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

{com}. set more off
{txt}
{com}. 
. /*      
>         OUTLINE
>         1. REGRESSIONS
>         2. TABLE FOR PAPER
> */
. 
. **************************
. ***** 1. REGRESSIONS *****
. **************************
. 
. // Import data
. 
. use $data\EEREV-D-21-00004_Data_Municipalities.dta, clear
{txt}
{com}. 
. // Macros
. 
. global geogr_endow                      "water lelevation_mean lelevation_std ldist_de" 
{txt}
{com}. global pop                                      "perc_b_1928_1945 perc_b_1946_1964 perc_b_1965_1980 perc_b_1981_1996 perc_male_counter"
{txt}
{com}. global demog_chara                      "lpop_counter perc_fore $pop"
{txt}
{com}. global socec_aspec                      "perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd"
{txt}
{com}. 
. // Control vectors
. 
. global sigma                            "perc_prot_church pop_jew p_french_name lpop_1936 perc_fore_1936 perc_dial_1936 perc_disp_1946 $geogr_endow perc_droi_1936_ins"
{txt}
{com}. global w                                        "$demog_chara $socec_aspec"
{txt}
{com}. global dialect                          "dialect_lux dialect_mos dialect_rhe dialect_pal dialect_als dialect_hau dialect_lor dialect_fra"
{txt}
{com}. 
. // Rdd
. 
. global rdd2                             "rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon"
{txt}
{com}. 
. // 1965-1969 FOR TABLE
. 
. foreach year in 1969{c -(}
{txt}  2{com}. 
.         reg perc_voixexd_ins borderfe if annee==`year' & sample==1, cluster(ct_1936_enc)
{txt}  3{com}.         estimates store P`year'T1_VOTE, title(`year'R1)
{txt}  4{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         
. {c )-}

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

{txt}{ralign 78:(Std. err. adjusted for {res:32} clusters in ct_1936_enc)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}perc_voixe~s{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}borderfe25 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}added scalar:
             e(mean_y) =  {res}0
{txt}
{com}. 
. // Radical-Right
. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_voixexd_ins perc_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 ///
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect pop_jew water) partial($sigma $w) //
{txt}  3{com}.                 
.         estimates store P`year'T1_VOTE
{txt}  4{com}.         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 )-}
{res}{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #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}    1.34
{txt}{col 55}Prob > F      = {res}  0.2582
{txt}Total (centered) SS     = {res} 617.1098426{txt}{col 55}Centered R2   = {res}  0.0402
{txt}Total (uncentered) SS   = {res} 617.1098426{txt}{col 55}Uncentered R2 = {res}  0.0402
{txt}Residual SS             = {res} 592.2922652{txt}{col 55}Root MSE      = {res}   1.193

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}-.0162678{col 30}{space 2} .0283357{col 41}{space 1}   -0.57{col 50}{space 3}0.570{col 58}{space 4}-.0740588{col 71}{space 3} .0415232
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0254707{col 30}{space 2} .0225949{col 41}{space 1}    1.13{col 50}{space 3}0.268{col 58}{space 4}-.0206119{col 71}{space 3} .0715532
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0521847{col 30}{space 2} .0318653{col 41}{space 1}    1.64{col 50}{space 3}0.112{col 58}{space 4}-.0128049{col 71}{space 3} .1171743
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0787531{col 30}{space 2} .0378631{col 41}{space 1}   -2.08{col 50}{space 3}0.046{col 58}{space 4}-.1559755{col 71}{space 3}-.0015307
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-685.1514{col 30}{space 2} 583.4683{col 41}{space 1}   -1.17{col 50}{space 3}0.249{col 58}{space 4}-1875.143{col 71}{space 3} 504.8401
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 214.6573{col 30}{space 2} 146.8259{col 41}{space 1}    1.46{col 50}{space 3}0.154{col 58}{space 4}-84.79601{col 71}{space 3} 514.1107
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 7.368844{col 30}{space 2}  5.96336{col 41}{space 1}    1.24{col 50}{space 3}0.226{col 58}{space 4}-4.793509{col 71}{space 3}  19.5312
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .7418053{col 30}{space 2}  1.23462{col 41}{space 1}    0.60{col 50}{space 3}0.552{col 58}{space 4}-1.776219{col 71}{space 3}  3.25983
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-4.594606{col 30}{space 2} 3.006925{col 41}{space 1}   -1.53{col 50}{space 3}0.137{col 58}{space 4}-10.72727{col 71}{space 3} 1.538059
{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
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}1.2057242
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #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}    0.97
{txt}{col 55}Prob > F      = {res}  0.4804
{txt}Total (centered) SS     = {res} 73.62421611{txt}{col 55}Centered R2   = {res}  0.0164
{txt}Total (uncentered) SS   = {res} 73.62421611{txt}{col 55}Uncentered R2 = {res}  0.0164
{txt}Residual SS             = {res} 72.42019068{txt}{col 55}Root MSE      = {res}   .4172

