--------------------------------------------------------------------------------------------------------------------------------------------------------------------- name: log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table4a_4b.log log type: text opened on: 11 May 2021, 23:47:11 . . . use "$AnalysisData/bills_analysis_101-111_replication.dta" (Bill-level data set. Each observation is an individual bill.) . keep if private==0 (1,546 observations deleted) . . gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. (1,036 missing values generated) . . gen byte sponsor_NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. (1,015 missing values generated) . gen byte sponsor_MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. (1,015 missing values generated) . gen byte sponsor_SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. (1,015 missing values generated) . gen byte sponsor_WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. (1,015 missing values generated) . . replace sponsor_age=. if sponsor_age>100 (0 real changes made) . gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. (1,015 missing values generated) . gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. (1,015 missing values generated) . . gen lnpden=lnpop-lnarea (1,015 missing values generated) . gen absMV=abs(MV1_democrat) (6,677 missing values generated) . . compress variable sponsor_rookie was float now byte (187,047 bytes saved) . . egen tag_bill = tag(v2 HRnumber) . egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) . egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) (1,015 missing values generated) . . gen int decade = 1980 if v2<=102 (50,563 missing values generated) . replace decade=1990 if v2>=103 & v2<=107 (25,238 real changes made) . replace decade=2000 if v2>=108 (25,325 real changes made) . . egen district_id = group(decade sponsor_state_abbrev sponsor_district) (1,015 missing values generated) . . . ** Balance tests . . label var sponsor_NE "North-East" . label var sponsor_MW "Mid-West" . label var sponsor_SO "South" . label var sponsor_WE "West" . replace pct_black=pct_black*100 (61,334 real changes made) . label var pct_black "% Black" . replace pct_urban=pct_urban*100 (61,020 real changes made) . label var pct_urban "% Urban" . replace pct_for_born=pct_for_born*100 (61,334 real changes made) . label var pct_for_born "% Foreign" . replace pct_age_over65=pct_age_over65*100 (61,334 real changes made) . label var pct_age_over65 "% Over-65" . label var lnpden "Ln Pop. Density" . label var lag_demshare1 "Democratic t-1" . label var DSpndPct "% Camp. Exp. D/R" . label var sponsor_female "Female candidate" . . replace sponsor_age=. if sponsor_age>100 (0 real changes made) . sort tag_sponsor sponsor_state_abbrev sponsor_district v2 . bysort tag_sponsor sponsor_state_abbrev sponsor_district: gen inc=sponsor_name[_n-1]==sponsor_name if sponsor_name!="" & sponsor_name[_n-1]!="" & tag_sponsor==1 (58,025 missing values generated) . bysort sponsor_state_abbrev sponsor_district v2 sponsor_name: egen sponsor_incumbent=max(inc) (7,016 missing values generated) . replace sponsor_incumbent=. if v2==103 | v2==108 (9,949 real changes made, 9,949 to missing) . drop inc . . label var sponsor_age "Age" . label var sponsor_tenure_run "Terms in office" . label var sponsor_rookie "Rookie" . label var sponsor_incumbent "Incumbent" . label var sponsor_democrat "Democrat" . label var comc "Chair committee" . label var comr "Rank committee" . label var leader "Chair/Rank committee" . label var dwnom1 "DW-nominate" . label var borninstate "Born in State" . label var agestart "Entry age" . label var anycoll "Any college" . label var ivycoll "Ivy-league college" . label var occ0 "No occupation" . label var occ1 "Education" . label var occ2 "Lawyer" . label var occ3 "Professional" . label var occ4 "Business" . label var occ5 "Agriculture" . label var occ6 "Other" . label var black "Black" . . local if1 = "if tag_sponsor==1" . local if2 = "if tag_sponsor==1 & sponsor_party==100" . local if3 = "if tag_sponsor==1 & sponsor_party==200" . local Party1 = "ALL" . local Party2 = "D" . local Party3 = "R" . . forvalues j = 1/3 { 2. foreach var