81}{space 3} 67.69204
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2} 2.618395{col 40}{space 2} 3.772237{col 51}{space 1}    0.69{col 60}{space 3}0.493{col 68}{space 4}-5.075133{col 81}{space 3} 10.31192
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2} 4.030076{col 40}{space 2} 11.88624{col 51}{space 1}    0.34{col 60}{space 3}0.737{col 68}{space 4}-20.21208{col 81}{space 3} 28.27223
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    2.65
{txt}{col 55}Prob > F      = {res}  0.0182
{txt}Total (centered) SS     = {res} 8951.441339{txt}{col 55}Centered R2   = {res}  0.0427
{txt}Total (uncentered) SS   = {res} 8951.441339{txt}{col 55}Uncentered R2 = {res}  0.0427
{txt}Residual SS             = {res} 8569.189304{txt}{col 55}Root MSE      = {res}   4.539

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              perc_bna_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2}-.1739493{col 40}{space 2}  .072271{col 51}{space 1}   -2.41{col 60}{space 3}0.022{col 68}{space 4}-.3213471{col 81}{space 3}-.0265516
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2}-.0288433{col 40}{space 2} .0480768{col 51}{space 1}   -0.60{col 60}{space 3}0.553{col 68}{space 4}-.1268967{col 81}{space 3} .0692101
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2} .0535955{col 40}{space 2} .0973309{col 51}{space 1}    0.55{col 60}{space 3}0.586{col 68}{space 4}-.1449121{col 81}{space 3} .2521031
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2} .1410137{col 40}{space 2}  .105661{col 51}{space 1}    1.33{col 60}{space 3}0.192{col 68}{space 4}-.0744834{col 81}{space 3} .3565108
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2} .1275646{col 40}{space 2} .1132355{col 51}{space 1}    1.13{col 60}{space 3}0.269{col 68}{space 4}-.1033808{col 81}{space 3}   .35851
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2}-687.4199{col 40}{space 2}  1790.14{col 51}{space 1}   -0.38{col 60}{space 3}0.704{col 68}{space 4}-4338.435{col 81}{space 3} 2963.595
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-1393.454{col 40}{space 2} 745.8413{col 51}{space 1}   -1.87{col 60}{space 3}0.071{col 68}{space 4}-2914.608{col 81}{space 3} 127.6989
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} 4.997935{col 40}{space 2} 18.50968{col 51}{space 1}    0.27{col 60}{space 3}0.789{col 68}{space 4} -32.7528{col 81}{space 3} 42.74867
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2} -1.21705{col 40}{space 2}  4.50734{col 51}{space 1}   -0.27{col 60}{space 3}0.789{col 68}{space 4}-10.40983{col 81}{space 3}  7.97573
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2} 28.90332{col 40}{space 2} 15.31749{col 51}{space 1}    1.89{col 60}{space 3}0.069{col 68}{space 4}-2.336913{col 81}{space 3} 60.14356
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    2.14
{txt}{col 55}Prob > F      = {res}  0.0509
{txt}Total (centered) SS     = {res} 4170.341767{txt}{col 55}Centered R2   = {res}  0.0214
{txt}Total (uncentered) SS   = {res} 4170.341767{txt}{col 55}Uncentered R2 = {res}  0.0214
{txt}Residual SS             = {res}  4080.90333{txt}{col 55}Root MSE      = {res}   3.132

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              perc_bna_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2} .0992931{col 40}{space 2} .0370675{col 51}{space 1}    2.68{col 60}{space 3}0.012{col 68}{space 4} .0236934{col 81}{space 3} .1748929
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2} .0105521{col 40}{space 2} .0250564{col 51}{space 1}    0.42{col 60}{space 3}0.677{col 68}{space 4}-.0405507{col 81}{space 3} .0616549
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2}-.0059689{col 40}{space 2} .0673593{col 51}{space 1}   -0.09{col 60}{space 3}0.930{col 68}{space 4}-.1433492{col 81}{space 3} .1314114
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2}  -.10546{col 40}{space 2} .0747991{col 51}{space 1}   -1.41{col 60}{space 3}0.169{col 68}{space 4}-.2580138{col 81}{space 3} .0470938
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2} -.098053{col 40}{space 2} .0738671{col 51}{space 1}   -1.33{col 60}{space 3}0.194{col 68}{space 4}-.2487061{col 81}{space 3}    .0526
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2}-941.9529{col 40}{space 2} 1385.733{col 51}{space 1}   -0.68{col 60}{space 3}0.502{col 68}{space 4}-3768.173{col 81}{space 3} 1884.268
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-702.5051{col 40}{space 2} 401.4672{col 51}{space 1}   -1.75{col 60}{space 3}0.090{col 68}{space 4}-1521.303{col 81}{space 3} 116.2925
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} 8.806813{col 40}{space 2} 14.02138{col 51}{space 1}    0.63{col 60}{space 3}0.535{col 68}{space 4}-19.78997{col 81}{space 3}  37.4036
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2} 8.233491{col 40}{space 2} 3.089636{col 51}{space 1}    2.66{col 60}{space 3}0.012{col 68}{space 4} 1.932137{col 81}{space 3} 14.53485
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2} 11.92904{col 40}{space 2}  7.84574{col 51}{space 1}    1.52{col 60}{space 3}0.139{col 68}{space 4} -4.07245{col 81}{space 3} 27.93053
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    2.66
{txt}{col 55}Prob > F      = {res}  0.0179
{txt}Total (centered) SS     = {res} 5094.179372{txt}{col 55}Centered R2   = {res}  0.0190
{txt}Total (uncentered) SS   = {res} 5094.179372{txt}{col 55}Uncentered R2 = {res}  0.0190
{txt}Residual SS             = {res} 4997.616862{txt}{col 55}Root MSE      = {res}   3.466