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .0029166{col 30}{space 2} .0043033{col 41}{space 1}    0.68{col 50}{space 3}0.503{col 58}{space 4}-.0058601{col 71}{space 3} .0116933
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0057463{col 30}{space 2} .0054226{col 41}{space 1}    1.06{col 50}{space 3}0.297{col 58}{space 4}-.0053131{col 71}{space 3} .0168057
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0116352{col 30}{space 2} .0098095{col 41}{space 1}   -1.19{col 50}{space 3}0.245{col 58}{space 4}-.0316417{col 71}{space 3} .0083714
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.012716{col 30}{space 2} .0096172{col 41}{space 1}   -1.32{col 50}{space 3}0.196{col 58}{space 4}-.0323303{col 71}{space 3} .0068983
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-.1886873{col 30}{space 2} 105.5612{col 41}{space 1}   -0.00{col 50}{space 3}0.999{col 58}{space 4}-215.4821{col 71}{space 3} 215.1047
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-28.13338{col 30}{space 2} 77.05087{col 41}{space 1}   -0.37{col 50}{space 3}0.717{col 58}{space 4}-185.2797{col 71}{space 3} 129.0129
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-.0334592{col 30}{space 2}  1.05506{col 41}{space 1}   -0.03{col 50}{space 3}0.975{col 58}{space 4}-2.185269{col 71}{space 3} 2.118351
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .6640156{col 30}{space 2} .5857343{col 41}{space 1}    1.13{col 50}{space 3}0.266{col 58}{space 4}-.5305974{col 71}{space 3} 1.858629
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} .3767097{col 30}{space 2} 1.524075{col 41}{space 1}    0.25{col 50}{space 3}0.806{col 58}{space 4}-2.731663{col 71}{space 3} 3.485082
{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
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}.3129585
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{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}    4.34
{txt}{col 55}Prob > F      = {res}  0.0010
{txt}Total (centered) SS     = {res} 8862.597983{txt}{col 55}Centered R2   = {res}  0.0654
{txt}Total (uncentered) SS   = {res} 8862.597983{txt}{col 55}Uncentered R2 = {res}  0.0654
{txt}Residual SS             = {res} 8282.980768{txt}{col 55}Root MSE      = {res}   4.468

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .2682584{col 30}{space 2} .0995358{col 41}{space 1}    2.70{col 50}{space 3}0.011{col 58}{space 4} .0652539{col 71}{space 3}  .471263
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0219824{col 30}{space 2} .0849325{col 41}{space 1}    0.26{col 50}{space 3}0.797{col 58}{space 4}-.1512385{col 71}{space 3} .1952033
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.2988404{col 30}{space 2} .1882958{col 41}{space 1}   -1.59{col 50}{space 3}0.123{col 58}{space 4}-.6828722{col 71}{space 3} .0851914
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1498256{col 30}{space 2} .1189332{col 41}{space 1}   -1.26{col 50}{space 3}0.217{col 58}{space 4}-.3923915{col 71}{space 3} .0927402
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1303.168{col 30}{space 2}   1932.1{col 41}{space 1}    0.67{col 50}{space 3}0.505{col 58}{space 4}-2637.377{col 71}{space 3} 5243.713
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-974.7863{col 30}{space 2} 728.3129{col 41}{space 1}   -1.34{col 50}{space 3}0.190{col 58}{space 4} -2460.19{col 71}{space 3} 510.6176
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-14.99847{col 30}{space 2} 19.88819{col 41}{space 1}   -0.75{col 50}{space 3}0.456{col 58}{space 4}-55.56069{col 71}{space 3} 25.56376
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.989246{col 30}{space 2} 6.561808{col 41}{space 1}   -0.91{col 50}{space 3}0.368{col 58}{space 4}-19.37214{col 71}{space 3} 7.393649
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 21.37594{col 30}{space 2}  15.1278{col 41}{space 1}    1.41{col 50}{space 3}0.168{col 58}{space 4}-9.477407{col 71}{space 3} 52.22928
{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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}22.177668
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{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}    2.63
{txt}{col 55}Prob > F      = {res}  0.0217
{txt}Total (centered) SS     = {res} 7921.764391{txt}{col 55}Centered R2   = {res}  0.0309
{txt}Total (uncentered) SS   = {res} 7921.764391{txt}{col 55}Uncentered R2 = {res}  0.0309
{txt}Residual SS             = {res} 7676.930532{txt}{col 55}Root MSE      = {res}   4.301

