{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE C3 ****
. 
. 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 Cantonal 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}. 
. // Get weights
. 
. keep if sample==1
{txt}(8,936 observations deleted)

{com}. 
. ebalance alsace perc_prot_church if annee==1965 & sample==1, targets(3) generate(w) keep(w) replace
{res}

Data Setup
{txt}Treatment variable:   {res}alsace
{txt}Covariate adjustment:{res} perc_prot_church {txt}(1st order).{res} perc_prot_church {txt}(2nd order).{res}{res} perc_prot_church {txt}(3rd order).


{res}Optimizing...
{txt}Iteration 1: Max Difference = {res}960.503367{txt}
{txt}Iteration 2: Max Difference = {res}353.927945{txt}
{txt}Iteration 3: Max Difference = {res}130.735741{txt}
{txt}Iteration 4: Max Difference = {res}48.5117115{txt}
{txt}Iteration 5: Max Difference = {res}18.0035641{txt}
{txt}Iteration 6: Max Difference = {res}6.39527886{txt}
{txt}Iteration 7: Max Difference = {res}1.93834947{txt}
{txt}Iteration 8: Max Difference = {res}.402929323{txt}
{txt}Iteration 9: Max Difference = {res}.031378428{txt}
{txt}Iteration 10: Max Difference = {res}.000235818{txt}
{txt}maximum difference smaller than the tolerance level; {res}convergence achieved


Treated units: {txt}226{col 24}{res}total of weights: {txt}226
{res}Control units: {txt}236{col 24}{res}total of weights: {txt}226


{res}Before: {txt}without weighting
{res}
{txt}{space 0}{space 13}{c |}{res}{txt}{space 1}{rcenter 31:Treat}{space 1}{c |}{space 1}{rcenter 31:Control}{space 1}
{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:mean}{space 1}{space 1}{ralign 9:variance}{space 1}{space 1}{ralign 9:skewness}{space 1}{c |}{space 1}{ralign 9:mean}{space 1}{space 1}{ralign 9:variance}{space 1}{space 1}{ralign 9:skewness}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{c   +}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:perc_prot_~h}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    37.25}}}{space 1}{space 1}{ralign 9:{res:{sf:     1306}}}{space 1}{space 1}{ralign 9:{res:{sf:    .4854}}}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    5.761}}}{space 1}{space 1}{ralign 9:{res:{sf:    336.5}}}{space 1}{space 1}{ralign 9:{res:{sf:    3.672}}}{space 1}


{res}After:  {txt}w as the weighting variable
{res}
{txt}{space 0}{space 13}{c |}{res}{txt}{space 1}{rcenter 31:Treat}{space 1}{c |}{space 1}{rcenter 31:Control}{space 1}
{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:mean}{space 1}{space 1}{ralign 9:variance}{space 1}{space 1}{ralign 9:skewness}{space 1}{c |}{space 1}{ralign 9:mean}{space 1}{space 1}{ralign 9:variance}{space 1}{space 1}{ralign 9:skewness}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{c   +}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:perc_prot_~h}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    37.25}}}{space 1}{space 1}{ralign 9:{res:{sf:     1306}}}{space 1}{space 1}{ralign 9:{res:{sf:    .4854}}}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    37.25}}}{space 1}{space 1}{ralign 9:{res:{sf:     1306}}}{space 1}{space 1}{ralign 9:{res:{sf:    .4855}}}{space 1}
{res}{txt}
{com}. bysort com: egen w_sigma=max(w)
{txt}
{com}. cap drop w
{txt}
{com}. 
. // First stage
. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}. 
.         ivreghdfe perc_i_full perc_e_1908_1927 ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1 [pweight=w_sigma], cluster(ct_1936_enc) ///
>                 a(borderfe $dialect pop_jew water) partial($sigma $w)
{txt}  3{com}.                 
.         estimates store P`year'T1_FS
{txt}  4{com}.         sum perc_i_full  if annee==`year' & sample==1 //
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         
. {c )-}
{res}{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}   13.75
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5650.855226{txt}{col 55}Centered R2   = {res}  0.0829
{txt}Total (uncentered) SS   = {res} 5650.855226{txt}{col 55}Uncentered R2 = {res}  0.0829
{txt}Residual SS             = {res} 5182.674382{txt}{col 55}Root MSE      = {res}    3.53

{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} .2050752{col 30}{space 2}     .053{col 41}{space 1}    3.87{col 50}{space 3}0.001{col 58}{space 4} .0969809{col 71}{space 3} .3131694
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} -.068569{col 30}{space 2} .0597332{col 41}{space 1}   -1.15{col 50}{space 3}0.260{col 58}{space 4}-.1903955{col 71}{space 3} .0532576
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0067473{col 30}{space 2} .1641464{col 41}{space 1}    0.04{col 50}{space 3}0.967{col 58}{space 4}-.3280315{col 71}{space 3} .3415261
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0980737{col 30}{space 2} .1385722{col 41}{space 1}    0.71{col 50}{space 3}0.484{col 58}{space 4}-.1845462{col 71}{space 3} .3806935
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-932.2521{col 30}{space 2} 1368.192{col 41}{space 1}   -0.68{col 50}{space 3}0.501{col 58}{space 4}-3722.699{col 71}{space 3} 1858.195
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 1098.091{col 30}{space 2} 509.7845{col 41}{space 1}    2.15{col 50}{space 3}0.039{col 58}{space 4} 58.37851{col 71}{space 3} 2137.803
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 11.13347{col 30}{space 2} 13.73224{col 41}{space 1}    0.81{col 50}{space 3}0.424{col 58}{space 4}-16.87361{col 71}{space 3} 39.14056
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-6.209796{col 30}{space 2} 5.048946{col 41}{space 1}   -1.23{col 50}{space 3}0.228{col 58}{space 4}-16.50719{col 71}{space 3} 4.087597
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-20.47165{col 30}{space 2} 10.33778{col 41}{space 1}   -1.98{col 50}{space 3}0.057{col 58}{space 4}-41.55569{col 71}{space 3} .6123916
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}   13.69
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5663.322493{txt}{col 55}Centered R2   = {res}  0.0937
{txt}Total (uncentered) SS   = {res} 5663.322493{txt}{col 55}Uncentered R2 = {res}  0.0937
{txt}Residual SS             = {res} 5132.646035{txt}{col 55}Root MSE      = {res}   3.513

{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} .2335845{col 30}{space 2} .0523099{col 41}{space 1}    4.47{col 50}{space 3}0.000{col 58}{space 4} .1268978{col 71}{space 3} .3402713
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0848591{col 30}{space 2} .0591688{col 41}{space 1}   -1.43{col 50}{space 3}0.162{col 58}{space 4}-.2055348{col 71}{space 3} .0358165
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0146735{col 30}{space 2} .1620124{col 41}{space 1}   -0.09{col 50}{space 3}0.928{col 58}{space 4}-.3450999{col 71}{space 3} .3157529
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0817191{col 30}{space 2} .1422866{col 41}{space 1}    0.57{col 50}{space 3}0.570{col 58}{space 4}-.2084764{col 71}{space 3} .3719146
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-885.2571{col 30}{space 2}  1462.45{col 41}{space 1}   -0.61{col 50}{space 3}0.549{col 58}{space 4}-3867.944{col 71}{space 3}  2097.43
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}  1153.71{col 30}{space 2} 537.6488{col 41}{space 1}    2.15{col 50}{space 3}0.040{col 58}{space 4} 57.16802{col 71}{space 3} 2250.252
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 10.72981{col 30}{space 2} 14.76908{col 41}{space 1}    0.73{col 50}{space 3}0.473{col 58}{space 4}-19.39193{col 71}{space 3} 40.85155
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} -6.18421{col 30}{space 2}   5.2255{col 41}{space 1}   -1.18{col 50}{space 3}0.246{col 58}{space 4}-16.84169{col 71}{space 3} 4.473266
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-21.60447{col 30}{space 2} 10.83669{col 41}{space 1}   -1.99{col 50}{space 3}0.055{col 58}{space 4}-43.70604{col 71}{space 3} .4971115
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}   16.17
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5618.828381{txt}{col 55}Centered R2   = {res}  0.0922
{txt}Total (uncentered) SS   = {res} 5618.828381{txt}{col 55}Uncentered R2 = {res}  0.0922
{txt}Residual SS             = {res} 5100.933996{txt}{col 55}Root MSE      = {res}   3.502