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              perc_bna_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2} .0500571{col 40}{space 2}  .062847{col 51}{space 1}    0.80{col 60}{space 3}0.432{col 68}{space 4}-.0781203{col 81}{space 3} .1782344
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2}-.0439221{col 40}{space 2}  .030498{col 51}{space 1}   -1.44{col 60}{space 3}0.160{col 68}{space 4}-.1061231{col 81}{space 3}  .018279
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2}-.0037624{col 40}{space 2} .0849821{col 51}{space 1}   -0.04{col 60}{space 3}0.965{col 68}{space 4}-.1770846{col 81}{space 3} .1695598
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2}-.0679745{col 40}{space 2} .1087509{col 51}{space 1}   -0.63{col 60}{space 3}0.537{col 68}{space 4}-.2897735{col 81}{space 3} .1538245
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2}-.0396114{col 40}{space 2} .0934805{col 51}{space 1}   -0.42{col 60}{space 3}0.675{col 68}{space 4}-.2302663{col 81}{space 3} .1510434
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2}-135.2673{col 40}{space 2} 893.3746{col 51}{space 1}   -0.15{col 60}{space 3}0.881{col 68}{space 4}-1957.317{col 81}{space 3} 1686.782
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-958.1355{col 40}{space 2} 409.2875{col 51}{space 1}   -2.34{col 60}{space 3}0.026{col 68}{space 4}-1792.883{col 81}{space 3}-123.3883
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} .0463803{col 40}{space 2} 9.073995{col 51}{space 1}    0.01{col 60}{space 3}0.996{col 68}{space 4}-18.46015{col 81}{space 3} 18.55291
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2} 4.064849{col 40}{space 2} 4.057357{col 51}{space 1}    1.00{col 60}{space 3}0.324{col 68}{space 4}-4.210186{col 81}{space 3} 12.33988
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2} 18.33861{col 40}{space 2} 8.200238{col 51}{space 1}    2.24{col 60}{space 3}0.033{col 68}{space 4} 1.614112{col 81}{space 3}  35.0631
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}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}    1.90
{txt}{col 55}Prob > F      = {res}  0.0834
{txt}Total (centered) SS     = {res}  6125.33048{txt}{col 55}Centered R2   = {res}  0.0352
{txt}Total (uncentered) SS   = {res}  6125.33048{txt}{col 55}Uncentered R2 = {res}  0.0352
{txt}Residual SS             = {res} 5909.685929{txt}{col 55}Root MSE      = {res}   3.769

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              perc_bna_ins{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_e_1908_1927 {c |}{col 28}{res}{space 2} .0818835{col 40}{space 2} .0516107{col 51}{space 1}    1.59{col 60}{space 3}0.123{col 68}{space 4}-.0233773{col 81}{space 3} .1871442
{txt}{space 26} {c |}
c.perc_e_1908_1927#c.split {c |}{col 28}{res}{space 2}-.0247479{col 40}{space 2} .0356845{col 51}{space 1}   -0.69{col 60}{space 3}0.493{col 68}{space 4}-.0975269{col 81}{space 3}  .048031
{txt}{space 26} {c |}
{space 10}perc_b_1903_1912 {c |}{col 28}{res}{space 2}-.1125138{col 40}{space 2} .0606037{col 51}{space 1}   -1.86{col 60}{space 3}0.073{col 68}{space 4}-.2361159{col 81}{space 3} .0110884
{txt}{space 10}perc_b_1913_1922 {c |}{col 28}{res}{space 2}  .015543{col 40}{space 2} .0915449{col 51}{space 1}    0.17{col 60}{space 3}0.866{col 68}{space 4}-.1711641{col 81}{space 3} .2022501
{txt}{space 10}perc_b_1923_1932 {c |}{col 28}{res}{space 2}-.1532222{col 40}{space 2} .1246209{col 51}{space 1}   -1.23{col 60}{space 3}0.228{col 68}{space 4}-.4073882{col 81}{space 3} .1009439
{txt}{space 19}rdd_lat {c |}{col 28}{res}{space 2}-1943.459{col 40}{space 2} 1610.537{col 51}{space 1}   -1.21{col 60}{space 3}0.237{col 68}{space 4} -5228.17{col 81}{space 3} 1341.252
{txt}{space 19}rdd_lon {c |}{col 28}{res}{space 2}-756.8388{col 40}{space 2} 512.5576{col 51}{space 1}   -1.48{col 60}{space 3}0.150{col 68}{space 4}-1802.207{col 81}{space 3} 288.5294
{txt}{space 17}rdd_lat_2 {c |}{col 28}{res}{space 2} 18.94886{col 40}{space 2} 16.21273{col 51}{space 1}    1.17{col 60}{space 3}0.251{col 68}{space 4}-14.11723{col 81}{space 3} 52.01494
{txt}{space 17}rdd_lon_2 {c |}{col 28}{res}{space 2} 6.282353{col 40}{space 2} 3.322502{col 51}{space 1}    1.89{col 60}{space 3}0.068{col 68}{space 4}-.4939354{col 81}{space 3} 13.05864
{txt}{space 15}rdd_lat_lon {c |}{col 28}{res}{space 2} 13.48769{col 40}{space 2} 10.14219{col 51}{space 1}    1.33{col 60}{space 3}0.193{col 68}{space 4}-7.197433{col 81}{space 3} 34.17282
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 rdd_lat
{col 23}rdd_lon 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
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}
{com}. 
. // 2SLS ABSTENTION
. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(} // 2003 2018
{txt}  2{com}.         
.         ivreghdfe perc_bna_ins (perc_i_full c.perc_i_full#c.split = perc_e_1908_1927 c.perc_e_1908_1927#c.split) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w) //
{txt}  3{com}.                 
.         estimates store P`year'T1_ABST
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         scalar f_under=e(idstat)
{txt}  7{com}.         estadd scalar F_u=f_under
{txt}  8{com}. 
.         ttest perc_prot_church if annee==`year' & split==1, by(alsace)
{txt}  9{com}.         scalar dif_p=r(p)
{txt} 10{com}.         estadd scalar dif_p
{txt} 11{com}. 
. {c )-}
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    6.51
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 11796.59426{txt}{col 55}Centered R2   = {res} -0.0981
{txt}Total (uncentered) SS   = {res} 11796.59426{txt}{col 55}Uncentered R2 = {res} -0.0981
{txt}Residual SS             = {res} 12954.40451{txt}{col 55}Root MSE      = {res}   5.574

