{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE C8 ****
. 
. clear all
{res}{txt}
{com}. set mem 2g
{txt}{bf:set memory} ignored.
{p 4 4 2}
Memory no longer
needs to be set in modern Statas;
memory adjustments are performed on the fly
automatically.
{p_end}

{com}. set more off
{txt}
{com}. 
. /*      
>         OUTLINE
>         1. REGRESSIONS
>         2. TABLE FOR PAPER
> */
. 
. **************************
. ***** 1. REGRESSIONS *****
. **************************
. 
. // Import casulaties data
. 
. use $data\EEREV-D-21-00004_Data_Municipalities.dta, clear
{txt}
{com}. 
. // 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}. 
. // Distance from border
. 
. g dist_5767=dist_d5767
{txt}(2,928 missing values generated)

{com}. replace dist_5767=-dist_5767 if dep==57
{txt}(5,648 real changes made)

{com}. 
. // First stage
. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}. 
.         ivreghdfe perc_i_full perc_e_1908_1927 ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w dist_5767 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect pop_jew water) partial($sigma $w)
{txt}  3{com}. 
.         estimates store P`year'T1_FS1
{txt}  4{com}.         sum perc_i_full  if annee==`year' & sample==1
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         test perc_e_1908_1927
{txt}  8{com}.         estadd scalar F_fs=r(F)
{txt}  9{com}. 
. {c )-}
{res}{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}   30.19
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5921.765849{txt}{col 55}Centered R2   = {res}  0.0676
{txt}Total (uncentered) SS   = {res} 5921.765849{txt}{col 55}Uncentered R2 = {res}  0.0676
{txt}Residual SS             = {res} 5521.690889{txt}{col 55}Root MSE      = {res}   3.626

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     perc_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1340389{col 30}{space 2} .0705264{col 41}{space 1}    1.90{col 50}{space 3}0.067{col 58}{space 4}-.0098007{col 71}{space 3} .2778784
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0097909{col 30}{space 2} .0553764{col 41}{space 1}    0.18{col 50}{space 3}0.861{col 58}{space 4}-.1031501{col 71}{space 3} .1227319
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0308943{col 30}{space 2} .1668532{col 41}{space 1}   -0.19{col 50}{space 3}0.854{col 58}{space 4}-.3711937{col 71}{space 3}  .309405
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0477864{col 30}{space 2} .1322735{col 41}{space 1}   -0.36{col 50}{space 3}0.720{col 58}{space 4}-.3175599{col 71}{space 3} .2219872
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2}  .103843{col 30}{space 2}  .031589{col 41}{space 1}    3.29{col 50}{space 3}0.003{col 58}{space 4} .0394169{col 71}{space 3} .1682691
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    3.61
{txt}{col 13}Prob > F ={res}    0.0667

{txt}added scalar:
               e(F_fs) =  {res}3.6120867
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}   30.15
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res}  5983.15096{txt}{col 55}Centered R2   = {res}  0.0755
{txt}Total (uncentered) SS   = {res}  5983.15096{txt}{col 55}Uncentered R2 = {res}  0.0755
{txt}Residual SS             = {res} 5531.678504{txt}{col 55}Root MSE      = {res}   3.629

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     perc_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1403387{col 30}{space 2} .0722732{col 41}{space 1}    1.94{col 50}{space 3}0.061{col 58}{space 4}-.0070636{col 71}{space 3} .2877409
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0094374{col 30}{space 2} .0551529{col 41}{space 1}    0.17{col 50}{space 3}0.865{col 58}{space 4}-.1030476{col 71}{space 3} .1219224
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0355556{col 30}{space 2} .1686931{col 41}{space 1}   -0.21{col 50}{space 3}0.834{col 58}{space 4}-.3796073{col 71}{space 3} .3084962
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0492437{col 30}{space 2} .1358014{col 41}{space 1}   -0.36{col 50}{space 3}0.719{col 58}{space 4}-.3262125{col 71}{space 3} .2277251
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} .1124405{col 30}{space 2} .0329508{col 41}{space 1}    3.41{col 50}{space 3}0.002{col 58}{space 4} .0452368{col 71}{space 3} .1796442
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    3.77
{txt}{col 13}Prob > F ={res}    0.0613

{txt}added scalar:
               e(F_fs) =  {res}3.7705073
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}   36.51
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5837.681738{txt}{col 55}Centered R2   = {res}  0.0773
{txt}Total (uncentered) SS   = {res} 5837.681738{txt}{col 55}Uncentered R2 = {res}  0.0773
{txt}Residual SS             = {res} 5386.163331{txt}{col 55}Root MSE      = {res}   3.581

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     perc_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1470303{col 30}{space 2} .0680772{col 41}{space 1}    2.16{col 50}{space 3}0.039{col 58}{space 4} .0081859{col 71}{space 3} .2858747
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0004147{col 30}{space 2} .0544603{col 41}{space 1}   -0.01{col 50}{space 3}0.994{col 58}{space 4}-.1114873{col 71}{space 3} .1106579
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0273482{col 30}{space 2} .1531045{col 41}{space 1}   -0.18{col 50}{space 3}0.859{col 58}{space 4}-.3396068{col 71}{space 3} .2849105
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0802177{col 30}{space 2}  .122319{col 41}{space 1}   -0.66{col 50}{space 3}0.517{col 58}{space 4} -.329689{col 71}{space 3} .1692536
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} .1083291{col 30}{space 2} .0302901{col 41}{space 1}    3.58{col 50}{space 3}0.001{col 58}{space 4} .0465521{col 71}{space 3} .1701061
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    4.66
{txt}{col 13}Prob > F ={res}    0.0386

{txt}added scalar:
               e(F_fs) =  {res}4.6645536
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}   34.09
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5681.141137{txt}{col 55}Centered R2   = {res}  0.0722
{txt}Total (uncentered) SS   = {res} 5681.141137{txt}{col 55}Uncentered R2 = {res}  0.0722
{txt}Residual SS             = {res}  5271.12646{txt}{col 55}Root MSE      = {res}   3.547

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     perc_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1354753{col 30}{space 2} .0640853{col 41}{space 1}    2.11{col 50}{space 3}0.043{col 58}{space 4} .0047725{col 71}{space 3} .2661782
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0127312{col 30}{space 2} .0563105{col 41}{space 1}    0.23{col 50}{space 3}0.823{col 58}{space 4} -.102115{col 71}{space 3} .1275773
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0921751{col 30}{space 2} .1569684{col 41}{space 1}   -0.59{col 50}{space 3}0.561{col 58}{space 4}-.4123142{col 71}{space 3}  .227964
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0844794{col 30}{space 2} .1028455{col 41}{space 1}   -0.82{col 50}{space 3}0.418{col 58}{space 4}-.2942341{col 71}{space 3} .1252754
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} .1137014{col 30}{space 2} .0265811{col 41}{space 1}    4.28{col 50}{space 3}0.000{col 58}{space 4} .0594887{col 71}{space 3}  .167914
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    4.47
{txt}{col 13}Prob > F ={res}    0.0427

{txt}added scalar:
               e(F_fs) =  {res}4.4689298
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}   31.40
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5647.826323{txt}{col 55}Centered R2   = {res}  0.0747
{txt}Total (uncentered) SS   = {res} 5647.826323{txt}{col 55}Uncentered R2 = {res}  0.0747
{txt}Residual SS             = {res}  5225.78015{txt}{col 55}Root MSE      = {res}   3.532

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     perc_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1223053{col 30}{space 2} .0620599{col 41}{space 1}    1.97{col 50}{space 3}0.058{col 58}{space 4}-.0042667{col 71}{space 3} .2488774
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0047252{col 30}{space 2} .0530294{col 41}{space 1}   -0.09{col 50}{space 3}0.930{col 58}{space 4}-.1128793{col 71}{space 3} .1034289
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0544392{col 30}{space 2} .1582395{col 41}{space 1}   -0.34{col 50}{space 3}0.733{col 58}{space 4}-.3771707{col 71}{space 3} .2682924
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0340452{col 30}{space 2} .1082531{col 41}{space 1}   -0.31{col 50}{space 3}0.755{col 58}{space 4}-.2548289{col 71}{space 3} .1867385
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} .1210642{col 30}{space 2}  .026216{col 41}{space 1}    4.62{col 50}{space 3}0.000{col 58}{space 4} .0675963{col 71}{space 3} .1745321
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    3.88
{txt}{col 13}Prob > F ={res}    0.0577

{txt}added scalar:
               e(F_fs) =  {res}3.8839061
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}   43.36
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5992.787438{txt}{col 55}Centered R2   = {res}  0.0734
{txt}Total (uncentered) SS   = {res} 5992.787438{txt}{col 55}Uncentered R2 = {res}  0.0734
{txt}Residual SS             = {res} 5552.871637{txt}{col 55}Root MSE      = {res}    3.64

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     perc_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1450415{col 30}{space 2} .0609033{col 41}{space 1}    2.38{col 50}{space 3}0.024{col 58}{space 4} .0208285{col 71}{space 3} .2692545
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0044574{col 30}{space 2} .0530392{col 41}{space 1}    0.08{col 50}{space 3}0.934{col 58}{space 4}-.1037169{col 71}{space 3} .1126316
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0492953{col 30}{space 2} .1535547{col 41}{space 1}   -0.32{col 50}{space 3}0.750{col 58}{space 4}-.3624721{col 71}{space 3} .2638815
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0654162{col 30}{space 2}  .114306{col 41}{space 1}   -0.57{col 50}{space 3}0.571{col 58}{space 4}-.2985447{col 71}{space 3} .1677124
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} .1021126{col 30}{space 2} .0249932{col 41}{space 1}    4.09{col 50}{space 3}0.000{col 58}{space 4} .0511387{col 71}{space 3} .1530865
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    5.67
{txt}{col 13}Prob > F ={res}    0.0236

{txt}added scalar:
               e(F_fs) =  {res}5.6715701
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}   33.76
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5901.581999{txt}{col 55}Centered R2   = {res}  0.0755
{txt}Total (uncentered) SS   = {res} 5901.581999{txt}{col 55}Uncentered R2 = {res}  0.0755
{txt}Residual SS             = {res}  5455.99458{txt}{col 55}Root MSE      = {res}   3.609