{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} .2176283{col 30}{space 2} .0452465{col 41}{space 1}    4.81{col 50}{space 3}0.000{col 58}{space 4} .1253473{col 71}{space 3} .3099092
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0925746{col 30}{space 2}  .061605{col 41}{space 1}   -1.50{col 50}{space 3}0.143{col 58}{space 4}-.2182188{col 71}{space 3} .0330696
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0420594{col 30}{space 2} .1633619{col 41}{space 1}    0.26{col 50}{space 3}0.799{col 58}{space 4}-.2911194{col 71}{space 3} .3752382
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0677658{col 30}{space 2} .1416691{col 41}{space 1}    0.48{col 50}{space 3}0.636{col 58}{space 4}-.2211703{col 71}{space 3} .3567019
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-576.3485{col 30}{space 2}  1217.37{col 41}{space 1}   -0.47{col 50}{space 3}0.639{col 58}{space 4}-3059.191{col 71}{space 3} 1906.494
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 1303.729{col 30}{space 2} 609.0375{col 41}{space 1}    2.14{col 50}{space 3}0.040{col 58}{space 4} 61.58866{col 71}{space 3} 2545.869
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 7.864765{col 30}{space 2} 12.45593{col 41}{space 1}    0.63{col 50}{space 3}0.532{col 58}{space 4}-17.53928{col 71}{space 3}  33.2688
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-3.731019{col 30}{space 2} 4.860373{col 41}{space 1}   -0.77{col 50}{space 3}0.449{col 58}{space 4}-13.64382{col 71}{space 3} 6.181778
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-25.43308{col 30}{space 2} 12.39412{col 41}{space 1}   -2.05{col 50}{space 3}0.049{col 58}{space 4}-50.71106{col 71}{space 3}-.1550973
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}   14.63
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5552.772209{txt}{col 55}Centered R2   = {res}  0.0769
{txt}Total (uncentered) SS   = {res} 5552.772209{txt}{col 55}Uncentered R2 = {res}  0.0769
{txt}Residual SS             = {res} 5125.691325{txt}{col 55}Root MSE      = {res}   3.514

{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} .2164178{col 30}{space 2} .0449984{col 41}{space 1}    4.81{col 50}{space 3}0.000{col 58}{space 4} .1246429{col 71}{space 3} .3081928
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0977685{col 30}{space 2} .0733145{col 41}{space 1}   -1.33{col 50}{space 3}0.192{col 58}{space 4}-.2472943{col 71}{space 3} .0517574
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0123979{col 30}{space 2} .1563623{col 41}{space 1}   -0.08{col 50}{space 3}0.937{col 58}{space 4} -.331301{col 71}{space 3} .3065052
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0582712{col 30}{space 2} .1465507{col 41}{space 1}    0.40{col 50}{space 3}0.694{col 58}{space 4}-.2406209{col 71}{space 3} .3571632
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-22.97551{col 30}{space 2} 1387.125{col 41}{space 1}   -0.02{col 50}{space 3}0.987{col 58}{space 4}-2852.036{col 71}{space 3} 2806.085
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 1415.924{col 30}{space 2} 547.3846{col 41}{space 1}    2.59{col 50}{space 3}0.015{col 58}{space 4} 299.5258{col 71}{space 3} 2532.322
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 2.337392{col 30}{space 2} 14.01913{col 41}{space 1}    0.17{col 50}{space 3}0.869{col 58}{space 4}-26.25481{col 71}{space 3} 30.92959
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-4.366663{col 30}{space 2} 4.983721{col 41}{space 1}   -0.88{col 50}{space 3}0.388{col 58}{space 4}-14.53103{col 71}{space 3} 5.797702
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-27.58554{col 30}{space 2} 11.06766{col 41}{space 1}   -2.49{col 50}{space 3}0.018{col 58}{space 4}-50.15818{col 71}{space 3}-5.012894
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}   14.22
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5648.813135{txt}{col 55}Centered R2   = {res}  0.0920
{txt}Total (uncentered) SS   = {res} 5648.813135{txt}{col 55}Uncentered R2 = {res}  0.0920
{txt}Residual SS             = {res}  5128.86266{txt}{col 55}Root MSE      = {res}   3.515

{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} .2141309{col 30}{space 2} .0427709{col 41}{space 1}    5.01{col 50}{space 3}0.000{col 58}{space 4} .1268992{col 71}{space 3} .3013627
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} -.102605{col 30}{space 2} .0651269{col 41}{space 1}   -1.58{col 50}{space 3}0.125{col 58}{space 4}-.2354322{col 71}{space 3} .0302223
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0085762{col 30}{space 2}  .153749{col 41}{space 1}    0.06{col 50}{space 3}0.956{col 58}{space 4}-.3049969{col 71}{space 3} .3221492
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0794868{col 30}{space 2} .1353446{col 41}{space 1}    0.59{col 50}{space 3}0.561{col 58}{space 4}-.1965503{col 71}{space 3}  .355524
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 142.5865{col 30}{space 2} 1451.748{col 41}{space 1}    0.10{col 50}{space 3}0.922{col 58}{space 4}-2818.272{col 71}{space 3} 3103.445
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 1546.582{col 30}{space 2} 553.5712{col 41}{space 1}    2.79{col 50}{space 3}0.009{col 58}{space 4} 417.5663{col 71}{space 3} 2675.598
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .8271498{col 30}{space 2} 14.68645{col 41}{space 1}    0.06{col 50}{space 3}0.955{col 58}{space 4}-29.12606{col 71}{space 3} 30.78036
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-4.600705{col 30}{space 2} 4.549086{col 41}{space 1}   -1.01{col 50}{space 3}0.320{col 58}{space 4}-13.87863{col 71}{space 3} 4.677217
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-30.14925{col 30}{space 2} 11.11959{col 41}{space 1}   -2.71{col 50}{space 3}0.011{col 58}{space 4}-52.82779{col 71}{space 3}-7.470702
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}   23.56
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5822.951702{txt}{col 55}Centered R2   = {res}  0.1000
{txt}Total (uncentered) SS   = {res} 5822.951702{txt}{col 55}Uncentered R2 = {res}  0.1000
{txt}Residual SS             = {res} 5240.630766{txt}{col 55}Root MSE      = {res}   3.554