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         perc_bna_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2} 1.048032{col 35}{space 2} .4067871{col 46}{space 1}    2.58{col 55}{space 3}0.015{col 63}{space 4} .2183846{col 76}{space 3}  1.87768
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2}-.3047551{col 35}{space 2} .1985146{col 46}{space 1}   -1.54{col 55}{space 3}0.135{col 63}{space 4}-.7096284{col 76}{space 3} .1001181
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2}  -.18444{col 35}{space 2} .0861704{col 46}{space 1}   -2.14{col 55}{space 3}0.040{col 63}{space 4}-.3601857{col 76}{space 3}-.0086942
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2}  .097018{col 35}{space 2} .1753032{col 46}{space 1}    0.55{col 55}{space 3}0.584{col 63}{space 4}-.2605153{col 76}{space 3} .4545513
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2}-.4638107{col 35}{space 2} .1474146{col 46}{space 1}   -3.15{col 55}{space 3}0.004{col 63}{space 4}-.7644647{col 76}{space 3}-.1631567
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2} 761.8374{col 35}{space 2} 2909.668{col 46}{space 1}    0.26{col 55}{space 3}0.795{col 63}{space 4}-5172.469{col 76}{space 3} 6696.143
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2} 847.7836{col 35}{space 2} 1048.496{col 46}{space 1}    0.81{col 55}{space 3}0.425{col 63}{space 4}-1290.638{col 76}{space 3} 2986.205
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2}-6.515152{col 35}{space 2} 29.12574{col 46}{space 1}   -0.22{col 55}{space 3}0.824{col 63}{space 4}-65.91748{col 76}{space 3} 52.88718
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2} .1743632{col 35}{space 2} 6.972295{col 46}{space 1}    0.03{col 55}{space 3}0.980{col 63}{space 4}-14.04573{col 76}{space 3} 14.39445
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2}-17.54333{col 35}{space 2} 20.95461{col 46}{space 1}   -0.84{col 55}{space 3}0.409{col 63}{space 4}-60.28055{col 76}{space 3} 25.19388
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.371
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0066
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   6.681
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   8.482
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}8.482482

{txt}added scalar:
                e(F_u) =  {res}7.3711503

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.45
{txt}{col 55}Prob > F      = {res}  0.0276
{txt}Total (centered) SS     = {res} 18676.55415{txt}{col 55}Centered R2   = {res} -0.2750
{txt}Total (uncentered) SS   = {res} 18676.55415{txt}{col 55}Uncentered R2 = {res} -0.2750
{txt}Residual SS             = {res} 23813.38315{txt}{col 55}Root MSE      = {res}   7.557

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         perc_bna_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2} 1.494105{col 35}{space 2} .6376624{col 46}{space 1}    2.34{col 55}{space 3}0.026{col 63}{space 4} .1935844{col 76}{space 3} 2.794626
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2}-.3364193{col 35}{space 2} .1973222{col 46}{space 1}   -1.70{col 55}{space 3}0.098{col 63}{space 4}-.7388606{col 76}{space 3} .0660221
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2}-.1344606{col 35}{space 2} .1228446{col 46}{space 1}   -1.09{col 55}{space 3}0.282{col 63}{space 4}-.3850037{col 76}{space 3} .1160826
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2}  .060097{col 35}{space 2} .2078574{col 46}{space 1}    0.29{col 55}{space 3}0.774{col 63}{space 4}-.3638309{col 76}{space 3} .4840249
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2}-.4672677{col 35}{space 2} .1826785{col 46}{space 1}   -2.56{col 55}{space 3}0.016{col 63}{space 4} -.839843{col 76}{space 3}-.0946924
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2} 1818.996{col 35}{space 2}  3143.82{col 46}{space 1}    0.58{col 55}{space 3}0.567{col 63}{space 4}-4592.866{col 76}{space 3} 8230.858
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2} 126.4716{col 35}{space 2}  1245.09{col 46}{space 1}    0.10{col 55}{space 3}0.920{col 63}{space 4}-2412.906{col 76}{space 3} 2665.849
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2}-18.47901{col 35}{space 2} 32.27825{col 46}{space 1}   -0.57{col 55}{space 3}0.571{col 63}{space 4}-84.31094{col 76}{space 3} 47.35291
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2}-4.805525{col 35}{space 2} 8.878507{col 46}{space 1}   -0.54{col 55}{space 3}0.592{col 63}{space 4}-22.91336{col 76}{space 3} 13.30231
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2}-1.515043{col 35}{space 2} 24.40412{col 46}{space 1}   -0.06{col 55}{space 3}0.951{col 63}{space 4}-51.28758{col 76}{space 3} 48.25749
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.456
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0063
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   7.275
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   8.758
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}8.7582557