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     perc_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1449677{col 30}{space 2} .0697724{col 41}{space 1}    2.08{col 50}{space 3}0.046{col 58}{space 4} .0026659{col 71}{space 3} .2872694
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0132488{col 30}{space 2} .0535751{col 41}{space 1}    0.25{col 50}{space 3}0.806{col 58}{space 4}-.0960183{col 71}{space 3}  .122516
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0733735{col 30}{space 2} .1681157{col 41}{space 1}   -0.44{col 50}{space 3}0.666{col 58}{space 4}-.4162476{col 71}{space 3} .2695007
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0371295{col 30}{space 2} .1161946{col 41}{space 1}   -0.32{col 50}{space 3}0.751{col 58}{space 4}-.2741098{col 71}{space 3} .1998509
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} .1034191{col 30}{space 2} .0303168{col 41}{space 1}    3.41{col 50}{space 3}0.002{col 58}{space 4} .0415876{col 71}{space 3} .1652507
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    4.32
{txt}{col 13}Prob > F ={res}    0.0461

{txt}added scalar:
               e(F_fs) =  {res}4.3169269
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}   31.77
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5912.123622{txt}{col 55}Centered R2   = {res}  0.0766
{txt}Total (uncentered) SS   = {res} 5912.123622{txt}{col 55}Uncentered R2 = {res}  0.0766
{txt}Residual SS             = {res} 5459.190397{txt}{col 55}Root MSE      = {res}    3.61

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     perc_i_full{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1391427{col 30}{space 2} .0726417{col 41}{space 1}    1.92{col 50}{space 3}0.065{col 58}{space 4}-.0090111{col 71}{space 3} .2872965
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0296697{col 30}{space 2} .0598139{col 41}{space 1}    0.50{col 50}{space 3}0.623{col 58}{space 4}-.0923216{col 71}{space 3} .1516611
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0708051{col 30}{space 2} .1780119{col 41}{space 1}   -0.40{col 50}{space 3}0.694{col 58}{space 4}-.4338627{col 71}{space 3} .2922524
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0403454{col 30}{space 2} .1088904{col 41}{space 1}   -0.37{col 50}{space 3}0.714{col 58}{space 4}-.2624289{col 71}{space 3} .1817382
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} .1064549{col 30}{space 2} .0308571{col 41}{space 1}    3.45{col 50}{space 3}0.002{col 58}{space 4} .0435214{col 71}{space 3} .1693885
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    3.67
{txt}{col 13}Prob > F ={res}    0.0647

{txt}added scalar:
               e(F_fs) =  {res}3.6690048
{txt}
{com}. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}. 
.         ivreghdfe perc_i_full perc_e_1908_1927 ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w dist_5767 c.dist_5767#c.dist_5767 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect pop_jew water) partial($sigma $w)
{txt}  3{com}. 
.         estimates store P`year'T1_FS2
{txt}  4{com}.         sum perc_i_full  if annee==`year' & sample==1
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         test perc_e_1908_1927
{txt}  8{com}.         estadd scalar F_fs=r(F)
{txt}  9{com}. 
. {c )-}
{res}{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}   24.97
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5921.765849{txt}{col 55}Centered R2   = {res}  0.0702
{txt}Total (uncentered) SS   = {res} 5921.765849{txt}{col 55}Uncentered R2 = {res}  0.0702
{txt}Residual SS             = {res} 5506.234051{txt}{col 55}Root MSE      = {res}   3.625

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}            perc_i_full{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1372333{col 37}{space 2} .0697184{col 48}{space 1}    1.97{col 57}{space 3}0.058{col 65}{space 4}-.0049583{col 78}{space 3}  .279425
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0102096{col 37}{space 2} .0550943{col 48}{space 1}    0.19{col 57}{space 3}0.854{col 65}{space 4} -.102156{col 78}{space 3} .1225753
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0391012{col 37}{space 2} .1669332{col 48}{space 1}   -0.23{col 57}{space 3}0.816{col 65}{space 4}-.3795636{col 78}{space 3} .3013612
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0389415{col 37}{space 2} .1309496{col 48}{space 1}   -0.30{col 57}{space 3}0.768{col 65}{space 4}-.3060149{col 78}{space 3}  .228132
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .1037927{col 37}{space 2} .0311525{col 48}{space 1}    3.33{col 57}{space 3}0.002{col 65}{space 4} .0402567{col 78}{space 3} .1673287
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0024682{col 37}{space 2}  .002149{col 48}{space 1}   -1.15{col 57}{space 3}0.260{col 65}{space 4} -.006851{col 78}{space 3} .0019147
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    3.87
{txt}{col 13}Prob > F ={res}    0.0580

{txt}added scalar:
               e(F_fs) =  {res}3.8745744
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}   25.93
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res}  5983.15096{txt}{col 55}Centered R2   = {res}  0.0779
{txt}Total (uncentered) SS   = {res}  5983.15096{txt}{col 55}Uncentered R2 = {res}  0.0779
{txt}Residual SS             = {res} 5517.279138{txt}{col 55}Root MSE      = {res}   3.629

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}            perc_i_full{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1432679{col 37}{space 2} .0714045{col 48}{space 1}    2.01{col 57}{space 3}0.054{col 65}{space 4}-.0023625{col 78}{space 3} .2888984
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2}  .009577{col 37}{space 2} .0547764{col 48}{space 1}    0.17{col 57}{space 3}0.862{col 65}{space 4}-.1021401{col 78}{space 3} .1212941
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0437127{col 37}{space 2} .1682599{col 48}{space 1}   -0.26{col 57}{space 3}0.797{col 65}{space 4}-.3868811{col 78}{space 3} .2994557
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0403831{col 37}{space 2} .1338643{col 48}{space 1}   -0.30{col 57}{space 3}0.765{col 65}{space 4}-.3134012{col 78}{space 3}  .232635
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .1125737{col 37}{space 2} .0325307{col 48}{space 1}    3.46{col 57}{space 3}0.002{col 65}{space 4}  .046227{col 78}{space 3} .1789205
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0023892{col 37}{space 2} .0022479{col 48}{space 1}   -1.06{col 57}{space 3}0.296{col 65}{space 4}-.0069737{col 78}{space 3} .0021953
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    4.03
{txt}{col 13}Prob > F ={res}    0.0536

{txt}added scalar:
               e(F_fs) =  {res}4.0257483
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}   30.23
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5837.681738{txt}{col 55}Centered R2   = {res}  0.0779
{txt}Total (uncentered) SS   = {res} 5837.681738{txt}{col 55}Uncentered R2 = {res}  0.0779
{txt}Residual SS             = {res} 5382.751574{txt}{col 55}Root MSE      = {res}   3.584

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}            perc_i_full{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1481369{col 37}{space 2} .0680496{col 48}{space 1}    2.18{col 57}{space 3}0.037{col 65}{space 4} .0093487{col 78}{space 3}  .286925
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0000166{col 37}{space 2} .0545256{col 48}{space 1}    0.00{col 57}{space 3}1.000{col 65}{space 4}-.1111891{col 78}{space 3} .1112223
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0310434{col 37}{space 2} .1536512{col 48}{space 1}   -0.20{col 57}{space 3}0.841{col 65}{space 4}-.3444171{col 78}{space 3} .2823303
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0754673{col 37}{space 2} .1220862{col 48}{space 1}   -0.62{col 57}{space 3}0.541{col 65}{space 4}-.3244637{col 78}{space 3} .1735291
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .1084911{col 37}{space 2} .0301424{col 48}{space 1}    3.60{col 57}{space 3}0.001{col 65}{space 4} .0470153{col 78}{space 3} .1699669
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0011732{col 37}{space 2} .0019264{col 48}{space 1}   -0.61{col 57}{space 3}0.547{col 65}{space 4} -.005102{col 78}{space 3} .0027557
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    4.74
{txt}{col 13}Prob > F ={res}    0.0372

{txt}added scalar:
               e(F_fs) =  {res}4.7388693
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}   28.36
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5681.141137{txt}{col 55}Centered R2   = {res}  0.0743
{txt}Total (uncentered) SS   = {res} 5681.141137{txt}{col 55}Uncentered R2 = {res}  0.0743
{txt}Residual SS             = {res} 5258.991533{txt}{col 55}Root MSE      = {res}   3.547

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}            perc_i_full{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1382939{col 37}{space 2} .0647002{col 48}{space 1}    2.14{col 57}{space 3}0.041{col 65}{space 4}  .006337{col 78}{space 3} .2702508
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2}  .012069{col 37}{space 2} .0560705{col 48}{space 1}    0.22{col 57}{space 3}0.831{col 65}{space 4}-.1022876{col 78}{space 3} .1264256
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0998908{col 37}{space 2} .1583946{col 48}{space 1}   -0.63{col 57}{space 3}0.533{col 65}{space 4}-.4229387{col 78}{space 3} .2231571
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0761822{col 37}{space 2} .1034448{col 48}{space 1}   -0.74{col 57}{space 3}0.467{col 65}{space 4}-.2871593{col 78}{space 3}  .134795
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .1145189{col 37}{space 2} .0268404{col 48}{space 1}    4.27{col 57}{space 3}0.000{col 65}{space 4} .0597776{col 78}{space 3} .1692602
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0022199{col 37}{space 2} .0019799{col 48}{space 1}   -1.12{col 57}{space 3}0.271{col 65}{space 4} -.006258{col 78}{space 3} .0018182
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    4.57
{txt}{col 13}Prob > F ={res}    0.0406

{txt}added scalar:
               e(F_fs) =  {res}4.5687249
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}   26.32
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5647.826323{txt}{col 55}Centered R2   = {res}  0.0749
{txt}Total (uncentered) SS   = {res} 5647.826323{txt}{col 55}Uncentered R2 = {res}  0.0749
{txt}Residual SS             = {res} 5224.849706{txt}{col 55}Root MSE      = {res}   3.535

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}            perc_i_full{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1231241{col 37}{space 2} .0620942{col 48}{space 1}    1.98{col 57}{space 3}0.056{col 65}{space 4}-.0035179{col 78}{space 3} .2497661
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2}-.0045612{col 37}{space 2} .0530166{col 48}{space 1}   -0.09{col 57}{space 3}0.932{col 65}{space 4}-.1126893{col 78}{space 3} .1035669
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0564264{col 37}{space 2} .1576034{col 48}{space 1}   -0.36{col 57}{space 3}0.723{col 65}{space 4}-.3778607{col 78}{space 3} .2650078
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2} -.031823{col 37}{space 2} .1082744{col 48}{space 1}   -0.29{col 57}{space 3}0.771{col 65}{space 4}-.2526501{col 78}{space 3} .1890041
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .1212154{col 37}{space 2} .0262383{col 48}{space 1}    4.62{col 57}{space 3}0.000{col 65}{space 4} .0677021{col 78}{space 3} .1747287
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0006128{col 37}{space 2} .0019985{col 48}{space 1}   -0.31{col 57}{space 3}0.761{col 65}{space 4}-.0046887{col 78}{space 3} .0034631
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    3.93
{txt}{col 13}Prob > F ={res}    0.0563