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1717939{col 30}{space 2} .0835788{col 41}{space 1}    2.06{col 50}{space 3}0.048{col 58}{space 4} .0013338{col 71}{space 3}  .342254
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0052795{col 30}{space 2} .0795506{col 41}{space 1}    0.07{col 50}{space 3}0.948{col 58}{space 4} -.156965{col 71}{space 3} .1675241
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0586615{col 30}{space 2} .1542434{col 41}{space 1}   -0.38{col 50}{space 3}0.706{col 58}{space 4}-.3732429{col 71}{space 3} .2559199
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1624099{col 30}{space 2} .0928074{col 41}{space 1}   -1.75{col 50}{space 3}0.090{col 58}{space 4}-.3516917{col 71}{space 3}  .026872
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1609.983{col 30}{space 2} 1635.561{col 41}{space 1}   -0.98{col 50}{space 3}0.333{col 58}{space 4}-4945.731{col 71}{space 3} 1725.765
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-985.1831{col 30}{space 2} 787.4612{col 41}{space 1}   -1.25{col 50}{space 3}0.220{col 58}{space 4}-2591.221{col 71}{space 3} 620.8546
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 15.05368{col 30}{space 2} 16.50822{col 41}{space 1}    0.91{col 50}{space 3}0.369{col 58}{space 4}-18.61506{col 71}{space 3} 48.72243
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 5.042436{col 30}{space 2}  6.67115{col 41}{space 1}    0.76{col 50}{space 3}0.455{col 58}{space 4}-8.563464{col 71}{space 3} 18.64834
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 18.48808{col 30}{space 2} 15.99148{col 41}{space 1}    1.16{col 50}{space 3}0.256{col 58}{space 4}-14.12677{col 71}{space 3} 51.10292
{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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}22.249573
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{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}    2.32
{txt}{col 55}Prob > F      = {res}  0.0398
{txt}Total (centered) SS     = {res} 5514.142028{txt}{col 55}Centered R2   = {res}  0.0328
{txt}Total (uncentered) SS   = {res} 5514.142028{txt}{col 55}Uncentered R2 = {res}  0.0328
{txt}Residual SS             = {res} 5333.442608{txt}{col 55}Root MSE      = {res}   3.585

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .0119584{col 30}{space 2} .0500333{col 41}{space 1}    0.24{col 50}{space 3}0.813{col 58}{space 4}-.0900852{col 71}{space 3}  .114002
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .047735{col 30}{space 2}  .061229{col 41}{space 1}    0.78{col 50}{space 3}0.442{col 58}{space 4}-.0771424{col 71}{space 3} .1726124
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0215752{col 30}{space 2} .1006624{col 41}{space 1}   -0.21{col 50}{space 3}0.832{col 58}{space 4}-.2268776{col 71}{space 3} .1837272
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0321173{col 30}{space 2} .0788326{col 41}{space 1}   -0.41{col 50}{space 3}0.687{col 58}{space 4}-.1928975{col 71}{space 3} .1286629
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2293.617{col 30}{space 2}  1119.61{col 41}{space 1}   -2.05{col 50}{space 3}0.049{col 58}{space 4}-4577.077{col 71}{space 3}-10.15641
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -1308.33{col 30}{space 2} 475.6294{col 41}{space 1}   -2.75{col 50}{space 3}0.010{col 58}{space 4}-2278.383{col 71}{space 3}-338.2774
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 21.54654{col 30}{space 2} 11.24788{col 41}{space 1}    1.92{col 50}{space 3}0.065{col 58}{space 4}-1.393674{col 71}{space 3} 44.48675
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}  -1.1811{col 30}{space 2} 4.375866{col 41}{space 1}   -0.27{col 50}{space 3}0.789{col 58}{space 4}-10.10574{col 71}{space 3} 7.743536
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 26.99372{col 30}{space 2} 9.408134{col 41}{space 1}    2.87{col 50}{space 3}0.007{col 58}{space 4} 7.805707{col 71}{space 3} 46.18174
{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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}14.88564
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{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}    2.63
{txt}{col 55}Prob > F      = {res}  0.0217
{txt}Total (centered) SS     = {res} 7587.892197{txt}{col 55}Centered R2   = {res}  0.0299
{txt}Total (uncentered) SS   = {res} 7587.892197{txt}{col 55}Uncentered R2 = {res}  0.0299
{txt}Residual SS             = {res} 7360.871612{txt}{col 55}Root MSE      = {res}   4.212

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .0526297{col 30}{space 2} .0766899{col 41}{space 1}    0.69{col 50}{space 3}0.498{col 58}{space 4}-.1037804{col 71}{space 3} .2090398
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0371121{col 30}{space 2} .0505517{col 41}{space 1}    0.73{col 50}{space 3}0.468{col 58}{space 4}-.0659887{col 71}{space 3} .1402129
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0454297{col 30}{space 2} .1761485{col 41}{space 1}   -0.26{col 50}{space 3}0.798{col 58}{space 4}-.4046869{col 71}{space 3} .3138276
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0637328{col 30}{space 2} .1031496{col 41}{space 1}    0.62{col 50}{space 3}0.541{col 58}{space 4}-.1466422{col 71}{space 3} .2741079
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3234.151{col 30}{space 2}   1026.1{col 41}{space 1}   -3.15{col 50}{space 3}0.004{col 58}{space 4}-5326.895{col 71}{space 3}-1141.407
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1540.776{col 30}{space 2} 639.1483{col 41}{space 1}   -2.41{col 50}{space 3}0.022{col 58}{space 4}-2844.328{col 71}{space 3}-237.2246
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 30.85342{col 30}{space 2}  10.5292{col 41}{space 1}    2.93{col 50}{space 3}0.006{col 58}{space 4} 9.378967{col 71}{space 3} 52.32787
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.632489{col 30}{space 2} 5.241931{col 41}{space 1}   -0.31{col 50}{space 3}0.758{col 58}{space 4}-12.32348{col 71}{space 3} 9.058498
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 31.91547{col 30}{space 2} 13.23116{col 41}{space 1}    2.41{col 50}{space 3}0.022{col 58}{space 4} 4.930338{col 71}{space 3}  58.9006
{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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}23.237011
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{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}    2.96
{txt}{col 55}Prob > F      = {res}  0.0117
{txt}Total (centered) SS     = {res} 9083.430189{txt}{col 55}Centered R2   = {res}  0.0438
{txt}Total (uncentered) SS   = {res} 9083.430189{txt}{col 55}Uncentered R2 = {res}  0.0438
{txt}Residual SS             = {res} 8685.998217{txt}{col 55}Root MSE      = {res}   4.575