{txt}added scalar:
                e(F_u) =  {res}7.4556525

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.82
{txt}{col 55}Prob > F      = {res}  0.0129
{txt}Total (centered) SS     = {res} 8937.800927{txt}{col 55}Centered R2   = {res} -0.0704
{txt}Total (uncentered) SS   = {res} 8937.800927{txt}{col 55}Uncentered R2 = {res} -0.0704
{txt}Residual SS             = {res} 9567.037596{txt}{col 55}Root MSE      = {res}    4.79

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         perc_bna_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2} .8292961{col 35}{space 2} .3320843{col 46}{space 1}    2.50{col 55}{space 3}0.018{col 63}{space 4} .1520057{col 76}{space 3} 1.506587
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2}-.2950199{col 35}{space 2}  .150133{col 46}{space 1}   -1.97{col 55}{space 3}0.058{col 63}{space 4}-.6012181{col 76}{space 3} .0111783
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2}-.0394789{col 35}{space 2} .0877739{col 46}{space 1}   -0.45{col 55}{space 3}0.656{col 63}{space 4}-.2184949{col 76}{space 3} .1395371
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2}-.0716457{col 35}{space 2} .1387832{col 46}{space 1}   -0.52{col 55}{space 3}0.609{col 63}{space 4}-.3546959{col 76}{space 3} .2114046
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2}-.0833633{col 35}{space 2} .1293967{col 46}{space 1}   -0.64{col 55}{space 3}0.524{col 63}{space 4}-.3472697{col 76}{space 3} .1805431
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2}-61.48165{col 35}{space 2} 1345.634{col 46}{space 1}   -0.05{col 55}{space 3}0.964{col 63}{space 4} -2805.92{col 76}{space 3} 2682.956
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2}-1347.204{col 35}{space 2} 532.1577{col 46}{space 1}   -2.53{col 55}{space 3}0.017{col 63}{space 4}-2432.547{col 76}{space 3}-261.8613
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2}-1.441518{col 35}{space 2}  13.7675{col 46}{space 1}   -0.10{col 55}{space 3}0.917{col 63}{space 4}-29.52053{col 76}{space 3} 26.63749
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2}-3.812921{col 35}{space 2}  3.92126{col 46}{space 1}   -0.97{col 55}{space 3}0.338{col 63}{space 4}-11.81038{col 76}{space 3} 4.184541
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2} 28.57131{col 35}{space 2}  10.5231{col 46}{space 1}    2.72{col 55}{space 3}0.011{col 63}{space 4}  7.10931{col 76}{space 3} 50.03331
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.495
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0062
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   7.312
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   9.917
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}9.9171393

{txt}added scalar:
                e(F_u) =  {res}7.4949551

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    1.24
{txt}{col 55}Prob > F      = {res}  0.3034
{txt}Total (centered) SS     = {res} 6008.066893{txt}{col 55}Centered R2   = {res} -0.0386
{txt}Total (uncentered) SS   = {res} 6008.066893{txt}{col 55}Uncentered R2 = {res} -0.0386
{txt}Residual SS             = {res} 6240.003114{txt}{col 55}Root MSE      = {res}   3.873

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         perc_bna_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2}-.1291714{col 35}{space 2}  .212719{col 46}{space 1}   -0.61{col 55}{space 3}0.548{col 63}{space 4}-.5630147{col 76}{space 3} .3046719
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2} -.161847{col 35}{space 2} .1024666{col 46}{space 1}   -1.58{col 55}{space 3}0.124{col 63}{space 4}-.3708289{col 76}{space 3} .0471349
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2} .0737675{col 35}{space 2} .0629874{col 46}{space 1}    1.17{col 55}{space 3}0.250{col 63}{space 4}-.0546962{col 76}{space 3} .2022311
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2} .0101149{col 35}{space 2} .1154046{col 46}{space 1}    0.09{col 55}{space 3}0.931{col 63}{space 4}-.2252544{col 76}{space 3} .2454841
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2}-.0866421{col 35}{space 2} .0679216{col 46}{space 1}   -1.28{col 55}{space 3}0.212{col 63}{space 4}-.2251692{col 76}{space 3}  .051885
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2}-2474.949{col 35}{space 2} 2161.869{col 46}{space 1}   -1.14{col 55}{space 3}0.261{col 63}{space 4} -6884.11{col 76}{space 3} 1934.212
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2}-220.9638{col 35}{space 2} 646.7335{col 46}{space 1}   -0.34{col 55}{space 3}0.735{col 63}{space 4}-1539.985{col 76}{space 3} 1098.058
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2} 25.12526{col 35}{space 2} 21.64007{col 46}{space 1}    1.16{col 55}{space 3}0.254{col 63}{space 4}-19.00995{col 76}{space 3} 69.26048
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2} 2.743656{col 35}{space 2} 4.199948{col 46}{space 1}    0.65{col 55}{space 3}0.518{col 63}{space 4}-5.822193{col 76}{space 3} 11.30951
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2} 3.794132{col 35}{space 2} 13.11612{col 46}{space 1}    0.29{col 55}{space 3}0.774{col 63}{space 4}-22.95637{col 76}{space 3} 30.54463
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.908
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0049
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   7.150
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  10.400
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}10.399895