{txt}added scalar:
               e(F_fs) =  {res}3.9317312
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}   37.78
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5992.787438{txt}{col 55}Centered R2   = {res}  0.0748
{txt}Total (uncentered) SS   = {res} 5992.787438{txt}{col 55}Uncentered R2 = {res}  0.0748
{txt}Residual SS             = {res}  5544.75651{txt}{col 55}Root MSE      = {res}   3.642

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}            perc_i_full{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1478451{col 37}{space 2} .0614317{col 48}{space 1}    2.41{col 57}{space 3}0.022{col 65}{space 4} .0225544{col 78}{space 3} .2731358
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0045721{col 37}{space 2} .0531134{col 48}{space 1}    0.09{col 57}{space 3}0.932{col 65}{space 4}-.1037535{col 78}{space 3} .1128976
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0560052{col 37}{space 2} .1526339{col 48}{space 1}   -0.37{col 57}{space 3}0.716{col 65}{space 4}-.3673042{col 78}{space 3} .2552937
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2} -.058118{col 37}{space 2} .1131007{col 48}{space 1}   -0.51{col 57}{space 3}0.611{col 65}{space 4}-.2887884{col 78}{space 3} .1725525
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .1021355{col 37}{space 2}   .02501{col 48}{space 1}    4.08{col 57}{space 3}0.000{col 65}{space 4} .0511273{col 78}{space 3} .1531437
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0018085{col 37}{space 2} .0022447{col 48}{space 1}   -0.81{col 57}{space 3}0.427{col 65}{space 4}-.0063867{col 78}{space 3} .0027696
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    5.79
{txt}{col 13}Prob > F ={res}    0.0222

{txt}added scalar:
               e(F_fs) =  {res}5.7920133
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}   28.65
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5901.581999{txt}{col 55}Centered R2   = {res}  0.0763
{txt}Total (uncentered) SS   = {res} 5901.581999{txt}{col 55}Uncentered R2 = {res}  0.0763
{txt}Residual SS             = {res} 5451.231942{txt}{col 55}Root MSE      = {res}   3.611

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}            perc_i_full{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1482065{col 37}{space 2} .0685474{col 48}{space 1}    2.16{col 57}{space 3}0.038{col 65}{space 4} .0084031{col 78}{space 3} .2880098
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0130778{col 37}{space 2}  .053596{col 48}{space 1}    0.24{col 57}{space 3}0.809{col 65}{space 4}-.0962319{col 78}{space 3} .1223875
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0776391{col 37}{space 2} .1660883{col 48}{space 1}   -0.47{col 57}{space 3}0.643{col 65}{space 4}-.4163784{col 78}{space 3} .2611001
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0336664{col 37}{space 2} .1165866{col 48}{space 1}   -0.29{col 57}{space 3}0.775{col 65}{space 4}-.2714463{col 78}{space 3} .2041136
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .1031805{col 37}{space 2}  .029848{col 48}{space 1}    3.46{col 57}{space 3}0.002{col 65}{space 4} .0423052{col 78}{space 3} .1640558
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0014084{col 37}{space 2} .0023073{col 48}{space 1}   -0.61{col 57}{space 3}0.546{col 65}{space 4}-.0061141{col 78}{space 3} .0032973
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    4.67
{txt}{col 13}Prob > F ={res}    0.0384

{txt}added scalar:
               e(F_fs) =  {res}4.6746837
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}   27.47
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5912.123622{txt}{col 55}Centered R2   = {res}  0.0773
{txt}Total (uncentered) SS   = {res} 5912.123622{txt}{col 55}Uncentered R2 = {res}  0.0773
{txt}Residual SS             = {res} 5455.075493{txt}{col 55}Root MSE      = {res}   3.613

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}            perc_i_full{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1419679{col 37}{space 2} .0710852{col 48}{space 1}    2.00{col 57}{space 3}0.055{col 65}{space 4}-.0030112{col 78}{space 3} .2869471
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2}  .029476{col 37}{space 2} .0596444{col 48}{space 1}    0.49{col 57}{space 3}0.625{col 65}{space 4}-.0921695{col 78}{space 3} .1511215
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0736338{col 37}{space 2} .1767831{col 48}{space 1}   -0.42{col 57}{space 3}0.680{col 65}{space 4}-.4341854{col 78}{space 3} .2869178
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0367575{col 37}{space 2} .1095153{col 48}{space 1}   -0.34{col 57}{space 3}0.739{col 65}{space 4}-.2601154{col 78}{space 3} .1866003
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .1061229{col 37}{space 2} .0303849{col 48}{space 1}    3.49{col 57}{space 3}0.001{col 65}{space 4} .0441525{col 78}{space 3} .1680934
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0013109{col 37}{space 2} .0023589{col 48}{space 1}   -0.56{col 57}{space 3}0.582{col 65}{space 4} -.006122{col 78}{space 3} .0035002
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

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

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

{txt}       F(  1,    31) ={res}    3.99
{txt}{col 13}Prob > F ={res}    0.0547

{txt}added scalar:
               e(F_fs) =  {res}3.988618
{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
{txt}  4{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         
. {c )-}

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

{txt}{ralign 82:(Std. err. adjusted for {res:32} clusters in ct_1936_enc)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_b_1903_1912 {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 11}_cons {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}added scalar:
             e(mean_y) =  {res}0
{txt}
{com}. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}. 
.         ivreghdfe perc_voixexd_ins perc_e_1908_1927 ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w dist_5767 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect pop_jew water) partial($sigma $w)
{txt}  3{com}.         
.         estimates store P`year'T1_VOTE1
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{res}{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    1.81
{txt}{col 55}Prob > F      = {res}  0.1400
{txt}Total (centered) SS     = {res} 617.1098426{txt}{col 55}Centered R2   = {res}  0.0320
{txt}Total (uncentered) SS   = {res} 617.1098426{txt}{col 55}Uncentered R2 = {res}  0.0320
{txt}Residual SS             = {res} 597.3831312{txt}{col 55}Root MSE      = {res}   1.193

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}-.0256007{col 30}{space 2} .0354546{col 41}{space 1}   -0.72{col 50}{space 3}0.476{col 58}{space 4}-.0979108{col 71}{space 3} .0467095
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0253212{col 30}{space 2} .0232443{col 41}{space 1}    1.09{col 50}{space 3}0.284{col 58}{space 4}-.0220859{col 71}{space 3} .0727282
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0571874{col 30}{space 2} .0370859{col 41}{space 1}    1.54{col 50}{space 3}0.133{col 58}{space 4}-.0184497{col 71}{space 3} .1328245
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0688607{col 30}{space 2} .0368317{col 41}{space 1}   -1.87{col 50}{space 3}0.071{col 58}{space 4}-.1439794{col 71}{space 3} .0062581
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} .0134709{col 30}{space 2}  .014122{col 41}{space 1}    0.95{col 50}{space 3}0.348{col 58}{space 4}-.0153311{col 71}{space 3} .0422728
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}1.2057242
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    0.77
{txt}{col 55}Prob > F      = {res}  0.5790
{txt}Total (centered) SS     = {res} 73.62421611{txt}{col 55}Centered R2   = {res}  0.0089
{txt}Total (uncentered) SS   = {res} 73.62421611{txt}{col 55}Uncentered R2 = {res}  0.0089
{txt}Residual SS             = {res} 72.97250727{txt}{col 55}Root MSE      = {res}   .4168

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}  .002892{col 30}{space 2} .0061612{col 41}{space 1}    0.47{col 50}{space 3}0.642{col 58}{space 4}-.0096739{col 71}{space 3} .0154579
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}   .00604{col 30}{space 2} .0056506{col 41}{space 1}    1.07{col 50}{space 3}0.293{col 58}{space 4}-.0054845{col 71}{space 3} .0175645
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0130557{col 30}{space 2} .0095831{col 41}{space 1}   -1.36{col 50}{space 3}0.183{col 58}{space 4}-.0326006{col 71}{space 3} .0064893
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0109091{col 30}{space 2} .0100866{col 41}{space 1}   -1.08{col 50}{space 3}0.288{col 58}{space 4} -.031481{col 71}{space 3} .0096627
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} .0011818{col 30}{space 2} .0043906{col 41}{space 1}    0.27{col 50}{space 3}0.790{col 58}{space 4}-.0077729{col 71}{space 3} .0101365
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}.3129585
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    1.07
{txt}{col 55}Prob > F      = {res}  0.3964
{txt}Total (centered) SS     = {res} 8862.597983{txt}{col 55}Centered R2   = {res}  0.0206
{txt}Total (uncentered) SS   = {res} 8862.597983{txt}{col 55}Uncentered R2 = {res}  0.0206
{txt}Residual SS             = {res} 8679.953102{txt}{col 55}Root MSE      = {res}   4.551

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .2638952{col 30}{space 2} .1358725{col 41}{space 1}    1.94{col 50}{space 3}0.061{col 58}{space 4}-.0132186{col 71}{space 3} .5410089
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0257844{col 30}{space 2} .0858881{col 41}{space 1}    0.30{col 50}{space 3}0.766{col 58}{space 4}-.1493855{col 71}{space 3} .2009544
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.2922155{col 30}{space 2} .2067945{col 41}{space 1}   -1.41{col 50}{space 3}0.168{col 58}{space 4}-.7139756{col 71}{space 3} .1295446
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1564935{col 30}{space 2} .1330791{col 41}{space 1}   -1.18{col 50}{space 3}0.249{col 58}{space 4}  -.42791{col 71}{space 3} .1149231
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} -.085384{col 30}{space 2} .0485917{col 41}{space 1}   -1.76{col 50}{space 3}0.089{col 58}{space 4}-.1844874{col 71}{space 3} .0137194
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}22.177668
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    0.95
{txt}{col 55}Prob > F      = {res}  0.4621
{txt}Total (centered) SS     = {res} 7921.764391{txt}{col 55}Centered R2   = {res}  0.0117
{txt}Total (uncentered) SS   = {res} 7921.764391{txt}{col 55}Uncentered R2 = {res}  0.0117
{txt}Residual SS             = {res} 7829.294185{txt}{col 55}Root MSE      = {res}   4.323