of varlist sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden lag_demshare1 DSpndPct /* > */ absMV sponsor_democrat sponsor_tenure_run sponsor_rookie sponsor_age leader borninstate ivycoll occ0 occ1 occ2 occ3 occ4 occ6 black { 3. local ct: var label `var' 4. sum `var' `if`j'' & sponsor_female==1 5. scalar S1_`var' = r(sd) 6. . sum `var' `if`j'' & sponsor_female==0 7. scalar S0_`var' = r(sd) 8. . rdbwselect_2014 `var' MV1_female `if`j'', c(0) kernel(uniform) 9. local band = e(h_CCT) 10. . forvalues i=1/5 { 11. if `i'==1 { 12. * 1) OLS balancing: simple diff. in means . reg `var' sponsor_female `if`j'', robust cluster(group_sponsor) 13. scalar b_`var'_`j'_`i' = _b[sponsor_female] 14. scalar se_`var'_`j'_`i' = _se[sponsor_female] 15. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' 16. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) 17. } 18. else if `i'==2 { 19. * 2) RD: optimal bandwidth . reg `var' sponsor_female MV1_female femaleXMV1_female `if`j'' & abs(MV1_female)<=`band', robust cluster(group_sponsor) 20. scalar b_`var'_`j'_`i' = _b[sponsor_female] 21. scalar se_`var'_`j'_`i' = _se[sponsor_female] 22. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' 23. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) 24. } 25. else if `i'==3 { 26. * 3) RD + Pscore matching: pscore=f(district) . qui probit sponsor_female i.v2 sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden `if`j'' > & abs(MV1_female)<=`band' 27. predict pscore if e(sample)==1 28. gen wt = 1/pscore if sponsor_female==1 29. replace wt =1/(1-pscore) if sponsor_female==0 30. reg `var' sponsor_female MV1_female femaleXMV1_female [aw=wt] `if`j'' & abs(MV1_female)<=`band', robust cluster(group_sponsor) 31. scalar b_`var'_`j'_`i' = _b[sponsor_female] 32. scalar se_`var'_`j'_`i' = _se[sponsor_female] 33. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' 34. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) 35. drop pscore wt 36. } 37. else if `i'==4 { 38. * 4) Pscore matching: pscore=f(district, absMV), sample=all . qui probit sponsor_female i.v2 sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden absMV ` > if`j'' 39. predict pscore if e(sample)==1 40. gen wt = 1/pscore if sponsor_female==1 41. replace wt =1/(1-pscore) if sponsor_female==0 42. reg `var' sponsor_female [aw=wt] `if`j'', robust cluster(group_sponsor) 43. scalar b_`var'_`j'_`i' = _b[sponsor_female] 44. scalar se_`var'_`j'_`i' = _se[sponsor_female] 45. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' 46. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) 47. drop pscore wt 48. } 49. } 50. } 51. } Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_NE | 590 .1847458 .3884205 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_NE | 4,201 .2059034 .4044083 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 16.97306 30.09204 .5640383 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 1.52 Prob > F = 0.2175 R-squared = 0.0003 Root MSE = .40248 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0211576 .0171558 -1.23 0.218 -.0547909 .0124758 _cons | .2059034 .00624 33.00 0.000 .1936701 .2181366 -------------------------------------------------------------------------------- Linear regression Number of obs = 267 F(3, 266) = 1.40 Prob > F = 0.2436 R-squared = 0.0119 Root MSE = .40506 (Std. Err. adjusted for 267 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0014856 .1009649 -0.01 0.988 -.2002778 .1973065 MV1_female | -.0011695 .0063069 -0.19 0.853 -.0135873 .0112484 femaleXMV1_female | -.0063974 .0094864 -0.67 0.501 -.0250754 .0122806 _cons | .22432 .0656387 3.42 0.001 .0950824 .3535575 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,082 missing values generated) (62,248 missing values generated) (166 real changes made) (sum of wgt is 529.9520304203033) Linear regression Number of obs = 267 F(3, 266) = 0.76 Prob > F = 0.5196 R-squared = 0.0120 Root MSE = .40671 (Std. Err. adjusted for 267 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .1277092 .1157146 1.10 0.271 -.100124 .3555423 MV1_female | -.0017603 .0058784 -0.30 0.765 -.0133345 .0098138 femaleXMV1_female | -.0107324 .0104399 -1.03 0.305 -.0312877 .009823 _cons | .1889607 .0601343 3.14 0.002 .070561 .3073605 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 0.59 Prob > F = 0.4431 R-squared = 0.0006 Root MSE = .39904 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0194356 .0253376 0.77 0.443 -.0302388 .06911 _cons | .1890386 .0062934 30.04 0.000 .1767005 .2013768 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_MW | 590 .2118644 .408976 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_MW | 4,201 .2435134 .4292534 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 19.80159 34.41667 .5753488 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 3.06 Prob > F = 0.0801 R-squared = 0.0006 Root MSE = .42681 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.031649 .0180831 -1.75 0.080 -.0671003 .0038022 _cons | .2435134 .0066233 36.77 0.000 .2305287 .2564982 -------------------------------------------------------------------------------- Linear regression Number of obs = 312 F(3, 311) = 2.14 Prob > F = 0.0949 R-squared = 0.0188 Root MSE = .42208 (Std. Err. adjusted for 312 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.1294546 .0966262 -1.34 0.181 -.3195784 .0606692 MV1_female | .0022571 .005415 0.42 0.677 -.0083975 .0129118 femaleXMV1_female | -.0034109 .0081716 -0.42 0.677 -.0194894 .0126677 _cons | .3019173 .0660566 4.57 0.000 .1719428 .4318917 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,037 missing values generated) (62,231 missing values generated) (194 real changes made) (sum of wgt is 621.3812042474747) Linear regression Number of obs = 312 F(3, 311) = 0.29 Prob > F = 0.8308 R-squared = 0.0044 Root MSE = .417 (Std. Err. adjusted for 312 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0259511 .1144046 0.23 0.821 -.1991538 .251056 MV1_female | .001719 .0047194 0.36 0.716 -.0075669 .011005 femaleXMV1_female | -.0078704 .0094493 -0.83 0.406 -.0264631 .0107223 _cons | .2479622 .058078 4.27 0.000 .1336867 .3622377 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 0.18 Prob > F = 0.6694 R-squared = 0.0001 Root MSE = .43103 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0102534 .0240164 -0.43 0.669 -.0573376 .0368308 _cons | .2516138 .0069762 36.07 0.000 .2379369 .2652907 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_SO | 590 .2271186 .4193254 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_SO | 4,201 .3572959 .4792601 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 18.8461 34.61012 .5445258 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 48.10 Prob > F = 0.0000 R-squared = 0.0081 Root MSE = .4723 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.1301772 .0187704 -6.94 0.000 -.1669758 -.0933787 _cons | .3572959 .0073949 48.32 0.000 .3427984 .3717933 -------------------------------------------------------------------------------- Linear regression Number of obs = 293 F(3, 292) = 1.52 Prob > F = 0.2083 R-squared = 0.0154 Root MSE = .42605 (Std. Err. adjusted for 293 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0970626 .0983748 -0.99 0.325 -.2906761 .0965509 MV1_female | -.0050362 .0061888 -0.81 0.416 -.0172165 .0071442 femaleXMV1_female | .0189053 .0095864 1.97 0.050 .0000381 .0377726 _cons | .195326 .0666654 2.93 0.004 .0641205 .3265316 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,056 missing values generated) (62,236 missing values generated) (180 real changes made) (sum of wgt is 583.7498970031738) Linear regression Number of obs = 293 F(3, 292) = 1.24 Prob > F = 0.2969 R-squared = 0.0197 Root MSE = .4307 (Std. Err. adjusted for 293 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0873786 .105195 -0.83 0.407 -.2944151 .1196579 MV1_female | -.0041991 .0063336 -0.66 0.508 -.0166643 .0082662 femaleXMV1_female | .0188728 .01031 1.83 0.068 -.0014185 .0391641 _cons | .2017628 .0685887 2.94 0.004 .066772 .3367536 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 0.18 Prob > F = 0.6674 R-squared = 0.0002 Root MSE = .47001 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0125666 .0292458 -0.43 0.667 -.0699031 .0447699 _cons | .3355519 .0075488 44.45 0.000 .3207524 .3503514 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_WE | 590 .3762712 .4848604 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_WE | 4,201 .1932873 .3949234 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 19.0539 31.58775 .6032052 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 76.96 Prob > F = 0.0000 R-squared = 0.0214 Root MSE = .40706 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .1829839 .0208586 8.77 0.000 .1420915 .2238763 _cons | .1932873 .0060936 31.72 0.000 .181341 .2052336 -------------------------------------------------------------------------------- Linear regression Number of obs = 296 F(3, 295) = 4.10 Prob > F = 0.0072 R-squared = 0.0445 Root MSE = .45817 (Std. Err. adjusted for 296 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .2783948 .1137167 2.45 0.015 .054596 .5021935 MV1_female | .0018047 .0057936 0.31 0.756 -.0095973 .0132067 femaleXMV1_female | -.0136539 .0098746 -1.38 0.168 -.0330876 .0057797 _cons | .2650371 .066303 4.00 0.000 .1345504 .3955239 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,053 missing values generated) (62,235 missing values generated) (182 real changes made) (sum of wgt is 589.5530579090118) Linear regression Number of obs = 296 F(3, 295) = 0.47 Prob > F = 0.7023 R-squared = 0.0053 Root MSE = .46806 (Std. Err. adjusted for 296 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0612395 .1169746 0.52 0.601 -.168971 .2914499 MV1_female | .0021875 .0068236 0.32 0.749 -.0112417 .0156167 femaleXMV1_female | -.0104536 .0099396 -1.05 0.294 -.0300153 .009108 _cons | .3389237 .0782283 4.33 0.000 .1849674 .49288 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 0.03 Prob > F = 0.8662 R-squared = 0.0000 Root MSE = .418 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0033844 .0200839 0.17 0.866 -.0359902 .042759 _cons | .2237957 .0070159 31.90 0.000 .2100411 .2375503 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_black | 590 13.63385 16.69872 .1025148 70.98532 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_black | 4,201 11.51054 15.04212 .0669269 92.06912 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 18.41048 41.32455 .4455096 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 8.57 Prob > F = 0.0034 R-squared = 0.0021 Root MSE = 15.256 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 2.123309 .7251813 2.93 0.003 .7016201 3.544997 _cons | 11.51054 .2320981 49.59 0.000 11.05552 11.96556 -------------------------------------------------------------------------------- Linear regression Number of obs = 288 F(3, 287) = 0.97 Prob > F = 0.4056 R-squared = 0.0065 Root MSE = 8.2718 (Std. Err. adjusted for 288 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -1.740382 1.574145 -1.11 0.270 -4.838715 1.35795 MV1_female | -.0306046 .1070566 -0.29 0.775 -.2413203 .1801111 femaleXMV1_female | .2198252 .1645246 1.34 0.183 -.1040027 .543653 _cons | 6.757022 1.082057 6.24 0.000 4.627248 8.886796 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,061 missing values generated) (62,238 missing values generated) (177 real changes made) (sum of wgt is 572.8330496549606) Linear regression Number of obs = 288 F(3, 287) = 0.57 Prob > F = 0.6331 R-squared = 0.0041 Root MSE = 8.0678 (Std. Err. adjusted for 288 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -1.270747 1.53766 -0.83 0.409 -4.297268 1.755773 MV1_female | .0018997 .1057866 0.02 0.986 -.2063162 .2101156 femaleXMV1_female | .1305011 .1474107 0.89 0.377 -.1596421 .4206442 _cons | 6.950619 1.075816 6.46 0.000 4.833129 9.068109 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 0.95 Prob > F = 0.3304 R-squared = 0.0005 Root MSE = 14.569 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.6636069 .6817737 -0.97 0.330 -2.000226 .6730125 _cons | 11.24369 .2472338 45.48 0.000 10.75899 11.72839 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_urban | 590 84.00371 21.49034 0 100 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_urban | 4,201 69.0334 27.46602 0 100.0476 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 26.7024 45.52345 .5865637 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 233.11 Prob > F = 0.0000 R-squared = 0.0326 Root MSE = 26.803 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 14.97031 .980497 15.27 0.000 13.04809 16.89254 _cons | 69.0334 .4237974 162.89 0.000 68.20256 69.86424 -------------------------------------------------------------------------------- Linear regression Number of obs = 439 F(3, 438) = 2.83 Prob > F = 0.0381 R-squared = 0.0175 Root MSE = 26.175 (Std. Err. adjusted for 439 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 3.281066 5.153304 0.64 0.525 -6.847212 13.40934 MV1_female | .1075782 .202803 0.53 0.596 -.2910098 .5061663 femaleXMV1_female | .0519479 .3216224 0.16 0.872 -.5801671 .684063 _cons | 69.73375 3.352684 20.80 0.000 63.14441 76.3231 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (61,910 missing values generated) (62,190 missing values generated) (280 real changes made) (sum of wgt is 875.3006076812744) Linear regression Number of obs = 439 F(3, 438) = 0.32 Prob > F = 0.8096 R-squared = 0.0020 Root MSE = 25.686 (Std. Err. adjusted for 439 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -2.437037 5.341232 -0.46 0.648 -12.93467 8.060594 MV1_female | .1519016 .1940388 0.78 0.434 -.2294612 .5332644 femaleXMV1_female | -.0474775 .3294427 -0.14 0.885 -.6949625 .6000075 _cons | 73.04314 3.147035 23.21 0.000 66.85797 79.2283 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 0.59 Prob > F = 0.4419 R-squared = 0.0006 Root MSE = 26.343 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 1.252642 1.628918 0.77 0.442 -1.940856 4.44614 _cons | 70.41989 .4384158 160.62 0.000 69.56037 71.27941 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_for_born | 590 14.87431 13.82462 .5351791 56.85267 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_for_born | 4,201 7.907637 9.064049 .2187925 58.51513 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 23.18388 40.37474 .5742174 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 141.47 Prob > F = 0.0000 R-squared = 0.0520 Root MSE = 9.7754 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 6.966671 .5857289 11.89 0.000 5.818373 8.114968 _cons | 7.907637 .1398572 56.54 0.000 7.633452 8.181821 -------------------------------------------------------------------------------- Linear regression Number of obs = 385 F(3, 384) = 1.46 Prob > F = 0.2239 R-squared = 0.0154 Root MSE = 7.7236 (Std. Err. adjusted for 385 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .8207545 1.670629 0.49 0.624 -2.463972 4.105481 MV1_female | -.0647962 .0665242 -0.97 0.331 -.1955935 .0660012 femaleXMV1_female | .1911953 .1413424 1.35 0.177 -.0867066 .4690972 _cons | 6.593307 .8693572 7.58 0.000 4.884011 8.302604 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (61,964 missing values generated) (62,207 missing values generated) (243 real changes made) (sum of wgt is 766.3964701890945) Linear regression Number of obs = 385 F(3, 384) = 0.67 Prob > F = 0.5692 R-squared = 0.0054 Root MSE = 7.7013 (Std. Err. adjusted for 385 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .459085 1.572755 0.29 0.771 -2.633204 3.551374 MV1_female | -.0917597 .0744493 -1.23 0.219 -.2381391 .0546196 femaleXMV1_female | .1621763 .1291455 1.26 0.210 -.0917445 .416097 _cons | 6.875599 .9263052 7.42 0.000 5.054334 8.696865 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 0.01 Prob > F = 0.9343 R-squared = 0.0000 Root MSE = 9.3246 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0325844 .3952228 -0.08 0.934 -.8074198 .7422511 _cons | 8.233577 .1642389 50.13 0.000 7.911587 8.555568 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_age_o~65 | 590 12.57002 4.07163 5.899971 38.99562 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_age_o~65 | 4,201 13.61787 4.208184 4.116681 43.80611 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 23.56985 48.02239 .4908097 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 34.02 Prob > F = 0.0000 R-squared = 0.0067 Root MSE = 4.1916 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -1.047848 .1796631 -5.83 0.000 -1.40007 -.6956256 _cons | 13.61787 .0649318 209.73 0.000 13.49057 13.74516 -------------------------------------------------------------------------------- Linear regression Number of obs = 390 F(3, 389) = 0.83 Prob > F = 0.4757 R-squared = 0.0078 Root MSE = 4.3492 (Std. Err. adjusted for 390 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -1.223838 .8995622 -1.36 0.174 -2.99245 .5447741 MV1_female | .0209147 .0421893 0.50 0.620 -.0620329 .1038624 femaleXMV1_female | .0665491 .0725622 0.92 0.360 -.0761141 .2092124 _cons | 13.64047 .5914245 23.06 0.000 12.47768 14.80325 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (61,959 missing values generated) (62,206 missing values generated) (247 real changes made) (sum of wgt is 776.4072372913361) Linear regression Number of obs = 390 F(3, 389) = 0.66 Prob > F = 0.5769 R-squared = 0.0061 Root MSE = 4.382 (Std. Err. adjusted for 390 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -1.17669 .9568968 -1.23 0.220 -3.058026 .7046469 MV1_female | .0293236 .0493476 0.59 0.553 -.0676977 .126345 femaleXMV1_female | .0351716 .071299 0.49 0.622 -.105008 .1753512 _cons | 13.75082 .7047421 19.51 0.000 12.36524 15.1364 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 0.10 Prob > F = 0.7466 R-squared = 0.0001 Root MSE = 4.1221 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0753855 .23327 0.32 0.747 -.381941 .532712 _cons | 13.6203 .0687954 197.98 0.000 13.48543 13.75518 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lninc | 590 10.26496 .340084 9.42521 11.06974 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lninc | 4,201 10.2084 .3202676 9.040027 11.05996 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 18.70746 34.72323 .5387593 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 14.53 Prob > F = 0.0001 R-squared = 0.0033 Root MSE = .32277 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0565601 .0148391 3.81 0.000 .0274687 .0856515 _cons | 10.2084 .0049417 2065.77 0.000 10.19871 10.21808 -------------------------------------------------------------------------------- Linear regression Number of obs = 291 F(3, 290) = 0.52 Prob > F = 0.6667 R-squared = 0.0066 Root MSE = .32293 (Std. Err. adjusted for 291 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0434794 .082332 0.53 0.598 -.1185646 .2055234 MV1_female | .0018953 .0041904 0.45 0.651 -.006352 .0101427 femaleXMV1_female | -.0091373 .0075336 -1.21 0.226 -.0239648 .0056902 _cons | 10.35004 .0465109 222.53 0.000 10.2585 10.44158 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,058 missing values generated) (62,237 missing values generated) (179 real changes made) (sum of wgt is 579.0895062685013) Linear regression Number of obs = 291 F(3, 290) = 0.38 Prob > F = 0.7651 R-squared = 0.0067 Root MSE = .3302 (Std. Err. adjusted for 291 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0517682 .08695 0.60 0.552 -.1193649 .2229012 MV1_female | .0012578 .004169 0.30 0.763 -.0069475 .009463 femaleXMV1_female | -.0080531 .007819 -1.03 0.304 -.0234423 .0073362 _cons | 10.34816 .0455105 227.38 0.000 10.25858 10.43773 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 0.33 Prob > F = 0.5674 R-squared = 0.0003 Root MSE = .33029 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0110588 .0193356 0.57 0.567 -.0268486 .0489663 _cons | 10.21758 .0053022 1927.05 0.000 10.20718 10.22797 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lnpden | 590 .0413454 7.527808 -13.14081 10.70349 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lnpden | 4,201 .5482409 7.309131 -14.67538 11.20875 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 24.42462 41.68033 .5859987 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 2.37 Prob > F = 0.1241 R-squared = 0.0005 Root MSE = 7.3364 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.5068955 .3296113 -1.54 0.124 -1.153085 .1392942 _cons | .5482409 .112779 4.86 0.000 .3271422 .7693396 -------------------------------------------------------------------------------- Linear regression Number of obs = 403 F(3, 402) = 1.17 Prob > F = 0.3225 R-squared = 0.0085 Root MSE = 7.4636 (Std. Err. adjusted for 403 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .2628684 1.533142 0.17 0.864 -2.751109 3.276846 MV1_female | .0950597 .0652671 1.46 0.146 -.0332478 .2233671 femaleXMV1_female | -.1722115 .1067072 -1.61 0.107 -.3819853 .0375623 _cons | 1.054055 .9651433 1.09 0.275 -.8433038 2.951413 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (61,946 missing values generated) (62,202 