{txt}added scalar:
                e(F_u) =  {res}7.9076698

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.50
{txt}{col 55}Prob > F      = {res}  0.0249
{txt}Total (centered) SS     = {res} 8951.441339{txt}{col 55}Centered R2   = {res} -0.4101
{txt}Total (uncentered) SS   = {res} 8951.441339{txt}{col 55}Uncentered R2 = {res} -0.4101
{txt}Residual SS             = {res} 12622.82935{txt}{col 55}Root MSE      = {res}   5.508

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         perc_bna_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2}-.7596674{col 35}{space 2}  .298304{col 46}{space 1}   -2.55{col 55}{space 3}0.016{col 63}{space 4}-1.368062{col 76}{space 3}-.1512724
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2}-.0127482{col 35}{space 2}  .164758{col 46}{space 1}   -0.08{col 55}{space 3}0.939{col 63}{space 4}-.3487743{col 76}{space 3} .3232779
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2}  .036776{col 35}{space 2} .1161709{col 46}{space 1}    0.32{col 55}{space 3}0.754{col 63}{space 4}-.2001562{col 76}{space 3} .2737081
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2} .0171854{col 35}{space 2} .1290373{col 46}{space 1}    0.13{col 55}{space 3}0.895{col 63}{space 4}-.2459879{col 76}{space 3} .2803586
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2} .0445912{col 35}{space 2} .1483993{col 46}{space 1}    0.30{col 55}{space 3}0.766{col 63}{space 4}-.2580711{col 76}{space 3} .3472535
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2}-771.9662{col 35}{space 2} 1991.202{col 46}{space 1}   -0.39{col 55}{space 3}0.701{col 63}{space 4}-4833.049{col 76}{space 3} 3289.116
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2}-882.9696{col 35}{space 2} 918.3946{col 46}{space 1}   -0.96{col 55}{space 3}0.344{col 63}{space 4}-2756.048{col 76}{space 3} 990.1086
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2}   6.6312{col 35}{space 2} 20.12852{col 46}{space 1}    0.33{col 55}{space 3}0.744{col 63}{space 4}-34.42118{col 76}{space 3} 47.68358
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2}-1.719474{col 35}{space 2} 6.024189{col 46}{space 1}   -0.29{col 55}{space 3}0.777{col 63}{space 4}-14.00589{col 76}{space 3} 10.56694
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2}  18.6713{col 35}{space 2} 18.39668{col 46}{space 1}    1.01{col 55}{space 3}0.318{col 63}{space 4}-18.84898{col 76}{space 3} 56.19158
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.688
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0056
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   7.073
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   8.975
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}8.9750036

{txt}added scalar:
                e(F_u) =  {res}7.6876968

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    1.56
{txt}{col 55}Prob > F      = {res}  0.1662
{txt}Total (centered) SS     = {res} 4170.341767{txt}{col 55}Centered R2   = {res} -0.2330
{txt}Total (uncentered) SS   = {res} 4170.341767{txt}{col 55}Uncentered R2 = {res} -0.2330
{txt}Residual SS             = {res} 5141.879592{txt}{col 55}Root MSE      = {res}   3.516

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         perc_bna_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2} .4066102{col 35}{space 2} .1928281{col 46}{space 1}    2.11{col 55}{space 3}0.043{col 63}{space 4} .0133348{col 76}{space 3} .7998857
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2} .0159333{col 35}{space 2} .0782441{col 46}{space 1}    0.20{col 55}{space 3}0.840{col 63}{space 4}-.1436465{col 76}{space 3} .1755131
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2} -.002309{col 35}{space 2} .0607587{col 46}{space 1}   -0.04{col 55}{space 3}0.970{col 63}{space 4}-.1262272{col 76}{space 3} .1216092
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2}-.0430465{col 35}{space 2}  .102469{col 46}{space 1}   -0.42{col 55}{space 3}0.677{col 63}{space 4}-.2520334{col 76}{space 3} .1659405
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2}-.0460053{col 35}{space 2} .0882727{col 46}{space 1}   -0.52{col 55}{space 3}0.606{col 63}{space 4}-.2260388{col 76}{space 3} .1340281
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2}-762.7916{col 35}{space 2} 1440.688{col 46}{space 1}   -0.53{col 55}{space 3}0.600{col 63}{space 4}-3701.095{col 76}{space 3} 2175.511
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2}-978.0523{col 35}{space 2} 567.5405{col 46}{space 1}   -1.72{col 55}{space 3}0.095{col 63}{space 4}-2135.559{col 76}{space 3} 179.4542
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2} 6.552299{col 35}{space 2} 14.56377{col 46}{space 1}    0.45{col 55}{space 3}0.656{col 63}{space 4}-23.15072{col 76}{space 3} 36.25531
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2} 8.885836{col 35}{space 2} 3.673057{col 46}{space 1}    2.42{col 55}{space 3}0.022{col 63}{space 4} 1.394586{col 76}{space 3} 16.37709
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2} 17.33475{col 35}{space 2} 11.13684{col 46}{space 1}    1.56{col 55}{space 3}0.130{col 63}{space 4}-5.378987{col 76}{space 3} 40.04848
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.516
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0035
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   7.440
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  11.595
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}11.594547