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .0211276{col 30}{space 2} .0859851{col 41}{space 1}    0.25{col 50}{space 3}0.808{col 58}{space 4}-.1542402{col 71}{space 3} .1964954
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1131007{col 30}{space 2} .0613777{col 41}{space 1}    1.84{col 50}{space 3}0.075{col 58}{space 4}-.0120798{col 71}{space 3} .2382813
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0379257{col 30}{space 2} .1318857{col 41}{space 1}   -0.29{col 50}{space 3}0.776{col 58}{space 4}-.3069083{col 71}{space 3} .2310569
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .1218127{col 30}{space 2} .1191116{col 41}{space 1}    1.02{col 50}{space 3}0.314{col 58}{space 4}-.1211171{col 71}{space 3} .3647425
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-477.1062{col 30}{space 2}   2086.2{col 41}{space 1}   -0.23{col 50}{space 3}0.821{col 58}{space 4} -4731.94{col 71}{space 3} 3777.728
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-884.7662{col 30}{space 2} 906.1014{col 41}{space 1}   -0.98{col 50}{space 3}0.336{col 58}{space 4}-2732.772{col 71}{space 3} 963.2398
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 3.730076{col 30}{space 2} 21.03906{col 41}{space 1}    0.18{col 50}{space 3}0.860{col 58}{space 4}-39.17936{col 71}{space 3} 46.63951
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.154984{col 30}{space 2}  4.28997{col 41}{space 1}    0.27{col 50}{space 3}0.790{col 58}{space 4}-7.594468{col 71}{space 3} 9.904436
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 17.66658{col 30}{space 2} 18.58385{col 41}{space 1}    0.95{col 50}{space 3}0.349{col 58}{space 4}-20.23542{col 71}{space 3} 55.56859
{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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(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_e_1908_1927 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect pop_jew water) partial($sigma $w) //
{txt}  4{com}.                 
.         estimates store P`year'T1_ABST, title(`year'R1)
{txt}  5{com}.         qui sum perc_bna_ins if e(sample)
{txt}  6{com}.         scalar mean_y=r(mean)
{txt}  7{com}.         estadd scalar mean_y
{txt}  8{com}.         
. {c )-}

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1965 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #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}    8.93
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 11796.59426{txt}{col 55}Centered R2   = {res}  0.0735
{txt}Total (uncentered) SS   = {res} 11796.59426{txt}{col 55}Uncentered R2 = {res}  0.0735
{txt}Residual SS             = {res}  10929.0643{txt}{col 55}Root MSE      = {res}   5.126

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}  .248091{col 30}{space 2} .0782154{col 41}{space 1}    3.17{col 50}{space 3}0.003{col 58}{space 4} .0885697{col 71}{space 3} .4076123
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1930336{col 30}{space 2} .0784122{col 41}{space 1}   -2.46{col 50}{space 3}0.020{col 58}{space 4}-.3529563{col 71}{space 3}-.0331108
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0620491{col 30}{space 2} .1780719{col 41}{space 1}   -0.35{col 50}{space 3}0.730{col 58}{space 4}-.4252291{col 71}{space 3} .3011309
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.5961901{col 30}{space 2} .1704446{col 41}{space 1}   -3.50{col 50}{space 3}0.001{col 58}{space 4}-.9438141{col 71}{space 3}-.2485661
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 166.5196{col 30}{space 2} 2842.056{col 41}{space 1}    0.06{col 50}{space 3}0.954{col 58}{space 4}-5629.892{col 71}{space 3} 5962.931
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 1132.007{col 30}{space 2} 870.9466{col 41}{space 1}    1.30{col 50}{space 3}0.203{col 58}{space 4}-644.3006{col 71}{space 3} 2908.314
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-.0026689{col 30}{space 2} 28.36693{col 41}{space 1}   -0.00{col 50}{space 3}1.000{col 58}{space 4} -57.8574{col 71}{space 3} 57.85206
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-2.845597{col 30}{space 2} 6.573363{col 41}{space 1}   -0.43{col 50}{space 3}0.668{col 58}{space 4}-16.25206{col 71}{space 3} 10.56086
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-22.38482{col 30}{space 2} 17.18938{col 41}{space 1}   -1.30{col 50}{space 3}0.202{col 58}{space 4}-57.44279{col 71}{space 3} 12.67315
{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
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}15.28727