missing values generated) (256 real changes made) (sum of wgt is 802.8636893033981) Linear regression Number of obs = 403 F(3, 402) = 0.87 Prob > F = 0.4569 R-squared = 0.0068 Root MSE = 7.5113 (Std. Err. adjusted for 403 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.2020271 1.598286 -0.13 0.899 -3.34407 2.940015 MV1_female | .0895684 .0682557 1.31 0.190 -.0446143 .2237511 femaleXMV1_female | -.1744804 .1131364 -1.54 0.124 -.3968933 .0479324 _cons | 1.264938 1.007892 1.26 0.210 -.7164596 3.246336 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 0.01 Prob > F = 0.9345 R-squared = 0.0000 Root MSE = 7.2767 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0315801 .3841947 -0.08 0.934 -.784795 .7216349 _cons | .6217099 .1195756 5.20 0.000 .3872815 .8561383 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lag_demsha~1 | 416 .5802717 .1987205 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lag_demsha~1 | 2,793 .5060043 .2233631 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 641 ----------------------+---------------------- NN matches = 3 Number of obs | 359 282 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 79.922 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 17.21253 32.22954 .5340606 ---------------------------------------------- Linear regression Number of obs = 3,209 F(1, 3208) = 48.97 Prob > F = 0.0000 R-squared = 0.0127 Root MSE = .22033 (Std. Err. adjusted for 3,209 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0742674 .0106125 7.00 0.000 .0534594 .0950754 _cons | .5060043 .004227 119.71 0.000 .4977164 .5142922 -------------------------------------------------------------------------------- Linear regression Number of obs = 207 F(3, 206) = 3.32 Prob > F = 0.0208 R-squared = 0.0346 Root MSE = .13593 (Std. Err. adjusted for 207 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0259688 .037201 0.70 0.486 -.0473746 .0993122 MV1_female | .0011605 .0028024 0.41 0.679 -.0043645 .0066855 femaleXMV1_female | .0004845 .0035081 0.14 0.890 -.006432 .0074009 _cons | .4492519 .0309483 14.52 0.000 .3882358 .510268 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,077 missing values generated) (62,247 missing values generated) (170 real changes made) (sum of wgt is 415.1722078323364) Linear regression Number of obs = 207 F(3, 206) = 2.59 Prob > F = 0.0542 R-squared = 0.0369 Root MSE = .12807 (Std. Err. adjusted for 207 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0331418 .0414199 0.80 0.425 -.0485195 .114803 MV1_female | .0011491 .0027484 0.42 0.676 -.0042695 .0065677 femaleXMV1_female | -.0005272 .0038647 -0.14 0.892 -.0081466 .0070923 _cons | .4497633 .0293691 15.31 0.000 .3918608 .5076658 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 5,901.8450615406) Linear regression Number of obs = 2,979 F(1, 2978) = 0.13 Prob > F = 0.7197 R-squared = 0.0001 Root MSE = .2072 (Std. Err. adjusted for 2,979 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0049179 .0137012 0.36 0.720 -.0219468 .0317826 _cons | .5102525 .0042633 119.68 0.000 .5018931 .5186119 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- DSpndPct | 590 61.35517 31.3759 0 100 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- DSpndPct | 4,201 51.00944 33.14232 0 100 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 10.96658 23.27847 .471104 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 55.52 Prob > F = 0.0000 R-squared = 0.0106 Root MSE = 32.93 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 10.34573 1.388501 7.45 0.000 7.623631 13.06783 _cons | 51.00944 .5113822 99.75 0.000 50.0069 52.01199 -------------------------------------------------------------------------------- Linear regression Number of obs = 161 F(3, 160) = 1.04 Prob > F = 0.3780 R-squared = 0.0198 Root MSE = 16.811 (Std. Err. adjusted for 161 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 2.468315 4.591958 0.54 0.592 -6.60035 11.53698 MV1_female | .3462252 .5111906 0.68 0.499 -.6633258 1.355776 femaleXMV1_female | -.2979342 .8014705 -0.37 0.711 -1.880759 1.284891 _cons | 49.0777 2.908476 16.87 0.000 43.33374 54.82165 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,188 missing values generated) (62,282 