{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} .2212042{col 30}{space 2}  .038189{col 41}{space 1}    5.79{col 50}{space 3}0.000{col 58}{space 4} .1433173{col 71}{space 3} .2990911
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0864082{col 30}{space 2} .0626544{col 41}{space 1}   -1.38{col 50}{space 3}0.178{col 58}{space 4}-.2141927{col 71}{space 3} .0413764
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0057007{col 30}{space 2} .1411158{col 41}{space 1}   -0.04{col 50}{space 3}0.968{col 58}{space 4}-.2935083{col 71}{space 3} .2821068
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}  .048901{col 30}{space 2}  .143385{col 41}{space 1}    0.34{col 50}{space 3}0.735{col 58}{space 4}-.2435346{col 71}{space 3} .3413366
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -397.177{col 30}{space 2} 1570.503{col 41}{space 1}   -0.25{col 50}{space 3}0.802{col 58}{space 4}-3600.239{col 71}{space 3} 2805.885
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 1663.802{col 30}{space 2} 622.0131{col 41}{space 1}    2.67{col 50}{space 3}0.012{col 58}{space 4} 395.1983{col 71}{space 3} 2932.406
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 6.537732{col 30}{space 2}   15.866{col 41}{space 1}    0.41{col 50}{space 3}0.683{col 58}{space 4}-25.82119{col 71}{space 3} 38.89665
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.629258{col 30}{space 2} 4.569079{col 41}{space 1}   -1.23{col 50}{space 3}0.227{col 58}{space 4}-14.94796{col 71}{space 3} 3.689441
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-32.23655{col 30}{space 2} 12.48894{col 41}{space 1}   -2.58{col 50}{space 3}0.015{col 58}{space 4}-57.70791{col 71}{space 3}-6.765203
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}   23.72
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5554.304167{txt}{col 55}Centered R2   = {res}  0.0843
{txt}Total (uncentered) SS   = {res} 5554.304167{txt}{col 55}Uncentered R2 = {res}  0.0843
{txt}Residual SS             = {res} 5086.157626{txt}{col 55}Root MSE      = {res}   3.501

{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} .2055212{col 30}{space 2}  .049184{col 41}{space 1}    4.18{col 50}{space 3}0.000{col 58}{space 4} .1052097{col 71}{space 3} .3058327
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0508325{col 30}{space 2} .0584884{col 41}{space 1}   -0.87{col 50}{space 3}0.391{col 58}{space 4}-.1701203{col 71}{space 3} .0684554
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0493188{col 30}{space 2}  .147257{col 41}{space 1}   -0.33{col 50}{space 3}0.740{col 58}{space 4}-.3496514{col 71}{space 3} .2510139
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0962143{col 30}{space 2}  .142891{col 41}{space 1}    0.67{col 50}{space 3}0.506{col 58}{space 4}-.1952138{col 71}{space 3} .3876423
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-589.8325{col 30}{space 2} 1351.629{col 41}{space 1}   -0.44{col 50}{space 3}0.666{col 58}{space 4}-3346.498{col 71}{space 3} 2166.833
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 1448.271{col 30}{space 2} 521.8764{col 41}{space 1}    2.78{col 50}{space 3}0.009{col 58}{space 4} 383.8972{col 71}{space 3} 2512.645
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 8.166274{col 30}{space 2} 13.59797{col 41}{space 1}    0.60{col 50}{space 3}0.553{col 58}{space 4}-19.56696{col 71}{space 3} 35.89951
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-6.344218{col 30}{space 2} 5.172748{col 41}{space 1}   -1.23{col 50}{space 3}0.229{col 58}{space 4}-16.89411{col 71}{space 3} 4.205672
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-27.61085{col 30}{space 2} 10.53435{col 41}{space 1}   -2.62{col 50}{space 3}0.013{col 58}{space 4} -49.0958{col 71}{space 3}-6.125899
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}note: {res}variable #12{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}variable #18{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 8 iterations)
{res}
{txt}OLS estimation
{hline 14}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}   33.59
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 5437.338552{txt}{col 55}Centered R2   = {res}  0.0834
{txt}Total (uncentered) SS   = {res} 5437.338552{txt}{col 55}Uncentered R2 = {res}  0.0834
{txt}Residual SS             = {res}    4984.107{txt}{col 55}Root MSE      = {res}   3.466

{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} .2147078{col 30}{space 2} .0399403{col 41}{space 1}    5.38{col 50}{space 3}0.000{col 58}{space 4} .1332491{col 71}{space 3} .2961665
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0346717{col 30}{space 2} .0593608{col 41}{space 1}   -0.58{col 50}{space 3}0.563{col 58}{space 4}-.1557388{col 71}{space 3} .0863955
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0674074{col 30}{space 2} .1649875{col 41}{space 1}   -0.41{col 50}{space 3}0.686{col 58}{space 4}-.4039017{col 71}{space 3} .2690869
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0694501{col 30}{space 2} .1200529{col 41}{space 1}    0.58{col 50}{space 3}0.567{col 58}{space 4}-.1753995{col 71}{space 3} .3142996
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-667.3576{col 30}{space 2} 1255.112{col 41}{space 1}   -0.53{col 50}{space 3}0.599{col 58}{space 4}-3227.175{col 71}{space 3}  1892.46
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 1272.836{col 30}{space 2}  472.428{col 41}{space 1}    2.69{col 50}{space 3}0.011{col 58}{space 4} 309.3128{col 71}{space 3} 2236.359
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 8.750727{col 30}{space 2} 12.57669{col 41}{space 1}    0.70{col 50}{space 3}0.492{col 58}{space 4} -16.8996{col 71}{space 3} 34.40105
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-4.419525{col 30}{space 2} 4.776292{col 41}{space 1}   -0.93{col 50}{space 3}0.362{col 58}{space 4}-14.16084{col 71}{space 3} 5.321786
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-24.59189{col 30}{space 2} 9.664708{col 41}{space 1}   -2.54{col 50}{space 3}0.016{col 58}{space 4}-44.30319{col 71}{space 3}-4.880585
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Included instruments:{col 23}perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922
{col 23}perc_b_1923_1932 rdd_lat rdd_lon rdd_lat_2 rdd_lon_2
{col 23}rdd_lat_lon
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}perc_i_full {c |}{res}        462      7.7382    4.506989          0    39.3405

{txt}added scalar:
             e(mean_y) =  {res}7.7381999
{txt}
{com}. 
. // 1965-1969 FOR TABLE
. 
. foreach year in 1969{c -(}
{txt}  2{com}. 
.         reg perc_voixexd_ins perc_b_1903_1912 if annee==`year' & sample==1, cluster(ct_1936_enc)
{txt}  3{com}.         estimates store P`year'T1_VOTE, title(`year'R1)
{txt}  4{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         
. {c )-}

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

{txt}{ralign 82:(Std. err. adjusted for {res:32} clusters in ct_1936_enc)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_b_1903_1912 {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 11}_cons {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}added scalar:
             e(mean_y) =  {res}0
{txt}
{com}. 
. // Radical-Right
. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_voixexd_ins (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1 [pweight=w_sigma], cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  3{com}. 
.         estimates store P`year'T1_VOTE
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
.         
. {c )-}
{res}{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.62
{txt}{col 55}Prob > F      = {res}  0.1529
{txt}Total (centered) SS     = {res} 482.3701805{txt}{col 55}Centered R2   = {res}  0.0370
{txt}Total (uncentered) SS   = {res} 482.3701805{txt}{col 55}Uncentered R2 = {res}  0.0370
{txt}Residual SS             = {res} 464.5087385{txt}{col 55}Root MSE      = {res}   1.054