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1969 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #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}    4.29
{txt}{col 55}Prob > F      = {res}  0.0011
{txt}Total (centered) SS     = {res} 18676.55415{txt}{col 55}Centered R2   = {res}  0.0657
{txt}Total (uncentered) SS   = {res} 18676.55415{txt}{col 55}Uncentered R2 = {res}  0.0657
{txt}Residual SS             = {res}  17449.1373{txt}{col 55}Root MSE      = {res}   6.476

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .3708964{col 30}{space 2} .1278447{col 41}{space 1}    2.90{col 50}{space 3}0.007{col 58}{space 4} .1101554{col 71}{space 3} .6316375
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1494629{col 30}{space 2} .1050645{col 41}{space 1}   -1.42{col 50}{space 3}0.165{col 58}{space 4}-.3637433{col 71}{space 3} .0648174
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1671678{col 30}{space 2}  .191969{col 41}{space 1}   -0.87{col 50}{space 3}0.391{col 58}{space 4}-.5586912{col 71}{space 3} .2243557
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.6525997{col 30}{space 2} .2142581{col 41}{space 1}   -3.05{col 50}{space 3}0.005{col 58}{space 4}-1.089582{col 71}{space 3}-.2156174
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1005.968{col 30}{space 2} 2733.384{col 41}{space 1}    0.37{col 50}{space 3}0.715{col 58}{space 4}-4568.805{col 71}{space 3}  6580.74
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 645.3417{col 30}{space 2} 960.6357{col 41}{space 1}    0.67{col 50}{space 3}0.507{col 58}{space 4}-1313.888{col 71}{space 3} 2604.571
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} -9.39413{col 30}{space 2} 27.86158{col 41}{space 1}   -0.34{col 50}{space 3}0.738{col 58}{space 4}-66.21819{col 71}{space 3} 47.42993
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-8.866214{col 30}{space 2} 8.245048{col 41}{space 1}   -1.08{col 50}{space 3}0.291{col 58}{space 4} -25.6821{col 71}{space 3} 7.949672
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-10.79327{col 30}{space 2} 18.98266{col 41}{space 1}   -0.57{col 50}{space 3}0.574{col 58}{space 4}-49.50866{col 71}{space 3} 27.92211
{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
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}23.6278

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1974 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}note: {res}variable #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}    3.53
{txt}{col 55}Prob > F      = {res}  0.0041
{txt}Total (centered) SS     = {res} 8937.800927{txt}{col 55}Centered R2   = {res}  0.0310
{txt}Total (uncentered) SS   = {res} 8937.800927{txt}{col 55}Uncentered R2 = {res}  0.0310
{txt}Residual SS             = {res} 8660.389918{txt}{col 55}Root MSE      = {res}   4.563

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .2009494{col 30}{space 2} .0801296{col 41}{space 1}    2.51{col 50}{space 3}0.018{col 58}{space 4} .0375239{col 71}{space 3} .3643748
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0532808{col 30}{space 2} .0902039{col 41}{space 1}   -0.59{col 50}{space 3}0.559{col 58}{space 4}-.2372528{col 71}{space 3} .1306912
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1952386{col 30}{space 2} .1343515{col 41}{space 1}   -1.45{col 50}{space 3}0.156{col 58}{space 4}-.4692504{col 71}{space 3} .0787731
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2106213{col 30}{space 2} .1304101{col 41}{space 1}   -1.62{col 50}{space 3}0.116{col 58}{space 4}-.4765944{col 71}{space 3} .0553519
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-322.6033{col 30}{space 2} 1317.655{col 41}{space 1}   -0.24{col 50}{space 3}0.808{col 58}{space 4}-3009.978{col 71}{space 3} 2364.772
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1066.094{col 30}{space 2}  491.986{col 41}{space 1}   -2.17{col 50}{space 3}0.038{col 58}{space 4}-2069.506{col 71}{space 3}-62.68149
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 1.655536{col 30}{space 2} 13.43777{col 41}{space 1}    0.12{col 50}{space 3}0.903{col 58}{space 4}-25.75097{col 71}{space 3} 29.06204
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.844769{col 30}{space 2} 4.662575{col 41}{space 1}   -1.25{col 50}{space 3}0.219{col 58}{space 4}-15.35415{col 71}{space 3} 3.664615
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 23.48318{col 30}{space 2} 9.878856{col 41}{space 1}    2.38{col 50}{space 3}0.024{col 58}{space 4} 3.335118{col 71}{space 3} 43.63124
{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
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}17.065947

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1995 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{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}    1.19
{txt}{col 55}Prob > F      = {res}  0.3366
{txt}Total (centered) SS     = {res} 6008.066893{txt}{col 55}Centered R2   = {res}  0.0136
{txt}Total (uncentered) SS   = {res} 6008.066893{txt}{col 55}Uncentered R2 = {res}  0.0136
{txt}Residual SS             = {res} 5926.320226{txt}{col 55}Root MSE      = {res}   3.779