{txt}added scalar:
                e(F_u) =  {res}8.5157416

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.57
{txt}{col 55}Prob > F      = {res}  0.0216
{txt}Total (centered) SS     = {res} 5094.179372{txt}{col 55}Centered R2   = {res}  0.0293
{txt}Total (uncentered) SS   = {res} 5094.179372{txt}{col 55}Uncentered R2 = {res}  0.0293
{txt}Residual SS             = {res} 4944.775178{txt}{col 55}Root MSE      = {res}   3.448

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         perc_bna_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2} .1816584{col 35}{space 2}  .261386{col 46}{space 1}    0.69{col 55}{space 3}0.492{col 63}{space 4}-.3514419{col 76}{space 3} .7147586
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2}-.1225054{col 35}{space 2} .0774174{col 46}{space 1}   -1.58{col 55}{space 3}0.124{col 63}{space 4}-.2803991{col 76}{space 3} .0353883
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2}-.0001654{col 35}{space 2} .0843659{col 46}{space 1}   -0.00{col 55}{space 3}0.998{col 63}{space 4}-.1722308{col 76}{space 3}    .1719
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2} -.051952{col 35}{space 2} .0955811{col 46}{space 1}   -0.54{col 55}{space 3}0.591{col 63}{space 4}-.2468909{col 76}{space 3} .1429869
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2}-.0336635{col 35}{space 2} .0934016{col 46}{space 1}   -0.36{col 55}{space 3}0.721{col 63}{space 4}-.2241573{col 76}{space 3} .1568304
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2} -78.5627{col 35}{space 2} 903.4027{col 46}{space 1}   -0.09{col 55}{space 3}0.931{col 63}{space 4}-1921.065{col 76}{space 3} 1763.939
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2}-1097.907{col 35}{space 2} 479.6058{col 46}{space 1}   -2.29{col 55}{space 3}0.029{col 63}{space 4} -2076.07{col 76}{space 3}-119.7447
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2}-.7408173{col 35}{space 2} 9.217372{col 46}{space 1}   -0.08{col 55}{space 3}0.936{col 63}{space 4}-19.53977{col 76}{space 3} 18.05814
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2} 4.745222{col 35}{space 2} 4.053793{col 46}{space 1}    1.17{col 55}{space 3}0.251{col 63}{space 4}-3.522543{col 76}{space 3} 13.01299
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2} 20.98254{col 35}{space 2} 9.467663{col 46}{space 1}    2.22{col 55}{space 3}0.034{col 63}{space 4} 1.673118{col 76}{space 3} 40.29197
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.472
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   6.981
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   8.596
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}8.5958226

{txt}added scalar:
                e(F_u) =  {res}8.4721953

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    1.85
{txt}{col 55}Prob > F      = {res}  0.0930
{txt}Total (centered) SS     = {res}  6125.33048{txt}{col 55}Centered R2   = {res} -0.0500
{txt}Total (uncentered) SS   = {res}  6125.33048{txt}{col 55}Uncentered R2 = {res} -0.0500
{txt}Residual SS             = {res} 6431.318796{txt}{col 55}Root MSE      = {res}   3.932

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         perc_bna_ins{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}perc_i_full {c |}{col 23}{res}{space 2} .3193355{col 35}{space 2}  .221298{col 46}{space 1}    1.44{col 55}{space 3}0.159{col 63}{space 4}-.1320049{col 76}{space 3} .7706758
{txt}{space 21} {c |}
c.perc_i_full#c.split {c |}{col 23}{res}{space 2}-.0849516{col 35}{space 2} .1006564{col 46}{space 1}   -0.84{col 55}{space 3}0.405{col 63}{space 4}-.2902416{col 76}{space 3} .1203384
{txt}{space 21} {c |}
{space 5}perc_b_1903_1912 {c |}{col 23}{res}{space 2}-.1152525{col 35}{space 2} .0617325{col 46}{space 1}   -1.87{col 55}{space 3}0.071{col 63}{space 4}-.2411568{col 76}{space 3} .0106517
{txt}{space 5}perc_b_1913_1922 {c |}{col 23}{res}{space 2} .0631534{col 35}{space 2} .0951449{col 46}{space 1}    0.66{col 55}{space 3}0.512{col 63}{space 4}-.1308958{col 76}{space 3} .2572027
{txt}{space 5}perc_b_1923_1932 {c |}{col 23}{res}{space 2}-.1274727{col 35}{space 2} .1176942{col 46}{space 1}   -1.08{col 55}{space 3}0.287{col 63}{space 4}-.3675116{col 76}{space 3} .1125663
{txt}{space 14}rdd_lat {c |}{col 23}{res}{space 2}-1740.039{col 35}{space 2} 1653.179{col 46}{space 1}   -1.05{col 55}{space 3}0.301{col 63}{space 4} -5111.72{col 76}{space 3} 1631.643
{txt}{space 14}rdd_lon {c |}{col 23}{res}{space 2}-980.2042{col 35}{space 2} 599.1358{col 46}{space 1}   -1.64{col 55}{space 3}0.112{col 63}{space 4} -2202.15{col 76}{space 3} 241.7414
{txt}{space 12}rdd_lat_2 {c |}{col 23}{res}{space 2} 16.53707{col 35}{space 2} 16.76646{col 46}{space 1}    0.99{col 55}{space 3}0.332{col 63}{space 4}-17.65836{col 76}{space 3}  50.7325
{txt}{space 12}rdd_lon_2 {c |}{col 23}{res}{space 2} 7.446506{col 35}{space 2} 3.939258{col 46}{space 1}    1.89{col 55}{space 3}0.068{col 63}{space 4}-.5876642{col 76}{space 3} 15.48068
{txt}{space 10}rdd_lat_lon {c |}{col 23}{res}{space 2} 17.67924{col 35}{space 2} 11.80377{col 46}{space 1}    1.50{col 55}{space 3}0.144{col 63}{space 4}-6.394718{col 76}{space 3} 41.75319
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.103
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0044
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   7.024
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   8.616
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full c.perc_i_full#c.split
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927 c.perc_e_1908_1927#c.split
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}8.6155978