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .0438342{col 30}{space 2} .0897153{col 41}{space 1}    0.49{col 50}{space 3}0.629{col 58}{space 4}-.1391414{col 71}{space 3} .2268098
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0017737{col 30}{space 2} .0175001{col 41}{space 1}   -0.10{col 50}{space 3}0.920{col 58}{space 4}-.0374653{col 71}{space 3} .0339179
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0143851{col 30}{space 2} .0352215{col 41}{space 1}    0.41{col 50}{space 3}0.686{col 58}{space 4}-.0574496{col 71}{space 3} .0862198
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0918082{col 30}{space 2} .0439914{col 41}{space 1}   -2.09{col 50}{space 3}0.045{col 58}{space 4}-.1815293{col 71}{space 3}-.0020871
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-189.8028{col 30}{space 2} 561.5955{col 41}{space 1}   -0.34{col 50}{space 3}0.738{col 58}{space 4}-1335.184{col 71}{space 3} 955.5788
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -35.8511{col 30}{space 2} 190.0401{col 41}{space 1}   -0.19{col 50}{space 3}0.852{col 58}{space 4}-423.4405{col 71}{space 3} 351.7383
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.907221{col 30}{space 2} 5.801987{col 41}{space 1}    0.33{col 50}{space 3}0.745{col 58}{space 4}-9.926009{col 71}{space 3} 13.74045
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.097479{col 30}{space 2} 1.424968{col 41}{space 1}    0.77{col 50}{space 3}0.447{col 58}{space 4}-1.808762{col 71}{space 3}  4.00372
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} .3885074{col 30}{space 2} 3.764403{col 41}{space 1}    0.10{col 50}{space 3}0.918{col 58}{space 4}-7.289043{col 71}{space 3} 8.066058
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   6.516
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0107
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  11.455
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  15.044
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}15.043773

{txt}added scalar:
             e(mean_y) =  {res}1.2057242
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.06
{txt}{col 55}Prob > F      = {res}  0.4207
{txt}Total (centered) SS     = {res} 56.11925904{txt}{col 55}Centered R2   = {res}  0.0086
{txt}Total (uncentered) SS   = {res} 56.11925904{txt}{col 55}Uncentered R2 = {res}  0.0086
{txt}Residual SS             = {res} 55.63905973{txt}{col 55}Root MSE      = {res}   .3648

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}  .005189{col 30}{space 2} .0171078{col 41}{space 1}    0.30{col 50}{space 3}0.764{col 58}{space 4}-.0297026{col 71}{space 3} .0400806
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0043751{col 30}{space 2} .0061136{col 41}{space 1}    0.72{col 50}{space 3}0.480{col 58}{space 4}-.0080936{col 71}{space 3} .0168439
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0093884{col 30}{space 2}  .010736{col 41}{space 1}   -0.87{col 50}{space 3}0.389{col 58}{space 4}-.0312846{col 71}{space 3} .0125078
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0144357{col 30}{space 2} .0095817{col 41}{space 1}   -1.51{col 50}{space 3}0.142{col 58}{space 4}-.0339777{col 71}{space 3} .0051064
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 46.22476{col 30}{space 2} 134.8823{col 41}{space 1}    0.34{col 50}{space 3}0.734{col 58}{space 4}-228.8695{col 71}{space 3}  321.319
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1.907359{col 30}{space 2} 62.56524{col 41}{space 1}   -0.03{col 50}{space 3}0.976{col 58}{space 4}  -129.51{col 71}{space 3} 125.6953
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-.4766576{col 30}{space 2} 1.346177{col 41}{space 1}   -0.35{col 50}{space 3}0.726{col 58}{space 4}-3.222204{col 71}{space 3} 2.268889
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .2759944{col 30}{space 2} .5698187{col 41}{space 1}    0.48{col 50}{space 3}0.632{col 58}{space 4}-.8861585{col 71}{space 3} 1.438147
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-.0422872{col 30}{space 2}  1.24599{col 41}{space 1}   -0.03{col 50}{space 3}0.973{col 58}{space 4}-2.583501{col 71}{space 3} 2.498927
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.815
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.086
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.246
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}23.245709

{txt}added scalar:
             e(mean_y) =  {res}.3129585
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    5.06
{txt}{col 55}Prob > F      = {res}  0.0003
{txt}Total (centered) SS     = {res}  7710.61936{txt}{col 55}Centered R2   = {res} -0.2919
{txt}Total (uncentered) SS   = {res}  7710.61936{txt}{col 55}Uncentered R2 = {res} -0.2919
{txt}Residual SS             = {res} 9961.626539{txt}{col 55}Root MSE      = {res}   4.888

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .9401013{col 30}{space 2} .4110769{col 41}{space 1}    2.29{col 50}{space 3}0.029{col 58}{space 4} .1017043{col 71}{space 3} 1.778498
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0480679{col 30}{space 2} .0832955{col 41}{space 1}    0.58{col 50}{space 3}0.568{col 58}{space 4}-.1218145{col 71}{space 3} .2179503
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0034588{col 30}{space 2} .2552428{col 41}{space 1}    0.01{col 50}{space 3}0.989{col 58}{space 4}-.5171124{col 71}{space 3}   .52403
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1556006{col 30}{space 2} .2279033{col 41}{space 1}   -0.68{col 50}{space 3}0.500{col 58}{space 4}-.6204125{col 71}{space 3} .3092113
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-704.5046{col 30}{space 2} 2342.869{col 41}{space 1}   -0.30{col 50}{space 3}0.766{col 58}{space 4}-5482.818{col 71}{space 3} 4073.809
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2639.776{col 30}{space 2} 835.5915{col 41}{space 1}   -3.16{col 50}{space 3}0.004{col 58}{space 4}-4343.976{col 71}{space 3}-935.5757
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 3.189279{col 30}{space 2}  23.8005{col 41}{space 1}    0.13{col 50}{space 3}0.894{col 58}{space 4}-45.35215{col 71}{space 3} 51.73071
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.272545{col 30}{space 2} 8.293744{col 41}{space 1}    0.27{col 50}{space 3}0.786{col 58}{space 4}-14.64266{col 71}{space 3} 19.18775
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 52.88127{col 30}{space 2} 16.71776{col 41}{space 1}    3.16{col 50}{space 3}0.003{col 58}{space 4} 18.78518{col 71}{space 3} 86.97736
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.544
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0060
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  12.181
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.242
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}23.242308

{txt}added scalar:
             e(mean_y) =  {res}22.177668
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.89
{txt}{col 55}Prob > F      = {res}  0.0022
{txt}Total (centered) SS     = {res} 7054.545641{txt}{col 55}Centered R2   = {res} -0.1704
{txt}Total (uncentered) SS   = {res} 7054.545641{txt}{col 55}Uncentered R2 = {res} -0.1704
{txt}Residual SS             = {res} 8256.905518{txt}{col 55}Root MSE      = {res}    4.45

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .5535952{col 30}{space 2} .2892016{col 41}{space 1}    1.91{col 50}{space 3}0.065{col 58}{space 4}-.0362354{col 71}{space 3} 1.143426
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0151671{col 30}{space 2} .0838156{col 41}{space 1}    0.18{col 50}{space 3}0.858{col 58}{space 4}-.1557759{col 71}{space 3} .1861101
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0075641{col 30}{space 2} .1745273{col 41}{space 1}    0.04{col 50}{space 3}0.966{col 58}{space 4}-.3483867{col 71}{space 3}  .363515
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1884552{col 30}{space 2} .1370812{col 41}{space 1}   -1.37{col 50}{space 3}0.179{col 58}{space 4}-.4680342{col 71}{space 3} .0911238
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3124.936{col 30}{space 2} 1753.042{col 41}{space 1}   -1.78{col 50}{space 3}0.084{col 58}{space 4} -6700.29{col 71}{space 3}  450.417
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -2271.34{col 30}{space 2} 982.8365{col 41}{space 1}   -2.31{col 50}{space 3}0.028{col 58}{space 4}-4275.848{col 71}{space 3}-266.8314
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 28.65435{col 30}{space 2} 17.32818{col 41}{space 1}    1.65{col 50}{space 3}0.108{col 58}{space 4}-6.686699{col 71}{space 3}  63.9954
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 8.016932{col 30}{space 2} 7.419273{col 41}{space 1}    1.08{col 50}{space 3}0.288{col 58}{space 4}-7.114775{col 71}{space 3} 23.14864
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}  43.8145{col 30}{space 2} 20.15551{col 41}{space 1}    2.17{col 50}{space 3}0.037{col 58}{space 4} 2.707074{col 71}{space 3} 84.92193
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.517
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0035
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.151
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.186
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.185511