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}-.0362442{col 30}{space 2} .0541839{col 41}{space 1}   -0.67{col 50}{space 3}0.509{col 58}{space 4} -.146753{col 71}{space 3} .0742645
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0732878{col 30}{space 2} .0631554{col 41}{space 1}    1.16{col 50}{space 3}0.255{col 58}{space 4}-.0555185{col 71}{space 3}  .202094
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0336718{col 30}{space 2} .1343963{col 41}{space 1}    0.25{col 50}{space 3}0.804{col 58}{space 4}-.2404312{col 71}{space 3} .3077748
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0803523{col 30}{space 2} .0759378{col 41}{space 1}   -1.06{col 50}{space 3}0.298{col 58}{space 4}-.2352286{col 71}{space 3} .0745239
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2406.342{col 30}{space 2} 2121.544{col 41}{space 1}   -1.13{col 50}{space 3}0.265{col 58}{space 4}-6733.259{col 71}{space 3} 1920.576
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-295.3255{col 30}{space 2} 588.8333{col 41}{space 1}   -0.50{col 50}{space 3}0.620{col 58}{space 4}-1496.259{col 71}{space 3}  905.608
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 24.31164{col 30}{space 2} 21.29471{col 41}{space 1}    1.14{col 50}{space 3}0.262{col 58}{space 4} -19.1192{col 71}{space 3} 67.74248
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 2.232096{col 30}{space 2} 3.653827{col 41}{space 1}    0.61{col 50}{space 3}0.546{col 58}{space 4}-5.219932{col 71}{space 3} 9.684125
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 5.445004{col 30}{space 2} 11.91603{col 41}{space 1}    0.46{col 50}{space 3}0.651{col 58}{space 4} -18.8579{col 71}{space 3} 29.74791
{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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}19.787649

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2002 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{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}    2.60
{txt}{col 55}Prob > F      = {res}  0.0233
{txt}Total (centered) SS     = {res} 8951.441339{txt}{col 55}Centered R2   = {res}  0.0419
{txt}Total (uncentered) SS   = {res} 8951.441339{txt}{col 55}Uncentered R2 = {res}  0.0419
{txt}Residual SS             = {res} 8576.490111{txt}{col 55}Root MSE      = {res}   4.546

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}-.1774364{col 30}{space 2}  .070729{col 41}{space 1}   -2.51{col 50}{space 3}0.018{col 58}{space 4}-.3216891{col 71}{space 3}-.0331837
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0538035{col 30}{space 2} .0975478{col 41}{space 1}    0.55{col 50}{space 3}0.585{col 58}{space 4}-.1451466{col 71}{space 3} .2527536
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  .127095{col 30}{space 2} .1031059{col 41}{space 1}    1.23{col 50}{space 3}0.227{col 58}{space 4}-.0831909{col 71}{space 3} .3373809
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .1125412{col 30}{space 2} .1073809{col 41}{space 1}    1.05{col 50}{space 3}0.303{col 58}{space 4}-.1064635{col 71}{space 3}  .331546
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-634.2577{col 30}{space 2} 1807.034{col 41}{space 1}   -0.35{col 50}{space 3}0.728{col 58}{space 4}-4319.728{col 71}{space 3} 3051.212
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1416.756{col 30}{space 2} 745.5852{col 41}{space 1}   -1.90{col 50}{space 3}0.067{col 58}{space 4}-2937.387{col 71}{space 3} 103.8755
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 4.417388{col 30}{space 2} 18.67601{col 41}{space 1}    0.24{col 50}{space 3}0.815{col 58}{space 4}-33.67258{col 71}{space 3} 42.50736
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-1.348477{col 30}{space 2} 4.470527{col 41}{space 1}   -0.30{col 50}{space 3}0.765{col 58}{space 4}-10.46618{col 71}{space 3} 7.769222
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 29.41471{col 30}{space 2} 15.28406{col 41}{space 1}    1.92{col 50}{space 3}0.064{col 58}{space 4}-1.757335{col 71}{space 3} 60.58675
{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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}28.387391

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2007 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{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}    2.00
{txt}{col 55}Prob > F      = {res}  0.0737
{txt}Total (centered) SS     = {res} 4170.341767{txt}{col 55}Centered R2   = {res}  0.0212
{txt}Total (uncentered) SS   = {res} 4170.341767{txt}{col 55}Uncentered R2 = {res}  0.0212
{txt}Residual SS             = {res} 4081.875535{txt}{col 55}Root MSE      = {res}   3.136