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1033763{col 30}{space 2} .1034564{col 41}{space 1}    1.00{col 50}{space 3}0.325{col 58}{space 4}-.1076245{col 71}{space 3} .3143771
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0169738{col 30}{space 2} .0804232{col 41}{space 1}    0.21{col 50}{space 3}0.834{col 58}{space 4}-.1470504{col 71}{space 3}  .180998
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0102572{col 30}{space 2} .1617882{col 41}{space 1}   -0.06{col 50}{space 3}0.950{col 58}{space 4}-.3402265{col 71}{space 3} .3197121
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.110345{col 30}{space 2} .1038887{col 41}{space 1}   -1.06{col 50}{space 3}0.296{col 58}{space 4}-.3222274{col 71}{space 3} .1015375
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2}  .015175{col 30}{space 2}  .053901{col 41}{space 1}    0.28{col 50}{space 3}0.780{col 58}{space 4}-.0947568{col 71}{space 3} .1251068
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}22.249573
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    2.67
{txt}{col 55}Prob > F      = {res}  0.0405
{txt}Total (centered) SS     = {res} 5514.142028{txt}{col 55}Centered R2   = {res}  0.0203
{txt}Total (uncentered) SS   = {res} 5514.142028{txt}{col 55}Uncentered R2 = {res}  0.0203
{txt}Residual SS             = {res} 5402.005643{txt}{col 55}Root MSE      = {res}   3.591

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .0643073{col 30}{space 2} .0643826{col 41}{space 1}    1.00{col 50}{space 3}0.326{col 58}{space 4}-.0670019{col 71}{space 3} .1956166
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0318875{col 30}{space 2} .0666627{col 41}{space 1}    0.48{col 50}{space 3}0.636{col 58}{space 4}-.1040719{col 71}{space 3}  .167847
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0546985{col 30}{space 2} .1047086{col 41}{space 1}   -0.52{col 50}{space 3}0.605{col 58}{space 4}-.2682531{col 71}{space 3}  .158856
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0634908{col 30}{space 2} .0797328{col 41}{space 1}   -0.80{col 50}{space 3}0.432{col 58}{space 4}-.2261069{col 71}{space 3} .0991253
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} -.101759{col 30}{space 2} .0348985{col 41}{space 1}   -2.92{col 50}{space 3}0.007{col 58}{space 4}-.1729349{col 71}{space 3}-.0305831
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}14.88564
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    1.16
{txt}{col 55}Prob > F      = {res}  0.3519
{txt}Total (centered) SS     = {res} 7587.892197{txt}{col 55}Centered R2   = {res}  0.0111
{txt}Total (uncentered) SS   = {res} 7587.892197{txt}{col 55}Uncentered R2 = {res}  0.0111
{txt}Residual SS             = {res} 7503.592756{txt}{col 55}Root MSE      = {res}   4.232

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .0619187{col 30}{space 2} .1108769{col 41}{space 1}    0.56{col 50}{space 3}0.581{col 58}{space 4}-.1642163{col 71}{space 3} .2880537
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0225056{col 30}{space 2} .0558595{col 41}{space 1}    0.40{col 50}{space 3}0.690{col 58}{space 4}-.0914205{col 71}{space 3} .1364317
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0350294{col 30}{space 2} .1976368{col 41}{space 1}   -0.18{col 50}{space 3}0.860{col 58}{space 4}-.4381123{col 71}{space 3} .3680534
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0574994{col 30}{space 2} .1109628{col 41}{space 1}    0.52{col 50}{space 3}0.608{col 58}{space 4}-.1688108{col 71}{space 3} .2838096
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2}-.0761616{col 30}{space 2}   .04621{col 41}{space 1}   -1.65{col 50}{space 3}0.109{col 58}{space 4}-.1704074{col 71}{space 3} .0180843
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}23.237011
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    3.81
{txt}{col 55}Prob > F      = {res}  0.0083
{txt}Total (centered) SS     = {res} 9083.430189{txt}{col 55}Centered R2   = {res}  0.0360
{txt}Total (uncentered) SS   = {res} 9083.430189{txt}{col 55}Uncentered R2 = {res}  0.0360
{txt}Residual SS             = {res} 8756.416047{txt}{col 55}Root MSE      = {res}   4.571

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1403118{col 30}{space 2}  .123995{col 41}{space 1}    1.13{col 50}{space 3}0.266{col 58}{space 4}-.1125776{col 71}{space 3} .3932013
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0806626{col 30}{space 2} .0622821{col 41}{space 1}    1.30{col 50}{space 3}0.205{col 58}{space 4}-.0463625{col 71}{space 3} .2076878
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1155586{col 30}{space 2} .1494792{col 41}{space 1}   -0.77{col 50}{space 3}0.445{col 58}{space 4}-.4204235{col 71}{space 3} .1893063
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0502584{col 30}{space 2} .1360662{col 41}{space 1}    0.37{col 50}{space 3}0.714{col 58}{space 4}-.2272505{col 71}{space 3} .3277674
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2}-.1564488{col 30}{space 2}  .058319{col 41}{space 1}   -2.68{col 50}{space 3}0.012{col 58}{space 4}-.2753911{col 71}{space 3}-.0375065
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}27.274936
{txt}
{com}. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}. 
.         ivreghdfe perc_voixexd_ins perc_e_1908_1927 ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w dist_5767 c.dist_5767#c.dist_5767 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect pop_jew water) partial($sigma $w)
{txt}  3{com}.         
.         estimates store P`year'T1_VOTE2
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{res}{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.61
{txt}{col 55}Prob > F      = {res}  0.1773
{txt}Total (centered) SS     = {res} 617.1098426{txt}{col 55}Centered R2   = {res}  0.0338
{txt}Total (uncentered) SS   = {res} 617.1098426{txt}{col 55}Uncentered R2 = {res}  0.0338
{txt}Residual SS             = {res} 596.2730937{txt}{col 55}Root MSE      = {res}   1.193

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       perc_voixexd_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2}-.0247446{col 37}{space 2} .0346856{col 48}{space 1}   -0.71{col 57}{space 3}0.481{col 65}{space 4}-.0954864{col 78}{space 3} .0459972
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0254334{col 37}{space 2} .0232617{col 48}{space 1}    1.09{col 57}{space 3}0.283{col 65}{space 4}-.0220091{col 78}{space 3} .0728758
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2} .0549881{col 37}{space 2} .0357369{col 48}{space 1}    1.54{col 57}{space 3}0.134{col 65}{space 4}-.0178979{col 78}{space 3} .1278741
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0664904{col 37}{space 2} .0373349{col 48}{space 1}   -1.78{col 57}{space 3}0.085{col 65}{space 4}-.1426355{col 78}{space 3} .0096548
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .0134574{col 37}{space 2} .0142041{col 48}{space 1}    0.95{col 57}{space 3}0.351{col 65}{space 4} -.015512{col 78}{space 3} .0424267
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0006614{col 37}{space 2} .0008943{col 48}{space 1}   -0.74{col 57}{space 3}0.465{col 65}{space 4}-.0024854{col 78}{space 3} .0011625
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}1.2057242
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.59
{txt}{col 55}Prob > F      = {res}  0.1843
{txt}Total (centered) SS     = {res} 73.62421611{txt}{col 55}Centered R2   = {res}  0.0180
{txt}Total (uncentered) SS   = {res} 73.62421611{txt}{col 55}Uncentered R2 = {res}  0.0180
{txt}Residual SS             = {res} 72.29583997{txt}{col 55}Root MSE      = {res}   .4154

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       perc_voixexd_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .0023992{col 37}{space 2} .0051682{col 48}{space 1}    0.46{col 57}{space 3}0.646{col 65}{space 4}-.0081415{col 78}{space 3} .0129398
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0058479{col 37}{space 2}   .00531{col 48}{space 1}    1.10{col 57}{space 3}0.279{col 65}{space 4}-.0049818{col 78}{space 3} .0166776
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}  -.01141{col 37}{space 2} .0100192{col 48}{space 1}   -1.14{col 57}{space 3}0.264{col 65}{space 4}-.0318444{col 78}{space 3} .0090244
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0130247{col 37}{space 2} .0100829{col 48}{space 1}   -1.29{col 57}{space 3}0.206{col 65}{space 4}-.0335889{col 78}{space 3} .0075394
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .0011097{col 37}{space 2} .0039852{col 48}{space 1}    0.28{col 57}{space 3}0.783{col 65}{space 4}-.0070182{col 78}{space 3} .0092376
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2} .0005225{col 37}{space 2} .0002381{col 48}{space 1}    2.19{col 57}{space 3}0.036{col 65}{space 4}  .000037{col 78}{space 3}  .001008
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}.3129585
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    2.25
{txt}{col 55}Prob > F      = {res}  0.0644
{txt}Total (centered) SS     = {res} 8862.597983{txt}{col 55}Centered R2   = {res}  0.0342
{txt}Total (uncentered) SS   = {res} 8862.597983{txt}{col 55}Uncentered R2 = {res}  0.0342
{txt}Residual SS             = {res} 8559.358436{txt}{col 55}Root MSE      = {res}   4.525

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       perc_voixexd_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .2727806{col 37}{space 2} .1315926{col 48}{space 1}    2.07{col 57}{space 3}0.047{col 65}{space 4} .0043957{col 78}{space 3} .5411655
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0236969{col 37}{space 2} .0853133{col 48}{space 1}    0.28{col 57}{space 3}0.783{col 65}{space 4}-.1503008{col 78}{space 3} .1976946
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.3165387{col 37}{space 2} .2035758{col 48}{space 1}   -1.55{col 57}{space 3}0.130{col 65}{space 4}-.7317343{col 78}{space 3}  .098657
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.1303371{col 37}{space 2} .1281981{col 48}{space 1}   -1.02{col 57}{space 3}0.317{col 65}{space 4}-.3917989{col 78}{space 3} .1311247
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2}-.0828068{col 37}{space 2} .0478379{col 48}{space 1}   -1.73{col 57}{space 3}0.093{col 65}{space 4}-.1803728{col 78}{space 3} .0147592
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0069981{col 37}{space 2} .0025833{col 48}{space 1}   -2.71{col 57}{space 3}0.011{col 65}{space 4}-.0122668{col 78}{space 3}-.0017293
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}22.177668
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.22
{txt}{col 55}Prob > F      = {res}  0.3211
{txt}Total (centered) SS     = {res} 7921.764391{txt}{col 55}Centered R2   = {res}  0.0142
{txt}Total (uncentered) SS   = {res} 7921.764391{txt}{col 55}Uncentered R2 = {res}  0.0142
{txt}Residual SS             = {res}  7809.06702{txt}{col 55}Root MSE      = {res}   4.322