{txt}added scalar:
             e(mean_y) =  {res}22.249573
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.65
{txt}{col 55}Prob > F      = {res}  0.0033
{txt}Total (centered) SS     = {res} 5259.350374{txt}{col 55}Centered R2   = {res}  0.0738
{txt}Total (uncentered) SS   = {res} 5259.350374{txt}{col 55}Uncentered R2 = {res}  0.0738
{txt}Residual SS             = {res} 4871.040719{txt}{col 55}Root MSE      = {res}   3.418

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .1086317{col 30}{space 2} .1965277{col 41}{space 1}    0.55{col 50}{space 3}0.584{col 58}{space 4}-.2921892{col 71}{space 3} .5094526
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0001431{col 30}{space 2} .0555324{col 41}{space 1}   -0.00{col 50}{space 3}0.998{col 58}{space 4}-.1134022{col 71}{space 3}  .113116
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0951317{col 30}{space 2} .0865468{col 41}{space 1}    1.10{col 50}{space 3}0.280{col 58}{space 4}-.0813817{col 71}{space 3} .2716451
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1661708{col 30}{space 2} .1444162{col 41}{space 1}   -1.15{col 50}{space 3}0.259{col 58}{space 4}-.4607095{col 71}{space 3} .1283678
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3262.915{col 30}{space 2} 1509.399{col 41}{space 1}   -2.16{col 50}{space 3}0.038{col 58}{space 4}-6341.354{col 71}{space 3}-184.4765
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2375.521{col 30}{space 2} 678.4711{col 41}{space 1}   -3.50{col 50}{space 3}0.001{col 58}{space 4}-3759.272{col 71}{space 3}-991.7705
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 29.76673{col 30}{space 2} 15.56303{col 41}{space 1}    1.91{col 50}{space 3}0.065{col 58}{space 4}-1.974265{col 71}{space 3} 61.50773
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} -2.56733{col 30}{space 2} 5.125311{col 41}{space 1}   -0.50{col 50}{space 3}0.620{col 58}{space 4}-13.02047{col 71}{space 3} 7.885811
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 49.20486{col 30}{space 2}  14.0442{col 41}{space 1}    3.50{col 50}{space 3}0.001{col 58}{space 4} 20.56152{col 71}{space 3} 77.84819
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.294
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0013
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.930
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  33.713
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}33.713133

{txt}added scalar:
             e(mean_y) =  {res}14.88564
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.88
{txt}{col 55}Prob > F      = {res}  0.0022
{txt}Total (centered) SS     = {res}  6453.96273{txt}{col 55}Centered R2   = {res}  0.0313
{txt}Total (uncentered) SS   = {res}  6453.96273{txt}{col 55}Uncentered R2 = {res}  0.0313
{txt}Residual SS             = {res} 6251.988493{txt}{col 55}Root MSE      = {res}   3.872

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .3621343{col 30}{space 2} .2488189{col 41}{space 1}    1.46{col 50}{space 3}0.156{col 58}{space 4}-.1453352{col 71}{space 3} .8696037
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0132702{col 30}{space 2} .0648262{col 41}{space 1}   -0.20{col 50}{space 3}0.839{col 58}{space 4}-.1454842{col 71}{space 3} .1189438
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0966687{col 30}{space 2} .1023482{col 41}{space 1}   -0.94{col 50}{space 3}0.352{col 58}{space 4}-.3054093{col 71}{space 3} .1120719
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0567544{col 30}{space 2} .1312478{col 41}{space 1}   -0.43{col 50}{space 3}0.668{col 58}{space 4}-.3244361{col 71}{space 3} .2109272
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -2359.69{col 30}{space 2} 1476.728{col 41}{space 1}   -1.60{col 50}{space 3}0.120{col 58}{space 4}-5371.497{col 71}{space 3} 652.1163
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3327.913{col 30}{space 2} 853.9817{col 41}{space 1}   -3.90{col 50}{space 3}0.000{col 58}{space 4} -5069.62{col 71}{space 3}-1586.206
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 19.12416{col 30}{space 2} 15.56142{col 41}{space 1}    1.23{col 50}{space 3}0.228{col 58}{space 4}-12.61356{col 71}{space 3} 50.86187
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.8542373{col 30}{space 2} 5.673625{col 41}{space 1}   -0.15{col 50}{space 3}0.881{col 58}{space 4}-12.42567{col 71}{space 3}  10.7172
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 68.10914{col 30}{space 2}  17.4049{col 41}{space 1}    3.91{col 50}{space 3}0.000{col 58}{space 4} 32.61162{col 71}{space 3} 103.6067
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.255
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0014
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  10.568
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  17.545
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}17.544976

{txt}added scalar:
             e(mean_y) =  {res}23.237011
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.34
{txt}{col 55}Prob > F      = {res}  0.0378
{txt}Total (centered) SS     = {res} 8232.102535{txt}{col 55}Centered R2   = {res}  0.0378
{txt}Total (uncentered) SS   = {res} 8232.102535{txt}{col 55}Uncentered R2 = {res}  0.0378
{txt}Residual SS             = {res} 7920.674368{txt}{col 55}Root MSE      = {res}   4.358

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} -.143128{col 30}{space 2} .2921857{col 41}{space 1}   -0.49{col 50}{space 3}0.628{col 58}{space 4}-.7390446{col 71}{space 3} .4527885
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1349475{col 30}{space 2} .0733166{col 41}{space 1}    1.84{col 50}{space 3}0.075{col 58}{space 4}-.0145827{col 71}{space 3} .2844777
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1102117{col 30}{space 2} .1331731{col 41}{space 1}   -0.83{col 50}{space 3}0.414{col 58}{space 4}-.3818199{col 71}{space 3} .1613966
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .1230793{col 30}{space 2} .1388815{col 41}{space 1}    0.89{col 50}{space 3}0.382{col 58}{space 4}-.1601713{col 71}{space 3} .4063299
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-224.9042{col 30}{space 2} 2377.916{col 41}{space 1}   -0.09{col 50}{space 3}0.925{col 58}{space 4}-5074.696{col 71}{space 3} 4624.887
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1843.183{col 30}{space 2} 1329.866{col 41}{space 1}   -1.39{col 50}{space 3}0.176{col 58}{space 4}-4555.462{col 71}{space 3}  869.096
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-.4461888{col 30}{space 2} 24.33335{col 41}{space 1}   -0.02{col 50}{space 3}0.985{col 58}{space 4}-50.07438{col 71}{space 3}   49.182
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.040508{col 30}{space 2}  5.72386{col 41}{space 1}   -0.18{col 50}{space 3}0.857{col 58}{space 4} -12.7144{col 71}{space 3} 10.63338
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 37.86919{col 30}{space 2} 26.49812{col 41}{space 1}    1.43{col 50}{space 3}0.163{col 58}{space 4}-16.17408{col 71}{space 3} 91.91245
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.498
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0012
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  11.980
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  29.038
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}29.037663

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

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1965 {c |}{res}        462      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        462      100.00
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.69
{txt}{col 55}Prob > F      = {res}  0.0194
{txt}Total (centered) SS     = {res} 12164.47892{txt}{col 55}Centered R2   = {res} -0.3249
{txt}Total (uncentered) SS   = {res} 12164.47892{txt}{col 55}Uncentered R2 = {res} -0.3249
{txt}Residual SS             = {res}  16117.0254{txt}{col 55}Root MSE      = {res}   6.209