{txt}added scalar:
                e(F_u) =  {res}8.1027748

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    215{col 22} .5876707{col 34} .2068423{col 46} 3.032903{col 58} .1799616{col 70} .9953799
       {txt}1 {c |}{res}{col 12}     92{col 22} .8074534{col 34} .4006832{col 46} 3.843218{col 58} .0115456{col 70} 1.603361
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    307{col 22} .6535339{col 34} .1878699{col 46} 3.291746{col 58} .2838536{col 70} 1.023214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2197827{col 34} .4105719{col 58}-1.027695{col 70} .5881293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5353
{txt}H0: diff = 0                                     Degrees of freedom = {res}     305

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2964         {txt}Pr(|T| > |t|) = {res}0.5928          {txt}Pr(T > t) = {res}0.7036

{txt}added scalar:
              e(dif_p) =  {res}.59282651
{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_1927         "\\ Eligible births (\%)"
{txt}
{com}. la var split    "Catholic"
{txt}
{com}. 
. // First-Stage
. 
. estout P1965T1_VOTE_RF P1969T1_VOTE_RF P1974T1_VOTE_RF P1995T1_VOTE_RF P2002T1_VOTE_RF P2007T1_VOTE_RF P2012T1_VOTE_RF P2017T1_VOTE_RF ///
>         using "$results\\$program.tex", replace style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_e_1908_1927 c.perc_e_1908_1927#c.split) ///
>         order(perc_e_1908_1927 c.perc_e_1908_1927#c.split) ///
>         varlabels(perc_e_1908_1927 "\\ Eligible births (\%)" c.perc_e_1908_1927#c.split "[0.3em] Eligible births (\%) $ \times $ Catholic") ////
>         title(Estimation strategy: Presence of protestants) ///
>         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: Reduced-Form Estimates. Dep. Variable: Radical right (\% of registered){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 -(}Estimation strategy: Presence of protestants\label{c -(}EEREV-D-21-00004_TableC2{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: Reduced-Form Estimates. Dep. Variable: Radical right (\% of registered){c )-}\\
\hline
\\ Eligible births (\%)&     --0.016   &               &       0.003   &       0.271** &       0.170*  &       0.013   &       0.054   &       0.027   \\
                    &     (0.028)   &               &     (0.004)   &     (0.100)   &     (0.084)   &     (0.049)   &     (0.079)   &     (0.087)   \\
[0.3em] Eligible births (\%) $ \times $ Catholic&     --0.005   &               &       0.000   &     --0.019   &       0.011   &     --0.007   &     --0.007   &     --0.053   \\
                    &     (0.009)   &               &     (0.004)   &     (0.047)   &     (0.044)   &     (0.031)   &     (0.047)   &     (0.050)   \\

\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC2.tex"'})

{com}. 
. estout P1965T1_ABST_RF P1969T1_ABST_RF P1974T1_ABST_RF P1995T1_ABST_RF P2002T1_ABST_RF P2007T1_ABST_RF P2012T1_ABST_RF P2017T1_ABST_RF ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_e_1908_1927 c.perc_e_1908_1927#c.split) ///
>         order(perc_e_1908_1927 c.perc_e_1908_1927#c.split) ///
>         varlabels(perc_e_1908_1927 "\\ Eligible births (\%)" c.perc_e_1908_1927#c.split "[0.3em] Eligible (\%) $ \times $ Catholic") ////
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: Reduced-Form 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 B: Reduced-Form Estimates. Dep. Variable: Abstention (\% of registered){c )-}\\
\hline
\\ Eligible births (\%)&       0.262***&       0.385***&       0.215***&     --0.028   &     --0.174** &       0.099** &       0.050   &       0.082   \\
                    &     (0.079)   &     (0.132)   &     (0.076)   &     (0.056)   &     (0.072)   &     (0.037)   &     (0.063)   &     (0.052)   \\
[0.3em] Eligible (\%) $ \times $ Catholic&     --0.105   &     --0.109*  &     --0.111*  &     --0.063   &     --0.029   &       0.011   &     --0.044   &     --0.025   \\
                    &     (0.067)   &     (0.056)   &     (0.062)   &     (0.038)   &     (0.048)   &     (0.025)   &     (0.030)   &     (0.036)   \\