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .1010078{col 30}{space 2} .0362861{col 41}{space 1}    2.78{col 50}{space 3}0.009{col 58}{space 4} .0270019{col 71}{space 3} .1750137
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0063138{col 30}{space 2} .0674487{col 41}{space 1}   -0.09{col 50}{space 3}0.926{col 58}{space 4}-.1438764{col 71}{space 3} .1312488
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1006709{col 30}{space 2} .0738247{col 41}{space 1}   -1.36{col 50}{space 3}0.182{col 58}{space 4}-.2512373{col 71}{space 3} .0498955
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0929971{col 30}{space 2} .0736384{col 41}{space 1}   -1.26{col 50}{space 3}0.216{col 58}{space 4}-.2431837{col 71}{space 3} .0571895
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-958.5502{col 30}{space 2} 1398.467{col 41}{space 1}   -0.69{col 50}{space 3}0.498{col 58}{space 4}-3810.742{col 71}{space 3} 1893.641
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-692.2326{col 30}{space 2} 392.7793{col 41}{space 1}   -1.76{col 50}{space 3}0.088{col 58}{space 4}-1493.311{col 71}{space 3} 108.8461
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 8.993543{col 30}{space 2} 14.15934{col 41}{space 1}    0.64{col 50}{space 3}0.530{col 58}{space 4}-19.88463{col 71}{space 3} 37.87172
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 8.308523{col 30}{space 2} 3.082287{col 41}{space 1}    2.70{col 50}{space 3}0.011{col 58}{space 4} 2.022158{col 71}{space 3} 14.59489
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 11.69774{col 30}{space 2} 7.635685{col 41}{space 1}    1.53{col 50}{space 3}0.136{col 58}{space 4}-3.875347{col 71}{space 3} 27.27082
{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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}16.72891

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2012 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{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}    2.56
{txt}{col 55}Prob > F      = {res}  0.0248
{txt}Total (centered) SS     = {res} 5094.179372{txt}{col 55}Centered R2   = {res}  0.0156
{txt}Total (uncentered) SS   = {res} 5094.179372{txt}{col 55}Uncentered R2 = {res}  0.0156
{txt}Residual SS             = {res} 5014.593281{txt}{col 55}Root MSE      = {res}   3.476

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .0444132{col 30}{space 2} .0632976{col 41}{space 1}    0.70{col 50}{space 3}0.488{col 58}{space 4}-.0846832{col 71}{space 3} .1735095
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} -.003247{col 30}{space 2}   .08557{col 41}{space 1}   -0.04{col 50}{space 3}0.970{col 58}{space 4}-.1777682{col 71}{space 3} .1712742
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0903481{col 30}{space 2} .1089717{col 41}{space 1}   -0.83{col 50}{space 3}0.413{col 58}{space 4}-.3125974{col 71}{space 3} .1319012
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.060699{col 30}{space 2} .0967997{col 41}{space 1}   -0.63{col 50}{space 3}0.535{col 58}{space 4}-.2581233{col 71}{space 3} .1367253
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-68.11684{col 30}{space 2} 881.7729{col 41}{space 1}   -0.08{col 50}{space 3}0.939{col 58}{space 4}-1866.505{col 71}{space 3} 1730.271
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1004.836{col 30}{space 2} 396.9397{col 41}{space 1}   -2.53{col 50}{space 3}0.017{col 58}{space 4}  -1814.4{col 71}{space 3}-195.2725
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-.7164942{col 30}{space 2} 8.945214{col 41}{space 1}   -0.08{col 50}{space 3}0.937{col 58}{space 4}-18.96038{col 71}{space 3} 17.52739
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 3.745947{col 30}{space 2} 4.012034{col 41}{space 1}    0.93{col 50}{space 3}0.358{col 58}{space 4} -4.43665{col 71}{space 3} 11.92854
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 19.38294{col 30}{space 2} 7.942744{col 41}{space 1}    2.44{col 50}{space 3}0.021{col 58}{space 4} 3.183608{col 71}{space 3} 35.58227
{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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}19.41339

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2017 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}(warning: absorbing 11 dimensions of fixed effects; check that you really want that)
{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}    2.02
{txt}{col 55}Prob > F      = {res}  0.0704
{txt}Total (centered) SS     = {res}  6125.33048{txt}{col 55}Centered R2   = {res}  0.0343
{txt}Total (uncentered) SS   = {res}  6125.33048{txt}{col 55}Uncentered R2 = {res}  0.0343
{txt}Residual SS             = {res} 5915.092124{txt}{col 55}Root MSE      = {res}   3.775