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} 1.359443{col 30}{space 2} .4681846{col 41}{space 1}    2.90{col 50}{space 3}0.007{col 58}{space 4} .4045744{col 71}{space 3} 2.314312
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1065294{col 30}{space 2} .0939404{col 41}{space 1}   -1.13{col 50}{space 3}0.265{col 58}{space 4}-.2981221{col 71}{space 3} .0850632
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1874592{col 30}{space 2} .2395766{col 41}{space 1}    0.78{col 50}{space 3}0.440{col 58}{space 4}-.3011605{col 71}{space 3} .6760788
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.7994172{col 30}{space 2} .2153128{col 41}{space 1}   -3.71{col 50}{space 3}0.001{col 58}{space 4} -1.23855{col 71}{space 3}-.3602839
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1693.503{col 30}{space 2} 3635.584{col 41}{space 1}   -0.47{col 50}{space 3}0.645{col 58}{space 4}-9108.326{col 71}{space 3} 5721.321
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 351.7799{col 30}{space 2} 1244.133{col 41}{space 1}    0.28{col 50}{space 3}0.779{col 58}{space 4}-2185.645{col 71}{space 3} 2889.205
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 17.88786{col 30}{space 2} 36.90179{col 41}{space 1}    0.48{col 50}{space 3}0.631{col 58}{space 4}-57.37385{col 71}{space 3} 93.14956
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-3.370132{col 30}{space 2} 9.421648{col 41}{space 1}   -0.36{col 50}{space 3}0.723{col 58}{space 4}-22.58571{col 71}{space 3} 15.84545
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-6.333706{col 30}{space 2} 25.56178{col 41}{space 1}   -0.25{col 50}{space 3}0.806{col 58}{space 4} -58.4673{col 71}{space 3} 45.79989
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   6.516
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0107
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  11.455
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  15.044
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}15.043773

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

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1969 {c |}{res}        462      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        462      100.00
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.11
{txt}{col 55}Prob > F      = {res}  0.0597
{txt}Total (centered) SS     = {res} 18628.00537{txt}{col 55}Centered R2   = {res} -0.6828
{txt}Total (uncentered) SS   = {res} 18628.00537{txt}{col 55}Uncentered R2 = {res} -0.6828
{txt}Residual SS             = {res} 31347.23993{txt}{col 55}Root MSE      = {res}    8.66

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} 1.983351{col 30}{space 2} .6674524{col 41}{space 1}    2.97{col 50}{space 3}0.006{col 58}{space 4} .6220725{col 71}{space 3} 3.344629
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1020564{col 30}{space 2} .1648001{col 41}{space 1}    0.62{col 50}{space 3}0.540{col 58}{space 4}-.2340556{col 71}{space 3} .4381684
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0184994{col 30}{space 2} .3008979{col 41}{space 1}    0.06{col 50}{space 3}0.951{col 58}{space 4}-.5951859{col 71}{space 3} .6321847
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-1.149549{col 30}{space 2} .3768851{col 41}{space 1}   -3.05{col 50}{space 3}0.005{col 58}{space 4}-1.918211{col 71}{space 3}-.3808863
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1421.525{col 30}{space 2} 4113.137{col 41}{space 1}   -0.35{col 50}{space 3}0.732{col 58}{space 4}-9810.323{col 71}{space 3} 6967.273
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1031.346{col 30}{space 2} 1471.059{col 41}{space 1}   -0.70{col 50}{space 3}0.488{col 58}{space 4} -4031.59{col 71}{space 3} 1968.899
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 13.24532{col 30}{space 2} 42.45919{col 41}{space 1}    0.31{col 50}{space 3}0.757{col 58}{space 4}-73.35077{col 71}{space 3} 99.84142
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.461039{col 30}{space 2} 11.18799{col 41}{space 1}    0.22{col 50}{space 3}0.827{col 58}{space 4}-20.35702{col 71}{space 3}  25.2791
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 19.95694{col 30}{space 2} 29.93345{col 41}{space 1}    0.67{col 50}{space 3}0.510{col 58}{space 4}-41.09273{col 71}{space 3} 81.00661
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.157
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0075
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.817
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.036
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}20.035649

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

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1974 {c |}{res}        462      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        462      100.00
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.14
{txt}{col 55}Prob > F      = {res}  0.0083
{txt}Total (centered) SS     = {res} 9029.128305{txt}{col 55}Centered R2   = {res} -0.1851
{txt}Total (uncentered) SS   = {res} 9029.128305{txt}{col 55}Uncentered R2 = {res} -0.1851
{txt}Residual SS             = {res}  10700.4383{txt}{col 55}Root MSE      = {res}    5.06

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .9128298{col 30}{space 2} .3138857{col 41}{space 1}    2.91{col 50}{space 3}0.007{col 58}{space 4} .2726557{col 71}{space 3} 1.553004
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1002212{col 30}{space 2} .1039411{col 41}{space 1}    0.96{col 50}{space 3}0.342{col 58}{space 4}-.1117681{col 71}{space 3} .3122106
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1182895{col 30}{space 2} .1810879{col 41}{space 1}   -0.65{col 50}{space 3}0.518{col 58}{space 4}-.4876208{col 71}{space 3} .2510417
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.5598651{col 30}{space 2} .2677616{col 41}{space 1}   -2.09{col 50}{space 3}0.045{col 58}{space 4}-1.105968{col 71}{space 3}-.0137618
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1180.783{col 30}{space 2} 1423.255{col 41}{space 1}   -0.83{col 50}{space 3}0.413{col 58}{space 4} -4083.53{col 71}{space 3} 1721.963
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1984.487{col 30}{space 2} 604.1729{col 41}{space 1}   -3.28{col 50}{space 3}0.003{col 58}{space 4}-3216.706{col 71}{space 3}-752.2683
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 9.166368{col 30}{space 2}  14.5414{col 41}{space 1}    0.63{col 50}{space 3}0.533{col 58}{space 4}-20.49102{col 71}{space 3} 38.82376
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.7781968{col 30}{space 2} 4.716117{col 41}{space 1}   -0.17{col 50}{space 3}0.870{col 58}{space 4}-10.39678{col 71}{space 3} 8.840388
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 40.72547{col 30}{space 2} 11.94787{col 41}{space 1}    3.41{col 50}{space 3}0.002{col 58}{space 4} 16.35763{col 71}{space 3} 65.09332
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.815
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.086
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.246
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}23.245709

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

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1995 {c |}{res}        462      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        462      100.00
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.61
{txt}{col 55}Prob > F      = {res}  0.1568
{txt}Total (centered) SS     = {res} 5541.976755{txt}{col 55}Centered R2   = {res}  0.0257
{txt}Total (uncentered) SS   = {res} 5541.976755{txt}{col 55}Uncentered R2 = {res}  0.0257
{txt}Residual SS             = {res}  5399.78721{txt}{col 55}Root MSE      = {res}   3.598

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .0047291{col 30}{space 2}  .293202{col 41}{space 1}    0.02{col 50}{space 3}0.987{col 58}{space 4}-.5932604{col 71}{space 3} .6027187
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0478854{col 30}{space 2} .0786644{col 41}{space 1}    0.61{col 50}{space 3}0.547{col 58}{space 4}-.1125516{col 71}{space 3} .2083224
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1188934{col 30}{space 2} .1540922{col 41}{space 1}    0.77{col 50}{space 3}0.446{col 58}{space 4}-.1953797{col 71}{space 3} .4331665
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.200827{col 30}{space 2} .0966999{col 41}{space 1}   -2.08{col 50}{space 3}0.046{col 58}{space 4}-.3980478{col 71}{space 3}-.0036062
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3154.985{col 30}{space 2} 2495.342{col 41}{space 1}   -1.26{col 50}{space 3}0.216{col 58}{space 4}-8244.267{col 71}{space 3} 1934.298
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-522.0575{col 30}{space 2} 963.7467{col 41}{space 1}   -0.54{col 50}{space 3}0.592{col 58}{space 4}-2487.632{col 71}{space 3} 1443.517
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 31.61893{col 30}{space 2} 25.05756{col 41}{space 1}    1.26{col 50}{space 3}0.216{col 58}{space 4} -19.4863{col 71}{space 3} 82.72416
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.622819{col 30}{space 2} 4.665055{col 41}{space 1}    0.35{col 50}{space 3}0.730{col 58}{space 4}-7.891623{col 71}{space 3} 11.13726
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 10.26071{col 30}{space 2} 20.00506{col 41}{space 1}    0.51{col 50}{space 3}0.612{col 58}{space 4}-30.53987{col 71}{space 3} 51.06129
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   7.544
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0060
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  12.181
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.242
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}23.242308