\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC2.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)))  ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full c.perc_i_full#c.split) ///
>         order(perc_i_full c.perc_i_full#c.split) ///
>         varlabels(perc_i_full "\\ Conscripted (\%)" c.perc_i_full#c.split "[0.3em] Conscripted (\%) $ \times $ Catholic") ////
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C: 2SLS Estimates. Dep. Variable: Radical right-wing (\% 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: Radical right-wing (\% of registered){c )-}\\
\hline
\\ Conscripted (\%) &     --0.067   &               &       0.011   &       1.095***&       0.739** &       0.051   &       0.211   &       0.084   \\
                    &     (0.125)   &               &     (0.017)   &     (0.383)   &     (0.325)   &     (0.200)   &     (0.290)   &     (0.350)   \\
[0.3em] Conscripted (\%) $ \times $ Catholic&     --0.012   &               &       0.001   &     --0.091   &     --0.031   &     --0.021   &     --0.026   &     --0.144   \\
                    &     (0.027)   &               &     (0.009)   &     (0.168)   &     (0.163)   &     (0.083)   &     (0.131)   &     (0.133)   \\

\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC2.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)))  ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full c.perc_i_full#c.split) ///
>         order(perc_i_full c.perc_i_full#c.split) ///
>         varlabels(perc_i_full "\\ Conscripted (\%)" c.perc_i_full#c.split "[0.3em] Conscripted (\%) $ \times $ Catholic") ////
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel D: 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 D: 2SLS Estimates. Dep. Variable: Abstention (\% of registered){c )-}\\
\hline
\\ Conscripted (\%) &       1.048** &       1.494** &       0.829** &     --0.129   &     --0.760** &       0.407** &       0.182   &       0.319   \\
                    &     (0.407)   &     (0.638)   &     (0.332)   &     (0.213)   &     (0.298)   &     (0.193)   &     (0.261)   &     (0.221)   \\
[0.3em] Conscripted (\%) $ \times $ Catholic&     --0.305   &     --0.336*  &     --0.295*  &     --0.162   &     --0.013   &       0.016   &     --0.123   &     --0.085   \\
                    &     (0.199)   &     (0.197)   &     (0.150)   &     (0.102)   &     (0.165)   &     (0.078)   &     (0.077)   &     (0.101)   \\


{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC2.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 F_u N N_clust, lab("First-stage $ F $-statistic" "Underidentification $ F $-statistic" "Observations" "Clusters") fmt(2 2 %9.0fc %9.0fc)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         drop(*) ///     
>         indicate( ///   
>         "Border segment FE = 0.borderfe25" ///
>         "Historical dialect FE = 0.dialect_lux" ///
>         "Full set of controls = perc_b_1903_1912" ///
>         , labels(Yes )) ///
>         prehead("\\ Lat-lon polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ ") ///
>         posthead("") ///
>         prefoot("\hline") ///
>         postfoot("\hline" "\hline" ///
>         "\end{c -(}tabular*{c )-}" /// 
>         "\end{c -(}scriptsize{c )-}" ///
>         "\begin{c -(}tablenotes{c )-}[normal,flushleft]" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\item \emph{c -(}Notes{c )-}:" /// 
>         "2SLS estimates of the effect of conscription into the Wehrmacht on support for radical right-wing candidates and on abstention. " ///
>         "Heterogeneous effects with respect to religious affiliation. A threshold of 25\% is used to classify municipalities into Roman-Catholic and Protestant. " ///
>         "The unit of observation is a municipality. " ///
>         "Standard errors clustered at the canton level in parentheses. " ///
>         "Panels A: Reduced-form estimates with radical right-wing vote and abstention as the outcome, respectively; " ///
>         "Panels B and C: 2SLS estimates. " ///
>         "Each column presents the estimation for a different election. " ///
>         "All specifications include a quadratic polynomial in latitude and longitude ($ 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&        8.48   &        8.76   &        9.92   &       10.40   &        8.98   &       11.59   &        8.60   &        8.62   \\
Underidentification $ F $-statistic&        7.37   &        7.46   &        7.49   &        7.91   &        7.69   &        8.52   &        8.47   &        8.10   \\
Observations        &         462   &         462   &         462   &         462   &         462   &         462   &         462   &         462   \\
Clusters            &          32   &          32   &          32   &          32   &          32   &          32   &          32   &          32   \\
\hline
\hline
\end{c -(}tabular*{c )-}
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\begin{c -(}scriptsize{c )-}
\item \emph{c -(}Notes{c )-}:
2SLS estimates of the effect of conscription into the Wehrmacht on support for radical right-wing candidates and on abstention. 
Heterogeneous effects with respect to religious affiliation. A threshold of 25\% is used to classify municipalities into Roman-Catholic and Protestant. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panels A: Reduced-form estimates with radical right-wing vote and abstention as the outcome, respectively; 
Panels B and C: 2SLS estimates. 
Each column presents the estimation for a different election. 
All specifications include a quadratic polynomial in latitude and longitude ($ 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 )-}
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\end{c -(}table{c )-}
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