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       perc_voixexd_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1071938{col 37}{space 2} .1019263{col 48}{space 1}    1.05{col 57}{space 3}0.301{col 65}{space 4}-.1006861{col 78}{space 3} .3150738
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0177382{col 37}{space 2} .0802563{col 48}{space 1}    0.22{col 57}{space 3}0.827{col 65}{space 4}-.1459456{col 78}{space 3}  .181422
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2} -.019523{col 37}{space 2} .1625275{col 48}{space 1}   -0.12{col 57}{space 3}0.905{col 65}{space 4}    -.351{col 78}{space 3} .3119541
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2} -.099984{col 37}{space 2} .1028798{col 48}{space 1}   -0.97{col 57}{space 3}0.339{col 65}{space 4}-.3098088{col 78}{space 3} .1098408
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2}   .01588{col 37}{space 2} .0530866{col 48}{space 1}    0.30{col 57}{space 3}0.767{col 65}{space 4}-.0923908{col 78}{space 3} .1241508
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0028573{col 37}{space 2} .0029196{col 48}{space 1}   -0.98{col 57}{space 3}0.335{col 65}{space 4}-.0088118{col 78}{space 3} .0030973
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}22.249573
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    2.31
{txt}{col 55}Prob > F      = {res}  0.0584
{txt}Total (centered) SS     = {res} 5514.142028{txt}{col 55}Centered R2   = {res}  0.0236
{txt}Total (uncentered) SS   = {res} 5514.142028{txt}{col 55}Uncentered R2 = {res}  0.0236
{txt}Residual SS             = {res} 5384.271181{txt}{col 55}Root MSE      = {res}   3.589

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       perc_voixexd_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .0684519{col 37}{space 2} .0645209{col 48}{space 1}    1.06{col 57}{space 3}0.297{col 65}{space 4}-.0631394{col 78}{space 3} .2000432
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0320571{col 37}{space 2} .0668279{col 48}{space 1}    0.48{col 57}{space 3}0.635{col 65}{space 4}-.1042394{col 78}{space 3} .1683536
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0646178{col 37}{space 2} .1056409{col 48}{space 1}   -0.61{col 57}{space 3}0.545{col 65}{space 4}-.2800739{col 78}{space 3} .1508382
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0527019{col 37}{space 2} .0801203{col 48}{space 1}   -0.66{col 57}{space 3}0.516{col 65}{space 4}-.2161083{col 78}{space 3} .1107045
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2}-.1017252{col 37}{space 2} .0343458{col 48}{space 1}   -2.96{col 57}{space 3}0.006{col 65}{space 4} -.171774{col 78}{space 3}-.0316764
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0026736{col 37}{space 2} .0015717{col 48}{space 1}   -1.70{col 57}{space 3}0.099{col 65}{space 4}-.0058791{col 78}{space 3}  .000532
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}14.88564
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.12
{txt}{col 55}Prob > F      = {res}  0.3712
{txt}Total (centered) SS     = {res} 7587.892197{txt}{col 55}Centered R2   = {res}  0.0165
{txt}Total (uncentered) SS   = {res} 7587.892197{txt}{col 55}Uncentered R2 = {res}  0.0165
{txt}Residual SS             = {res}  7462.47204{txt}{col 55}Root MSE      = {res}   4.225

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       perc_voixexd_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .0714355{col 37}{space 2} .1091911{col 48}{space 1}    0.65{col 57}{space 3}0.518{col 65}{space 4}-.1512613{col 78}{space 3} .2941323
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0220031{col 37}{space 2} .0539857{col 48}{space 1}    0.41{col 57}{space 3}0.686{col 65}{space 4}-.0881014{col 78}{space 3} .1321076
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0475635{col 37}{space 2} .1947911{col 48}{space 1}   -0.24{col 57}{space 3}0.809{col 65}{space 4}-.4448425{col 78}{space 3} .3497155
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2} .0676752{col 37}{space 2} .1077183{col 48}{space 1}    0.63{col 57}{space 3}0.534{col 65}{space 4}-.1520178{col 78}{space 3} .2873682
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2}-.0768628{col 37}{space 2} .0461912{col 48}{space 1}   -1.66{col 57}{space 3}0.106{col 65}{space 4}-.1710704{col 78}{space 3} .0173448
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0041384{col 37}{space 2}  .002407{col 48}{space 1}   -1.72{col 57}{space 3}0.096{col 65}{space 4}-.0090474{col 78}{space 3} .0007706
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}23.237011
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    3.31
{txt}{col 55}Prob > F      = {res}  0.0123
{txt}Total (centered) SS     = {res} 9083.430189{txt}{col 55}Centered R2   = {res}  0.0382
{txt}Total (uncentered) SS   = {res} 9083.430189{txt}{col 55}Uncentered R2 = {res}  0.0382
{txt}Residual SS             = {res}  8736.62486{txt}{col 55}Root MSE      = {res}   4.572

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       perc_voixexd_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1465079{col 37}{space 2} .1253054{col 48}{space 1}    1.17{col 57}{space 3}0.251{col 65}{space 4}-.1090541{col 78}{space 3} .4020699
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0802377{col 37}{space 2} .0622021{col 48}{space 1}    1.29{col 57}{space 3}0.207{col 65}{space 4}-.0466242{col 78}{space 3} .2070997
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2} -.121762{col 37}{space 2} .1513162{col 48}{space 1}   -0.80{col 57}{space 3}0.427{col 65}{space 4}-.4303735{col 78}{space 3} .1868494
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2} .0581269{col 37}{space 2} .1368711{col 48}{space 1}    0.42{col 57}{space 3}0.674{col 65}{space 4}-.2210236{col 78}{space 3} .3372774
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2}-.1571769{col 37}{space 2} .0594934{col 48}{space 1}   -2.64{col 57}{space 3}0.013{col 65}{space 4}-.2785144{col 78}{space 3}-.0358393
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0028749{col 37}{space 2} .0031279{col 48}{space 1}   -0.92{col 57}{space 3}0.365{col 65}{space 4}-.0092543{col 78}{space 3} .0035044
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}27.274936
{txt}
{com}. 
. // Reduced form Abstention
. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}. 
.         ivreghdfe perc_bna_ins perc_e_1908_1927 ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w dist_5767 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect pop_jew water) partial($sigma $w)
{txt}  3{com}.                 
.         estimates store P`year'T1_ABST1
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_bna_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{res}{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    8.34
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 11796.59426{txt}{col 55}Centered R2   = {res}  0.0650
{txt}Total (uncentered) SS   = {res} 11796.59426{txt}{col 55}Uncentered R2 = {res}  0.0650
{txt}Residual SS             = {res} 11030.07429{txt}{col 55}Root MSE      = {res}   5.125

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .2503937{col 30}{space 2} .1007543{col 41}{space 1}    2.49{col 50}{space 3}0.019{col 58}{space 4} .0449039{col 71}{space 3} .4558834
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1970825{col 30}{space 2} .0789996{col 41}{space 1}   -2.49{col 50}{space 3}0.018{col 58}{space 4}-.3582031{col 71}{space 3}-.0359618
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0674161{col 30}{space 2} .1800691{col 41}{space 1}   -0.37{col 50}{space 3}0.711{col 58}{space 4}-.4346694{col 71}{space 3} .2998371
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.6013011{col 30}{space 2} .1601537{col 41}{space 1}   -3.75{col 50}{space 3}0.001{col 58}{space 4}-.9279368{col 71}{space 3}-.2746654
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2}-.0111777{col 30}{space 2} .0496934{col 41}{space 1}   -0.22{col 50}{space 3}0.824{col 58}{space 4} -.112528{col 71}{space 3} .0901727
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}15.28727
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    8.19
{txt}{col 55}Prob > F      = {res}  0.0001
{txt}Total (centered) SS     = {res} 18676.55415{txt}{col 55}Centered R2   = {res}  0.0514
{txt}Total (uncentered) SS   = {res} 18676.55415{txt}{col 55}Uncentered R2 = {res}  0.0514
{txt}Residual SS             = {res} 17717.46347{txt}{col 55}Root MSE      = {res}   6.495

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .4601742{col 30}{space 2} .1349071{col 41}{space 1}    3.41{col 50}{space 3}0.002{col 58}{space 4} .1850294{col 71}{space 3}  .735319
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1717621{col 30}{space 2}  .106602{col 41}{space 1}   -1.61{col 50}{space 3}0.117{col 58}{space 4}-.3891784{col 71}{space 3} .0456542
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.2252481{col 30}{space 2} .2127752{col 41}{space 1}   -1.06{col 50}{space 3}0.298{col 58}{space 4} -.659206{col 71}{space 3} .2087099
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.7239719{col 30}{space 2} .1966849{col 41}{space 1}   -3.68{col 50}{space 3}0.001{col 58}{space 4}-1.125113{col 71}{space 3}-.3228304
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2}-.1429742{col 30}{space 2} .0560696{col 41}{space 1}   -2.55{col 50}{space 3}0.016{col 58}{space 4}-.2573289{col 71}{space 3}-.0286195
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}23.6278
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    1.36
{txt}{col 55}Prob > F      = {res}  0.2673
{txt}Total (centered) SS     = {res} 8937.800927{txt}{col 55}Centered R2   = {res}  0.0122
{txt}Total (uncentered) SS   = {res} 8937.800927{txt}{col 55}Uncentered R2 = {res}  0.0122
{txt}Residual SS             = {res} 8828.480466{txt}{col 55}Root MSE      = {res}   4.585

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1834485{col 30}{space 2} .1041134{col 41}{space 1}    1.76{col 50}{space 3}0.088{col 58}{space 4}-.0288922{col 71}{space 3} .3957893
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0544828{col 30}{space 2} .0909702{col 41}{space 1}   -0.60{col 50}{space 3}0.554{col 58}{space 4}-.2400177{col 71}{space 3} .1310521
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1524304{col 30}{space 2} .1602406{col 41}{space 1}   -0.95{col 50}{space 3}0.349{col 58}{space 4}-.4792433{col 71}{space 3} .1743824
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2245592{col 30}{space 2} .1202745{col 41}{space 1}   -1.87{col 50}{space 3}0.071{col 58}{space 4}-.4698606{col 71}{space 3} .0207423
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2}-.0459111{col 30}{space 2} .0479011{col 41}{space 1}   -0.96{col 50}{space 3}0.345{col 58}{space 4}-.1436062{col 71}{space 3} .0517839
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}17.065947
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    0.91
{txt}{col 55}Prob > F      = {res}  0.4845
{txt}Total (centered) SS     = {res} 6008.066893{txt}{col 55}Centered R2   = {res}  0.0068
{txt}Total (uncentered) SS   = {res} 6008.066893{txt}{col 55}Uncentered R2 = {res}  0.0068
{txt}Residual SS             = {res} 5967.121034{txt}{col 55}Root MSE      = {res}   3.774