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

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2002 {c |}{res}        462      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        462      100.00
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.10
{txt}{col 55}Prob > F      = {res}  0.0090
{txt}Total (centered) SS     = {res} 7076.808245{txt}{col 55}Centered R2   = {res} -0.8932
{txt}Total (uncentered) SS   = {res} 7076.808245{txt}{col 55}Uncentered R2 = {res} -0.8932
{txt}Residual SS             = {res} 13398.14476{txt}{col 55}Root MSE      = {res}   5.668

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-1.005426{col 30}{space 2} .3146602{col 41}{space 1}   -3.20{col 50}{space 3}0.003{col 58}{space 4} -1.64718{col 71}{space 3}-.3636724
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} -.083477{col 30}{space 2} .1366408{col 41}{space 1}   -0.61{col 50}{space 3}0.546{col 58}{space 4}-.3621577{col 71}{space 3} .1952037
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  .319067{col 30}{space 2} .2123111{col 41}{space 1}    1.50{col 50}{space 3}0.143{col 58}{space 4}-.1139443{col 71}{space 3} .7520782
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .1887124{col 30}{space 2} .2367987{col 41}{space 1}    0.80{col 50}{space 3}0.432{col 58}{space 4}-.2942418{col 71}{space 3} .6716666
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2254.531{col 30}{space 2} 2482.664{col 41}{space 1}   -0.91{col 50}{space 3}0.371{col 58}{space 4}-7317.958{col 71}{space 3} 2808.896
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 966.3181{col 30}{space 2} 1126.122{col 41}{space 1}    0.86{col 50}{space 3}0.397{col 58}{space 4}-1330.424{col 71}{space 3}  3263.06
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 24.66928{col 30}{space 2} 24.92226{col 41}{space 1}    0.99{col 50}{space 3}0.330{col 58}{space 4}   -26.16{col 71}{space 3} 75.49856
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-4.557652{col 30}{space 2} 6.457944{col 41}{space 1}   -0.71{col 50}{space 3}0.486{col 58}{space 4}-17.72872{col 71}{space 3} 8.613412
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-18.20315{col 30}{space 2}  22.2978{col 41}{space 1}   -0.82{col 50}{space 3}0.421{col 58}{space 4}-63.67982{col 71}{space 3} 27.27352
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.517
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0035
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.151
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.186
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}25.185511

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

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2007 {c |}{res}        462      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        462      100.00
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    2.39
{txt}{col 55}Prob > F      = {res}  0.0343
{txt}Total (centered) SS     = {res} 3834.688954{txt}{col 55}Centered R2   = {res} -0.4451
{txt}Total (uncentered) SS   = {res} 3834.688954{txt}{col 55}Uncentered R2 = {res} -0.4451
{txt}Residual SS             = {res} 5541.693084{txt}{col 55}Root MSE      = {res}   3.645

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .5751973{col 30}{space 2} .2066527{col 41}{space 1}    2.78{col 50}{space 3}0.009{col 58}{space 4} .1537263{col 71}{space 3} .9966682
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0754831{col 30}{space 2} .0656285{col 41}{space 1}   -1.15{col 50}{space 3}0.259{col 58}{space 4}-.2093334{col 71}{space 3} .0583672
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1353423{col 30}{space 2} .1287046{col 41}{space 1}   -1.05{col 50}{space 3}0.301{col 58}{space 4}-.3978371{col 71}{space 3} .1271524
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0986983{col 30}{space 2} .0949988{col 41}{space 1}   -1.04{col 50}{space 3}0.307{col 58}{space 4}-.2924496{col 71}{space 3}  .095053
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1058.453{col 30}{space 2} 1415.596{col 41}{space 1}   -0.75{col 50}{space 3}0.460{col 58}{space 4}-3945.581{col 71}{space 3} 1828.674
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1648.604{col 30}{space 2} 775.9648{col 41}{space 1}   -2.12{col 50}{space 3}0.042{col 58}{space 4}-3231.194{col 71}{space 3}-66.01293
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 8.637486{col 30}{space 2} 14.64142{col 41}{space 1}    0.59{col 50}{space 3}0.560{col 58}{space 4}-21.22389{col 71}{space 3} 38.49886
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 13.21258{col 30}{space 2} 5.046165{col 41}{space 1}    2.62{col 50}{space 3}0.014{col 58}{space 4} 2.920855{col 71}{space 3}  23.5043
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 29.72715{col 30}{space 2} 15.25998{col 41}{space 1}    1.95{col 50}{space 3}0.061{col 58}{space 4}-1.395792{col 71}{space 3} 60.85009
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.294
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0013
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.930
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  33.713
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}33.713133

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

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2012 {c |}{res}        462      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        462      100.00
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    1.33
{txt}{col 55}Prob > F      = {res}  0.2638
{txt}Total (centered) SS     = {res} 4438.285783{txt}{col 55}Centered R2   = {res}  0.0266
{txt}Total (uncentered) SS   = {res} 4438.285783{txt}{col 55}Uncentered R2 = {res}  0.0266
{txt}Residual SS             = {res} 4320.017419{txt}{col 55}Root MSE      = {res}   3.219

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .0700838{col 30}{space 2} .2585612{col 41}{space 1}    0.27{col 50}{space 3}0.788{col 58}{space 4}-.4572552{col 71}{space 3} .5974229
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0135358{col 30}{space 2} .0678551{col 41}{space 1}   -0.20{col 50}{space 3}0.843{col 58}{space 4}-.1519273{col 71}{space 3} .1248557
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0468601{col 30}{space 2} .1187614{col 41}{space 1}    0.39{col 50}{space 3}0.696{col 58}{space 4}-.1953554{col 71}{space 3} .2890756
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1418539{col 30}{space 2} .0986775{col 41}{space 1}   -1.44{col 50}{space 3}0.161{col 58}{space 4} -.343108{col 71}{space 3} .0594002
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1100.627{col 30}{space 2}  969.919{col 41}{space 1}   -1.13{col 50}{space 3}0.265{col 58}{space 4} -3078.79{col 71}{space 3} 877.5355
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-653.7633{col 30}{space 2} 558.5835{col 41}{space 1}   -1.17{col 50}{space 3}0.251{col 58}{space 4}-1793.002{col 71}{space 3} 485.4752
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 10.47214{col 30}{space 2} 9.895202{col 41}{space 1}    1.06{col 50}{space 3}0.298{col 58}{space 4}-9.709261{col 71}{space 3} 30.65353
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 6.743572{col 30}{space 2} 4.342533{col 41}{space 1}    1.55{col 50}{space 3}0.131{col 58}{space 4}-2.113082{col 71}{space 3} 15.60023
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 11.32104{col 30}{space 2}   11.099{col 41}{space 1}    1.02{col 50}{space 3}0.316{col 58}{space 4}-11.31551{col 71}{space 3}  33.9576
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.255
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0014
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  10.568
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  17.545
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}17.544976

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

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2017 {c |}{res}        462      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        462      100.00
{txt}(sum of wgt is     4.5200e+02)
Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