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2} .0791063{col 30}{space 2} .0507824{col 41}{space 1}    1.56{col 50}{space 3}0.129{col 58}{space 4}-.0244651{col 71}{space 3} .1826776
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1117941{col 30}{space 2} .0608453{col 41}{space 1}   -1.84{col 50}{space 3}0.076{col 58}{space 4} -.235889{col 71}{space 3} .0123008
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  .002435{col 30}{space 2} .0895025{col 41}{space 1}    0.03{col 50}{space 3}0.978{col 58}{space 4}-.1801066{col 71}{space 3} .1849765
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1650445{col 30}{space 2} .1263134{col 41}{space 1}   -1.31{col 50}{space 3}0.201{col 58}{space 4}-.4226623{col 71}{space 3} .0925734
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1909.865{col 30}{space 2}  1632.52{col 41}{space 1}   -1.17{col 50}{space 3}0.251{col 58}{space 4}-5239.411{col 71}{space 3}  1419.68
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-783.3582{col 30}{space 2} 520.0685{col 41}{space 1}   -1.51{col 50}{space 3}0.142{col 58}{space 4}-1844.045{col 71}{space 3} 277.3285
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}  18.5624{col 30}{space 2} 16.44953{col 41}{space 1}    1.13{col 50}{space 3}0.268{col 58}{space 4}-14.98664{col 71}{space 3} 52.11145
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 6.095733{col 30}{space 2} 3.269227{col 41}{space 1}    1.86{col 50}{space 3}0.072{col 58}{space 4}-.5718997{col 71}{space 3} 12.76336
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 14.08216{col 30}{space 2} 10.28743{col 41}{space 1}    1.37{col 50}{space 3}0.181{col 58}{space 4}-6.899187{col 71}{space 3}  35.0635
{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
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}     pop_jew{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}       water{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}20.639399
{txt}
{com}. 
. ******************************
. ***** 2. TABLE FOR PAPER *****
. ******************************
. 
. // Fixed effects
. 
. estfe . P*, labels(dialect_lux "Historical dialects")
{res}{txt}
{com}. return list

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

{com}. 
. // Labels
. 
. la var perc_e_1908_1927         "\\ Eligible births (\%)"
{txt}
{com}. la var perc_b_1903_1912         "[0.3em] Born 1903-1912 (\%)"
{txt}
{com}. la var perc_b_1913_1922         "[0.3em] Born 1913-1922 (\%)"
{txt}
{com}. la var perc_b_1923_1932         "[0.3em] Born 1923-1932 (\%)"
{txt}
{com}. 
. // Radical right
. 
. estout P1965T1_VOTE P1969T1_VOTE P1974T1_VOTE P1995T1_VOTE P2002T1_VOTE P2007T1_VOTE P2012T1_VOTE P2017T1_VOTE ///
>         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(Abstention and the radical right-wing vote: Reduced-form estimates) ///
>         prehead( ///
>         "\begin{c -(}table{c )-}[t!]" ///
>         "\begin{c -(}center{c )-}" ///
>         "\begin{c -(}threeparttable{c )-}" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\caption{c -(}@title\label{c -(}$program{c )-}{c )-}" ///
>         "\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}@M{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}" ///
>         "\hline" "\hline" ///
>         "&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\" ///   
>         "       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\" ///
>         "\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}" ///
>         "\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\" ///
>         "%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: Reduced-Form Estimates. Dep. Variable: Radical right-wing (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
\begin{c -(}table{c )-}[t!]
\begin{c -(}center{c )-}
\begin{c -(}threeparttable{c )-}
\begin{c -(}scriptsize{c )-}
\caption{c -(}Abstention and the radical right-wing vote: Reduced-form estimates\label{c -(}EEREV-D-21-00004_Table4{c )-}{c )-}
\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}8{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}
\hline
\hline
&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\
       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\
\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: Reduced-Form Estimates. Dep. Variable: Radical right-wing (\% of registered){c )-}\\
\hline
\\ Eligible births (\%)&     --0.016   &               &       0.003   &       0.268** &       0.172** &       0.012   &       0.053   &       0.021   \\
                    &     (0.028)   &               &     (0.004)   &     (0.100)   &     (0.084)   &     (0.050)   &     (0.077)   &     (0.086)   \\

\\ 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_Table4.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 ///
>         stats(mean_y, lab("\\ Mean dep. variable") fmt(2)) ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_e_1908_1927) ///
>         order(perc_e_1908_1927) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: Reduced-Form Estimates. Dep. Variable: Abstention (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: Reduced-Form Estimates. Dep. Variable: Abstention (\% of registered){c )-}\\
\hline
\\ Eligible births (\%)&       0.248***&       0.371***&       0.201** &     --0.036   &     --0.177** &       0.101***&       0.044   &       0.079   \\
                    &     (0.078)   &     (0.128)   &     (0.080)   &     (0.054)   &     (0.071)   &     (0.036)   &     (0.063)   &     (0.051)   \\

\\ 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_Table4.tex"'})

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

Border segment FE   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Historical dialect FE &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Full set of controls &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
\hline
Observations        &         462   &         462   &         462   &         462   &         462   &         462   &         462   &         462   \\
Clusters            &          32   &          32   &          32   &          32   &          32   &          32   &          32   &          32   \\
\hline
\hline
\end{c -(}tabular*{c )-}
\end{c -(}scriptsize{c )-}
\begin{c -(}tablenotes{c )-}[normal,flushleft]
\begin{c -(}scriptsize{c )-}
\item \emph{c -(}Notes{c )-}:
Reduced-form estimates of the effect of conscription eligibility on support for radical right-wing candidates and on abstention. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panel A: Reduced-form estimates with radical right-wing vote as the outcome; 
Panel B: Reduced-form estimates with abstention as the outcome. 
All specifications include a quadratic polynomial in latitude and longitude ($ x+y+x^2+y^2+xy $). 
* 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_Table4.tex"'})

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