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}-.0646444{col 30}{space 2} .0717647{col 41}{space 1}   -0.90{col 50}{space 3}0.375{col 58}{space 4}-.2110094{col 71}{space 3} .0817206
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0708618{col 30}{space 2} .0636157{col 41}{space 1}    1.11{col 50}{space 3}0.274{col 58}{space 4}-.0588832{col 71}{space 3} .2006068
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0645166{col 30}{space 2}  .140621{col 41}{space 1}    0.46{col 50}{space 3}0.650{col 58}{space 4}-.2222819{col 71}{space 3} .3513151
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0588686{col 30}{space 2}  .083461{col 41}{space 1}   -0.71{col 50}{space 3}0.486{col 58}{space 4}-.2290883{col 71}{space 3} .1113512
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2} .0198553{col 30}{space 2} .0471184{col 41}{space 1}    0.42{col 50}{space 3}0.676{col 58}{space 4}-.0762432{col 71}{space 3} .1159538
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}19.787649
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    2.87
{txt}{col 55}Prob > F      = {res}  0.0305
{txt}Total (centered) SS     = {res} 8951.441339{txt}{col 55}Centered R2   = {res}  0.0277
{txt}Total (uncentered) SS   = {res} 8951.441339{txt}{col 55}Uncentered R2 = {res}  0.0277
{txt}Residual SS             = {res}  8703.74457{txt}{col 55}Root MSE      = {res}   4.558

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}-.1224938{col 30}{space 2} .1044898{col 41}{space 1}   -1.17{col 50}{space 3}0.250{col 58}{space 4}-.3356021{col 71}{space 3} .0906145
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0383759{col 30}{space 2} .0973313{col 41}{space 1}    0.39{col 50}{space 3}0.696{col 58}{space 4}-.1601325{col 71}{space 3} .2368844
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1120168{col 30}{space 2} .1071552{col 41}{space 1}    1.05{col 50}{space 3}0.304{col 58}{space 4}-.1065276{col 71}{space 3} .3305613
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0668864{col 30}{space 2} .1097735{col 41}{space 1}    0.61{col 50}{space 3}0.547{col 58}{space 4}-.1569981{col 71}{space 3} .2907708
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2}-.0851554{col 30}{space 2} .0741553{col 41}{space 1}   -1.15{col 50}{space 3}0.260{col 58}{space 4}-.2363961{col 71}{space 3} .0660853
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}28.387391
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    1.09
{txt}{col 55}Prob > F      = {res}  0.3870
{txt}Total (centered) SS     = {res} 4170.341767{txt}{col 55}Centered R2   = {res}  0.0065
{txt}Total (uncentered) SS   = {res} 4170.341767{txt}{col 55}Uncentered R2 = {res}  0.0065
{txt}Residual SS             = {res} 4143.340231{txt}{col 55}Root MSE      = {res}   3.145

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .0664225{col 30}{space 2} .0664659{col 41}{space 1}    1.00{col 50}{space 3}0.325{col 58}{space 4}-.0691355{col 71}{space 3} .2019805
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0026193{col 30}{space 2} .0700791{col 41}{space 1}   -0.04{col 50}{space 3}0.970{col 58}{space 4}-.1455466{col 71}{space 3} .1403081
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0589647{col 30}{space 2} .0848405{col 41}{space 1}   -0.70{col 50}{space 3}0.492{col 58}{space 4} -.231998{col 71}{space 3} .1140686
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0661721{col 30}{space 2} .0820139{col 41}{space 1}   -0.81{col 50}{space 3}0.426{col 58}{space 4}-.2334405{col 71}{space 3} .1010963
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2}  .008021{col 30}{space 2}  .038477{col 41}{space 1}    0.21{col 50}{space 3}0.836{col 58}{space 4}-.0704533{col 71}{space 3} .0864953
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}16.72891
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    0.79
{txt}{col 55}Prob > F      = {res}  0.5636
{txt}Total (centered) SS     = {res} 5094.179372{txt}{col 55}Centered R2   = {res}  0.0060
{txt}Total (uncentered) SS   = {res} 5094.179372{txt}{col 55}Uncentered R2 = {res}  0.0060
{txt}Residual SS             = {res} 5063.719948{txt}{col 55}Root MSE      = {res}   3.476

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}  .063508{col 30}{space 2} .0788742{col 41}{space 1}    0.81{col 50}{space 3}0.427{col 58}{space 4} -.097357{col 71}{space 3}  .224373
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0079317{col 30}{space 2} .0882336{col 41}{space 1}   -0.09{col 50}{space 3}0.929{col 58}{space 4}-.1878852{col 71}{space 3} .1720218
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0977098{col 30}{space 2} .1080195{col 41}{space 1}   -0.90{col 50}{space 3}0.373{col 58}{space 4} -.318017{col 71}{space 3} .1225975
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0695526{col 30}{space 2} .1044979{col 41}{space 1}   -0.67{col 50}{space 3}0.511{col 58}{space 4}-.2826774{col 71}{space 3} .1435723
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2}-.0507438{col 30}{space 2} .0346205{col 41}{space 1}   -1.47{col 50}{space 3}0.153{col 58}{space 4}-.1213528{col 71}{space 3} .0198652
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}19.41339
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #8{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #14{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  5,    31) = {res}    1.84
{txt}{col 55}Prob > F      = {res}  0.1332
{txt}Total (centered) SS     = {res}  6125.33048{txt}{col 55}Centered R2   = {res}  0.0243
{txt}Total (uncentered) SS   = {res}  6125.33048{txt}{col 55}Uncentered R2 = {res}  0.0243
{txt}Residual SS             = {res} 5976.455266{txt}{col 55}Root MSE      = {res}   3.777

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1410242{col 30}{space 2} .0787625{col 41}{space 1}    1.79{col 50}{space 3}0.083{col 58}{space 4} -.019613{col 71}{space 3} .3016615
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} -.131281{col 30}{space 2} .0604499{col 41}{space 1}   -2.17{col 50}{space 3}0.038{col 58}{space 4}-.2545694{col 71}{space 3}-.0079925
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0493055{col 30}{space 2} .0879141{col 41}{space 1}   -0.56{col 50}{space 3}0.579{col 58}{space 4}-.2286075{col 71}{space 3} .1299965
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1815605{col 30}{space 2} .1357176{col 41}{space 1}   -1.34{col 50}{space 3}0.191{col 58}{space 4}-.4583584{col 71}{space 3} .0952374
{txt}{space 7}dist_5767 {c |}{col 18}{res}{space 2}-.0901031{col 30}{space 2} .0456041{col 41}{space 1}   -1.98{col 50}{space 3}0.057{col 58}{space 4}-.1831133{col 71}{space 3} .0029071
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}20.639399
{txt}
{com}. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}. 
.         ivreghdfe perc_bna_ins perc_e_1908_1927 ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w dist_5767 c.dist_5767#c.dist_5767 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect pop_jew water) partial($sigma $w)
{txt}  3{com}.                 
.         estimates store P`year'T1_ABST2
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_bna_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{res}{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    7.25
{txt}{col 55}Prob > F      = {res}  0.0001
{txt}Total (centered) SS     = {res} 11796.59426{txt}{col 55}Centered R2   = {res}  0.0662
{txt}Total (uncentered) SS   = {res} 11796.59426{txt}{col 55}Uncentered R2 = {res}  0.0662
{txt}Residual SS             = {res} 11015.40586{txt}{col 55}Root MSE      = {res}   5.127

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           perc_bna_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .2472817{col 37}{space 2} .0988111{col 48}{space 1}    2.50{col 57}{space 3}0.018{col 65}{space 4} .0457553{col 78}{space 3} .4488082
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2}-.1974904{col 37}{space 2} .0796542{col 48}{space 1}   -2.48{col 57}{space 3}0.019{col 65}{space 4}-.3599461{col 78}{space 3}-.0350346
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0594213{col 37}{space 2} .1804464{col 48}{space 1}   -0.33{col 57}{space 3}0.744{col 65}{space 4}-.4274442{col 78}{space 3} .3086015
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.6099175{col 37}{space 2} .1639148{col 48}{space 1}   -3.72{col 57}{space 3}0.001{col 65}{space 4}-.9442239{col 78}{space 3} -.275611
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2}-.0111286{col 37}{space 2} .0494044{col 48}{space 1}   -0.23{col 57}{space 3}0.823{col 65}{space 4}-.1118895{col 78}{space 3} .0896323
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2} .0024044{col 37}{space 2} .0031259{col 48}{space 1}    0.77{col 57}{space 3}0.448{col 65}{space 4}-.0039709{col 78}{space 3} .0087797
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}15.28727
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    7.24
{txt}{col 55}Prob > F      = {res}  0.0001
{txt}Total (centered) SS     = {res} 18676.55415{txt}{col 55}Centered R2   = {res}  0.0530
{txt}Total (uncentered) SS   = {res} 18676.55415{txt}{col 55}Uncentered R2 = {res}  0.0530
{txt}Residual SS             = {res} 17686.09328{txt}{col 55}Root MSE      = {res}   6.497

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           perc_bna_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .4644978{col 37}{space 2} .1345599{col 48}{space 1}    3.45{col 57}{space 3}0.002{col 65}{space 4} .1900611{col 78}{space 3} .7389345
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2}-.1715561{col 37}{space 2} .1068112{col 48}{space 1}   -1.61{col 57}{space 3}0.118{col 65}{space 4}-.3893989{col 78}{space 3} .0462867
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2} -.237288{col 37}{space 2} .2066317{col 48}{space 1}   -1.15{col 57}{space 3}0.260{col 65}{space 4}-.6587161{col 78}{space 3} .1841401
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.7108936{col 37}{space 2} .1936385{col 48}{space 1}   -3.67{col 57}{space 3}0.001{col 65}{space 4}-1.105822{col 78}{space 3}-.3159653
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2}-.1427776{col 37}{space 2} .0548202{col 48}{space 1}   -2.60{col 57}{space 3}0.014{col 65}{space 4}-.2545841{col 78}{space 3} -.030971
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0035265{col 37}{space 2} .0036569{col 48}{space 1}   -0.96{col 57}{space 3}0.342{col 65}{space 4}-.0109848{col 78}{space 3} .0039318
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}23.6278
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    2.22
{txt}{col 55}Prob > F      = {res}  0.0678
{txt}Total (centered) SS     = {res} 8937.800927{txt}{col 55}Centered R2   = {res}  0.0197
{txt}Total (uncentered) SS   = {res} 8937.800927{txt}{col 55}Uncentered R2 = {res}  0.0197
{txt}Residual SS             = {res} 8761.428627{txt}{col 55}Root MSE      = {res}   4.573