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

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  9,    31) = {res}    3.37
{txt}{col 55}Prob > F      = {res}  0.0055
{txt}Total (centered) SS     = {res} 5942.226179{txt}{col 55}Centered R2   = {res} -0.3310
{txt}Total (uncentered) SS   = {res} 5942.226179{txt}{col 55}Uncentered R2 = {res} -0.3310
{txt}Residual SS             = {res} 7909.089736{txt}{col 55}Root MSE      = {res}   4.355

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .6235337{col 30}{space 2} .2972767{col 41}{space 1}    2.10{col 50}{space 3}0.044{col 58}{space 4} .0172338{col 71}{space 3} 1.229834
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1736921{col 30}{space 2} .0673461{col 41}{space 1}   -2.58{col 50}{space 3}0.015{col 58}{space 4}-.3110453{col 71}{space 3}-.0363389
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0486491{col 30}{space 2}  .173379{col 41}{space 1}   -0.28{col 50}{space 3}0.781{col 58}{space 4} -.402258{col 71}{space 3} .3049598
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2427994{col 30}{space 2} .1554028{col 41}{space 1}   -1.56{col 50}{space 3}0.128{col 58}{space 4}-.5597455{col 71}{space 3} .0741467
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1709.932{col 30}{space 2} 1498.143{col 41}{space 1}   -1.14{col 50}{space 3}0.262{col 58}{space 4}-4765.414{col 71}{space 3}  1345.55
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1369.826{col 30}{space 2} 751.6699{col 41}{space 1}   -1.82{col 50}{space 3}0.078{col 58}{space 4}-2902.867{col 71}{space 3}  163.215
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 15.52658{col 30}{space 2}  15.3159{col 41}{space 1}    1.01{col 50}{space 3}0.319{col 58}{space 4}-15.71041{col 71}{space 3} 46.76356
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 5.508925{col 30}{space 2} 6.380776{col 41}{space 1}    0.86{col 50}{space 3}0.395{col 58}{space 4}-7.504753{col 71}{space 3}  18.5226
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 26.17974{col 30}{space 2} 15.40753{col 41}{space 1}    1.70{col 50}{space 3}0.099{col 58}{space 4}-5.244128{col 71}{space 3}  57.6036
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.498
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0012
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  11.980
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  29.038
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}29.037663

{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}. la var perc_i_full                      "\\ Conscripted (\%)"
{txt}
{com}. 
. // First-Stage
. 
. estout P1965T1_FS P1969T1_FS P1974T1_FS P1995T1_FS P2002T1_FS P2007T1_FS P2012T1_FS P2017T1_FS ///
>         using "$results\\$program.tex", replace style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y, lab("\\ Mean dep. variable") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_e_1908_1927) ///
>         order(perc_e_1908_1927) ///
>         title("Conscription and electoral outcomes: Balancing religious affiliations") ///
>         prehead( ///
>         "\begin{c -(}table{c )-}[t!]" ///
>         "\begin{c -(}center{c )-}" ///
>         "\begin{c -(}threeparttable{c )-}" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\caption{c -(}@title\label{c -(}$program{c )-}{c )-}" ///
>         "\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}@M{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}" ///
>         "\hline" "\hline" ///
>         "&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\" ///   
>         "       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\" ///
>         "\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}" ///
>         "\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\" ///
>         "%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: First-Stage Estimates. Dep. Variable: Conscripted (\%){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
\begin{c -(}table{c )-}[t!]
\begin{c -(}center{c )-}
\begin{c -(}threeparttable{c )-}
\begin{c -(}scriptsize{c )-}
\caption{c -(}Conscription and electoral outcomes: Balancing religious affiliations\label{c -(}EEREV-D-21-00004_TableC3{c )-}{c )-}
\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}8{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}
\hline
\hline
&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\
       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\
\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: First-Stage Estimates. Dep. Variable: Conscripted (\%){c )-}\\
\hline
\\ Eligible births (\%)&       0.205***&       0.234***&       0.218***&       0.216***&       0.214***&       0.221***&       0.206***&       0.215***\\
                    &     (0.053)   &     (0.052)   &     (0.045)   &     (0.045)   &     (0.043)   &     (0.038)   &     (0.049)   &     (0.040)   \\

\\ Mean dep. variable&        7.74   &        7.74   &        7.74   &        7.74   &        7.74   &        7.74   &        7.74   &        7.74   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC3.tex"'})

{com}. 
. // Radical-Right
. 
. estout P1965T1_VOTE P1969T1_VOTE P1974T1_VOTE P1995T1_VOTE P2002T1_VOTE P2007T1_VOTE P2012T1_VOTE P2017T1_VOTE ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y, lab("\\ Mean dep. variable") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: 2SLS Estimates. Dep. Variable: Radical right-wing vote (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: 2SLS Estimates. Dep. Variable: Radical right-wing vote (\% of registered){c )-}\\
\hline
\\ Conscripted (\%) &       0.044   &               &       0.005   &       0.940** &       0.554*  &       0.109   &       0.362   &     --0.143   \\
                    &     (0.090)   &               &     (0.017)   &     (0.411)   &     (0.289)   &     (0.197)   &     (0.249)   &     (0.292)   \\

\\ Mean dep. variable&        1.21   &        0.00   &        0.31   &       22.18   &       22.25   &       14.89   &       23.24   &       27.27   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC3.tex"'})

{com}. 
. // Abstention
. 
. estout P1965T1_ABST P1969T1_ABST P1974T1_ABST P1995T1_ABST P2002T1_ABST P2007T1_ABST P2012T1_ABST P2017T1_ABST ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y, lab("\\ Mean dep. variable") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C: 2SLS Estimates. Dep. Variable: Abstention (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C: 2SLS Estimates. Dep. Variable: Abstention (\% of registered){c )-}\\
\hline
\\ Conscripted (\%) &       1.359***&       1.983***&       0.913***&       0.005   &     --1.005***&       0.575***&       0.070   &       0.624** \\
                    &     (0.468)   &     (0.667)   &     (0.314)   &     (0.293)   &     (0.315)   &     (0.207)   &     (0.259)   &     (0.297)   \\

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

{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC3.tex"'})

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

Border segment FE   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Historical dialect FE &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Full set of controls &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
\hline
First-stage $ F $-statistic&       15.04   &       20.04   &       23.25   &       23.24   &       25.19   &       33.71   &       17.54   &       29.04   \\
Observations        &         462   &         462   &         462   &         462   &         462   &         462   &         462   &         462   \\
Clusters            &          32   &          32   &          32   &          32   &          32   &          32   &          32   &          32   \\
\hline
\hline
\end{c -(}tabular*{c )-}
\end{c -(}scriptsize{c )-}
\begin{c -(}tablenotes{c )-}[normal,flushleft]
\begin{c -(}scriptsize{c )-}
\item \emph{c -(}Notes{c )-}:
2SLS estimates of the effect of conscription into the Wehrmacht on support for radical right-wing candidates and on abstention when balancing religious affiliation. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panel A: First-stage estimates; 
Panels B and C: 2SLS estimates with radical right-wing vote and abstention as the outcome, respectively. 
Each column presents the estimation for a different election. 
All specifications include a quadratic polynomial in latitude and longitude ($ x+y+x^2+y^2+xy $). 
First-stage F-statistic is the Kleibergen-Paap rk Wald F-statistic of the first-stage estimation. 
* significant at 10\%; ** at 5\%; *** at 1\%. 
\end{c -(}scriptsize{c )-}
\end{c -(}tablenotes{c )-}
\end{c -(}threeparttable{c )-}
\end{c -(}center{c )-}
\end{c -(}table{c )-}
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC3.tex"'})

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