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           perc_bna_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1883541{col 37}{space 2} .1066699{col 48}{space 1}    1.77{col 57}{space 3}0.087{col 65}{space 4}-.0292005{col 78}{space 3} .4059087
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2}-.0525707{col 37}{space 2} .0898143{col 48}{space 1}   -0.59{col 57}{space 3}0.563{col 65}{space 4}-.2357481{col 78}{space 3} .1306067
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2} -.168812{col 37}{space 2} .1586212{col 48}{space 1}   -1.06{col 57}{space 3}0.295{col 65}{space 4} -.492322{col 78}{space 3} .1546981
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.2034997{col 37}{space 2} .1142249{col 48}{space 1}   -1.78{col 57}{space 3}0.085{col 65}{space 4}-.4364629{col 78}{space 3} .0294635
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2}-.0451931{col 37}{space 2} .0479404{col 48}{space 1}   -0.94{col 57}{space 3}0.353{col 65}{space 4}-.1429683{col 78}{space 3} .0525821
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2} -.005201{col 37}{space 2} .0020258{col 48}{space 1}   -2.57{col 57}{space 3}0.015{col 65}{space 4}-.0093327{col 78}{space 3}-.0010694
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}17.065947
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.01
{txt}{col 55}Prob > F      = {res}  0.4369
{txt}Total (centered) SS     = {res} 6008.066893{txt}{col 55}Centered R2   = {res}  0.0109
{txt}Total (uncentered) SS   = {res} 6008.066893{txt}{col 55}Uncentered R2 = {res}  0.0109
{txt}Residual SS             = {res} 5942.613301{txt}{col 55}Root MSE      = {res}   3.771

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           perc_bna_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2}-.0606388{col 37}{space 2} .0706042{col 48}{space 1}   -0.86{col 57}{space 3}0.397{col 65}{space 4} -.204637{col 78}{space 3} .0833593
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0699207{col 37}{space 2} .0636468{col 48}{space 1}    1.10{col 57}{space 3}0.280{col 65}{space 4}-.0598878{col 78}{space 3} .1997292
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2} .0535516{col 37}{space 2} .1390674{col 48}{space 1}    0.39{col 57}{space 3}0.703{col 65}{space 4}-.2300783{col 78}{space 3} .3371814
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0470772{col 37}{space 2} .0830527{col 48}{space 1}   -0.57{col 57}{space 3}0.575{col 65}{space 4}-.2164642{col 78}{space 3} .1223098
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .0210171{col 37}{space 2} .0460654{col 48}{space 1}    0.46{col 57}{space 3}0.651{col 65}{space 4} -.072934{col 78}{space 3} .1149682
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0031548{col 37}{space 2}  .002252{col 48}{space 1}   -1.40{col 57}{space 3}0.171{col 65}{space 4}-.0077476{col 78}{space 3} .0014381
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}19.787649
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    2.38
{txt}{col 55}Prob > F      = {res}  0.0525
{txt}Total (centered) SS     = {res} 8951.441339{txt}{col 55}Centered R2   = {res}  0.0290
{txt}Total (uncentered) SS   = {res} 8951.441339{txt}{col 55}Uncentered R2 = {res}  0.0290
{txt}Residual SS             = {res} 8691.450355{txt}{col 55}Root MSE      = {res}    4.56

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           perc_bna_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2}-.1195176{col 37}{space 2} .1032404{col 48}{space 1}   -1.16{col 57}{space 3}0.256{col 65}{space 4}-.3300778{col 78}{space 3} .0910426
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2} .0389719{col 37}{space 2} .0972284{col 48}{space 1}    0.40{col 57}{space 3}0.691{col 65}{space 4}-.1593267{col 78}{space 3} .2372704
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2} .1047931{col 37}{space 2} .1082725{col 48}{space 1}    0.97{col 57}{space 3}0.341{col 65}{space 4}-.1160302{col 78}{space 3} .3256164
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}  .074964{col 37}{space 2}  .111353{col 48}{space 1}    0.67{col 57}{space 3}0.506{col 65}{space 4}-.1521419{col 78}{space 3}   .30207
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2}-.0846058{col 37}{space 2} .0735485{col 48}{space 1}   -1.15{col 57}{space 3}0.259{col 65}{space 4} -.234609{col 78}{space 3} .0653975
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0022276{col 37}{space 2} .0027232{col 48}{space 1}   -0.82{col 57}{space 3}0.420{col 65}{space 4}-.0077815{col 78}{space 3} .0033263
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}28.387391
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.63
{txt}{col 55}Prob > F      = {res}  0.1714
{txt}Total (centered) SS     = {res} 4170.341767{txt}{col 55}Centered R2   = {res}  0.0085
{txt}Total (uncentered) SS   = {res} 4170.341767{txt}{col 55}Uncentered R2 = {res}  0.0085
{txt}Residual SS             = {res} 4135.035337{txt}{col 55}Root MSE      = {res}   3.145

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           perc_bna_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .0692587{col 37}{space 2} .0659076{col 48}{space 1}    1.05{col 57}{space 3}0.301{col 65}{space 4}-.0651607{col 78}{space 3} .2036781
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2}-.0025033{col 37}{space 2} .0696403{col 48}{space 1}   -0.04{col 57}{space 3}0.972{col 65}{space 4}-.1445356{col 78}{space 3}  .139529
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.0657526{col 37}{space 2} .0855188{col 48}{space 1}   -0.77{col 57}{space 3}0.448{col 65}{space 4}-.2401695{col 78}{space 3} .1086642
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0587891{col 37}{space 2} .0844318{col 48}{space 1}   -0.70{col 57}{space 3}0.491{col 65}{space 4}-.2309889{col 78}{space 3} .1134107
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2} .0080441{col 37}{space 2} .0376853{col 48}{space 1}    0.21{col 57}{space 3}0.832{col 65}{space 4}-.0688156{col 78}{space 3} .0849038
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0018296{col 37}{space 2} .0018001{col 48}{space 1}   -1.02{col 57}{space 3}0.317{col 65}{space 4}-.0055008{col 78}{space 3} .0018417
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}16.72891
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.37
{txt}{col 55}Prob > F      = {res}  0.2583
{txt}Total (centered) SS     = {res} 5094.179372{txt}{col 55}Centered R2   = {res}  0.0106
{txt}Total (uncentered) SS   = {res} 5094.179372{txt}{col 55}Uncentered R2 = {res}  0.0106
{txt}Residual SS             = {res} 5040.077169{txt}{col 55}Root MSE      = {res}   3.472

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           perc_bna_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .0707242{col 37}{space 2}  .081838{col 48}{space 1}    0.86{col 57}{space 3}0.394{col 65}{space 4}-.0961855{col 78}{space 3} .2376339
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2}-.0083127{col 37}{space 2} .0879982{col 48}{space 1}   -0.09{col 57}{space 3}0.925{col 65}{space 4}-.1877863{col 78}{space 3} .1711608
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2}-.1072139{col 37}{space 2}  .107667{col 48}{space 1}   -1.00{col 57}{space 3}0.327{col 65}{space 4}-.3268021{col 78}{space 3} .1123743
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.0618366{col 37}{space 2} .1047312{col 48}{space 1}   -0.59{col 57}{space 3}0.559{col 65}{space 4}-.2754373{col 78}{space 3}  .151764
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2}-.0512756{col 37}{space 2} .0339525{col 48}{space 1}   -1.51{col 57}{space 3}0.141{col 65}{space 4}-.1205222{col 78}{space 3} .0179711
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2} -.003138{col 37}{space 2} .0015093{col 48}{space 1}   -2.08{col 57}{space 3}0.046{col 65}{space 4}-.0062162{col 78}{space 3}-.0000597
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

{txt}added scalar:
             e(mean_y) =  {res}19.41339
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #9{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #15{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    2.12
{txt}{col 55}Prob > F      = {res}  0.0796
{txt}Total (centered) SS     = {res}  6125.33048{txt}{col 55}Centered R2   = {res}  0.0246
{txt}Total (uncentered) SS   = {res}  6125.33048{txt}{col 55}Uncentered R2 = {res}  0.0246
{txt}Residual SS             = {res} 5974.936501{txt}{col 55}Root MSE      = {res}   3.781

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           perc_bna_ins{col 25}{c |} Coefficient{col 37}  std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}perc_e_1908_1927 {c |}{col 25}{res}{space 2} .1427407{col 37}{space 2} .0777698{col 48}{space 1}    1.84{col 57}{space 3}0.076{col 65}{space 4} -.015872{col 78}{space 3} .3013533
{txt}{space 7}perc_b_1903_1912 {c |}{col 25}{res}{space 2}-.1313987{col 37}{space 2} .0602119{col 48}{space 1}   -2.18{col 57}{space 3}0.037{col 65}{space 4}-.2542017{col 78}{space 3}-.0085958
{txt}{space 7}perc_b_1913_1922 {c |}{col 25}{res}{space 2} -.051024{col 37}{space 2} .0870278{col 48}{space 1}   -0.59{col 57}{space 3}0.562{col 65}{space 4}-.2285183{col 78}{space 3} .1264703
{txt}{space 7}perc_b_1923_1932 {c |}{col 25}{res}{space 2}-.1793808{col 37}{space 2} .1349049{col 48}{space 1}   -1.33{col 57}{space 3}0.193{col 65}{space 4}-.4545211{col 78}{space 3} .0957595
{txt}{space 14}dist_5767 {c |}{col 25}{res}{space 2}-.0903048{col 37}{space 2} .0454003{col 48}{space 1}   -1.99{col 57}{space 3}0.056{col 65}{space 4}-.1828993{col 78}{space 3} .0022898
{txt}{space 23} {c |}
c.dist_5767#c.dist_5767 {c |}{col 25}{res}{space 2}-.0007964{col 37}{space 2} .0026251{col 48}{space 1}   -0.30{col 57}{space 3}0.764{col 65}{space 4}-.0061503{col 78}{space 3} .0045575
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 dist_5767 c.dist_5767#c.dist_5767
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}.

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

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

{com}. 
. ******************************
. ***** 2. TABLE FOR PAPER *****
. ******************************
. 
. // Labels
. 
. la var perc_e_1908_1927         "\\ Eligible births (\%)"
{txt}
{com}. 
. // First-Stage, linear
. 
. estout P1965T1_FS1 P1969T1_FS1 P1974T1_FS1 P1995T1_FS1 P2002T1_FS1 P2007T1_FS1 P2012T1_FS1 P2017T1_FS1 ///
>         using "$results\\$program.tex", replace style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(F_fs, lab("First-stage $ F $-statistic") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_e_1908_1927) ///
>         order(perc_e_1908_1927) ///
>         title(Abstention and the radical right-wing vote: Polynomials in distance) ///
>         prehead( ///
>         "\begin{c -(}table{c )-}[t!]" ///
>         "\begin{c -(}center{c )-}" ///
>         "\begin{c -(}threeparttable{c )-}" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\caption{c -(}@title\label{c -(}$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 A1: First-Stage. Dep. Variable: Conscription proxy (\%){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("Distance polynomial & 1st & 1st & 1st & 1st & 1st & 1st & 1st & 1st \\")
{res}
\begin{c -(}table{c )-}[t!]
\begin{c -(}center{c )-}
\begin{c -(}threeparttable{c )-}
\begin{c -(}scriptsize{c )-}
\caption{c -(}Abstention and the radical right-wing vote: Polynomials in distance\label{c -(}EEREV-D-21-00004_TableC8{c )-}{c )-}
\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}8{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}
\hline
\hline
&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\
       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\
\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A1: First-Stage. Dep. Variable: Conscription proxy (\%){c )-}\\
\hline
\\ Eligible births (\%)&       0.134*  &       0.140*  &       0.147** &       0.135** &       0.122*  &       0.145** &       0.145** &       0.139*  \\
                    &     (0.071)   &     (0.072)   &     (0.068)   &     (0.064)   &     (0.062)   &     (0.061)   &     (0.070)   &     (0.073)   \\

First-stage $ F $-statistic&        3.61   &        3.77   &        4.66   &        4.47   &        3.88   &        5.67   &        4.32   &        3.67   \\
Distance polynomial & 1st & 1st & 1st & 1st & 1st & 1st & 1st & 1st \\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC8.tex"'})

{com}. 
. // First-Stage, quadratic
. 
. estout P1965T1_FS2 P1969T1_FS2 P1974T1_FS2 P1995T1_FS2 P2002T1_FS2 P2007T1_FS2 P2012T1_FS2 P2017T1_FS2 ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(F_fs, lab("First-stage $ F $-statistic") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_e_1908_1927) ///
>         order(perc_e_1908_1927) ///
>         prehead("\\" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A2: First-Stage. Dep. Variable: Conscription proxy (\%){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("Distance polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\")
{res}
\\
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A2: First-Stage. Dep. Variable: Conscription proxy (\%){c )-}\\
\hline
\\ Eligible births (\%)&       0.137*  &       0.143*  &       0.148** &       0.138** &       0.123*  &       0.148** &       0.148** &       0.142*  \\
                    &     (0.070)   &     (0.071)   &     (0.068)   &     (0.065)   &     (0.062)   &     (0.061)   &     (0.069)   &     (0.071)   \\

First-stage $ F $-statistic&        3.87   &        4.03   &        4.74   &        4.57   &        3.93   &        5.79   &        4.67   &        3.99   \\
Distance polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC8.tex"'})

{com}. 
. // Radical-Right, linear
. 
. estout P1965T1_VOTE1 P1969T1_VOTE P1974T1_VOTE1 P1995T1_VOTE1 P2002T1_VOTE1 P2007T1_VOTE1 P2012T1_VOTE1 P2017T1_VOTE1 ///
>         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) ///
>         order(perc_e_1908_1927) ///
>         prehead("\\" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B1: Reduced-Form. Dep. Variable: Radical right-wing (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("Distance polynomial & 1st &   & 1st & 1st & 1st & 1st & 1st & 1st") ///
>         postfoot("\\")
{res}
\\
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B1: Reduced-Form. Dep. Variable: Radical right-wing (\% of registered){c )-}\\
\hline
\\ Eligible births (\%)&     --0.026   &               &       0.003   &       0.264*  &       0.103   &       0.064   &       0.062   &       0.140   \\
                    &     (0.035)   &               &     (0.006)   &     (0.136)   &     (0.103)   &     (0.064)   &     (0.111)   &     (0.124)   \\
Distance polynomial & 1st &   & 1st & 1st & 1st & 1st & 1st & 1st
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC8.tex"'})

{com}. 
. // Radical-Right, quadratic
. 
. estout P1965T1_VOTE2 P1969T1_VOTE P1974T1_VOTE2 P1995T1_VOTE2 P2002T1_VOTE2 P2007T1_VOTE2 P2012T1_VOTE2 P2017T1_VOTE2 ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_e_1908_1927) ///
>         order(perc_e_1908_1927) ///
>         prehead("\\" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B2: Reduced-Form. Dep. Variable: Radical right-wing (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("Distance polynomial & 2nd &   & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd") ///
>         postfoot("\\")
{res}
\\
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B2: Reduced-Form. Dep. Variable: Radical right-wing (\% of registered){c )-}\\
\hline
\\ Eligible births (\%)&     --0.025   &               &       0.002   &       0.273** &       0.107   &       0.068   &       0.071   &       0.147   \\
                    &     (0.035)   &               &     (0.005)   &     (0.132)   &     (0.102)   &     (0.065)   &     (0.109)   &     (0.125)   \\
Distance polynomial & 2nd &   & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC8.tex"'})

{com}. 
. // Abstention, linear
. 
. estout P1965T1_ABST1 P1969T1_ABST1 P1974T1_ABST1 P1995T1_ABST1 P2002T1_ABST1 P2007T1_ABST1 P2012T1_ABST1 P2017T1_ABST1 ///
>         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) ///
>         order(perc_e_1908_1927) ///
>         prehead("\\" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C1: Reduced-Form. Dep. Variable: Abstention (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("Distance polynomial & 1st & 1st & 1st & 1st & 1st & 1st & 1st & 1st") ///
>         postfoot("\\")
{res}
\\
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C1: Reduced-Form. Dep. Variable: Abstention (\% of registered){c )-}\\
\hline
\\ Eligible births (\%)&       0.250** &       0.460***&       0.183*  &     --0.065   &     --0.122   &       0.066   &       0.064   &       0.141*  \\
                    &     (0.101)   &     (0.135)   &     (0.104)   &     (0.072)   &     (0.104)   &     (0.066)   &     (0.079)   &     (0.079)   \\
Distance polynomial & 1st & 1st & 1st & 1st & 1st & 1st & 1st & 1st
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC8.tex"'})

{com}. 
. // Abstention, quadratic
. 
. estout P1965T1_ABST2 P1969T1_ABST2 P1974T1_ABST2 P1995T1_ABST2 P2002T1_ABST2 P2007T1_ABST2 P2012T1_ABST2 P2017T1_ABST2 ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_e_1908_1927) ///
>         order(perc_e_1908_1927) ///
>         prehead("\\" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C2: Reduced-Form. Dep. Variable: Abstention (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("Distance polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd") ///
>         postfoot("\\")
{res}
\\
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C2: Reduced-Form. Dep. Variable: Abstention (\% of registered){c )-}\\
\hline
\\ Eligible births (\%)&       0.247** &       0.464***&       0.188*  &     --0.061   &     --0.120   &       0.069   &       0.071   &       0.143*  \\
                    &     (0.099)   &     (0.135)   &     (0.107)   &     (0.071)   &     (0.103)   &     (0.066)   &     (0.082)   &     (0.078)   \\
Distance polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC8.tex"'})

{com}. 
. // Closure
. 
. estout P1965T1_ABST2 P1969T1_ABST2 P1974T1_ABST2 P1995T1_ABST2 P2002T1_ABST2 P2007T1_ABST2 P2012T1_ABST2 P2017T1_ABST2 ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(N N_clust, lab("Observations" "Clusters") fmt(0 0)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         drop(*) ///     
>         indicate( ///   
>         "Border segment FE = 0.borderfe25" ///
>         "Historical dialect FE = 0.dialect_lux" ///
>         "Full set of controls = perc_b_1903_1912" ///
>         , labels(Yes )) ///
>         prehead("\\") ///
>         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 )-}:" /// 
>         "Reduced-form estimates of the effect of conscription into the Wehrmacht on support for radical right-wing candidates and on abstention. " ///
>         "The unit of observation is a municipality. " ///
>         "Standard errors clustered at the canton level in parentheses. " ///
>         "Panel A: First-stage estimates; " ///
>         "Panels B and C: Reduced-form estimates with radical right-wing vote and abstention as the outcome, respectively. " ///
>         "Each column presents the estimation for a different election. " ///
>         "Panels A1, B1, and C1 include a linear polynomial in distance to the Alsace-Moselle border; Panels A2, B2, and C2 quadratic. " ///
>         "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}
\\

Border segment FE   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Historical dialect FE &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Full set of controls &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
\hline
Observations        &         462   &         462   &         462   &         462   &         462   &         462   &         462   &         462   \\
Clusters            &          32   &          32   &          32   &          32   &          32   &          32   &          32   &          32   \\
\hline
\hline
\end{c -(}tabular*{c )-}
\end{c -(}scriptsize{c )-}
\begin{c -(}tablenotes{c )-}[normal,flushleft]
\begin{c -(}scriptsize{c )-}
\item \emph{c -(}Notes{c )-}:
Reduced-form estimates of the effect of conscription into the Wehrmacht on support for radical right-wing candidates and on abstention. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panel A: First-stage estimates; 
Panels B and C: Reduced-form estimates with radical right-wing vote and abstention as the outcome, respectively. 
Each column presents the estimation for a different election. 
Panels A1, B1, and C1 include a linear polynomial in distance to the Alsace-Moselle border; Panels A2, B2, and C2 quadratic. 
First-stage F-statistic is the Kleibergen-Paap rk Wald F-statistic of the first-stage estimation. 
* significant at 10\%; ** at 5\%; *** at 1\%. 
\end{c -(}scriptsize{c )-}
\end{c -(}tablenotes{c )-}
\end{c -(}threeparttable{c )-}
\end{c -(}center{c )-}
\end{c -(}table{c )-}
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC8.tex"'})

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