missing values generated) (94 real changes made) (sum of wgt is 319.9288716316223) Linear regression Number of obs = 161 F(3, 160) = 1.10 Prob > F = 0.3490 R-squared = 0.0237 Root MSE = 16.915 (Std. Err. adjusted for 161 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 2.352512 5.18104 0.45 0.650 -7.879533 12.58456 MV1_female | .4452749 .5050518 0.88 0.379 -.5521527 1.442703 femaleXMV1_female | -.4018554 .8913928 -0.45 0.653 -2.162268 1.358558 _cons | 49.75662 2.748748 18.10 0.000 44.32811 55.18512 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 1.42 Prob > F = 0.2327 R-squared = 0.0013 Root MSE = 33.842 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 2.399998 2.010898 1.19 0.233 -1.542373 6.342369 _cons | 51.10635 .554345 92.19 0.000 50.01955 52.19314 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- absMV | 540 .3547234 .2401786 .0002862 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- absMV | 3,863 .366315 .2633881 6.32e-06 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 7.05053 12.8683 .5478993 ---------------------------------------------- Linear regression Number of obs = 4,403 F(1, 4402) = 1.08 Prob > F = 0.2992 R-squared = 0.0002 Root MSE = .26066 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0115915 .0111641 -1.04 0.299 -.0334789 .0102958 _cons | .366315 .0042381 86.43 0.000 .3580061 .3746239 -------------------------------------------------------------------------------- Linear regression Number of obs = 107 F(0, 106) = . Prob > F = . R-squared = 1.0000 Root MSE = 0 (Std. Err. adjusted for 107 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -2.30e-10 2.12e-10 -1.08 0.281 -6.51e-10 1.91e-10 MV1_female | -.01 4.12e-11 -2.4e+08 0.000 -.01 -.01 femaleXMV1_female | .02 6.14e-11 3.3e+08 0.000 .02 .02 _cons | 3.07e-10 1.64e-10 1.87 0.065 -1.88e-11 6.32e-10 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,247 missing values generated) (62,309 missing values generated) (62 real changes made) (sum of wgt is 201.3423994779587) Linear regression Number of obs = 102 F(0, 101) = . Prob > F = . R-squared = 1.0000 Root MSE = 0 (Std. Err. adjusted for 102 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -2.83e-10 2.46e-10 -1.15 0.252 -7.70e-10 2.04e-10 MV1_female | -.01 5.12e-11 -2.0e+08 0.000 -.01 -.01 femaleXMV1_female | .02 7.41e-11 2.7e+08 0.000 .02 .02 _cons | 4.11e-10 1.83e-10 2.25 0.027 4.89e-11 7.73e-10 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 2.13 Prob > F = 0.1444 R-squared = 0.0018 Root MSE = .2496 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0211365 .0144774 -1.46 0.144 -.0495195 .0072464 _cons | .363797 .0041582 87.49 0.000 .3556448 .3719492 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_de~t | 590 .6881356 .4636479 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_de~t | 4,198 .5 .5000596 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 17.64652 30.24592 .5834349 ---------------------------------------------- Linear regression Number of obs = 4,788 F(1, 4787) = 83.58 Prob > F = 0.0000 R-squared = 0.0153 Root MSE = .49572 (Std. Err. adjusted for 4,788 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .1881356 .0205783 9.14 0.000 .1477927 .2284785 _cons | .5 .0077186 64.78 0.000 .484868 .515132 -------------------------------------------------------------------------------- Linear regression Number of obs = 278 F(3, 277) = 11.57 Prob > F = 0.0000 R-squared = 0.1131 Root MSE = .46832 (Std. Err. adjusted for 278 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .4207765 .1160054 3.63 0.000 .1924123 .6491407 MV1_female | .001577 .0064861 0.24 0.808 -.0111913 .0143454 femaleXMV1_female | -.0130932 .011258 -1.16 0.246 -.0352553 .0090689 _cons | .3096403 .0708456 4.37 0.000 .1701761 .4491045 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,071 missing values generated) (62,244 missing values generated) (173 real changes made) (sum of wgt is 551.805853843689) Linear regression Number of obs = 278 F(3, 277) = 13.14 Prob > F = 0.0000 R-squared = 0.1402 Root MSE = .46575 (Std. Err. adjusted for 278 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .4923476 .1181763 4.17 0.000 .2597099 .7249852 MV1_female | .0029888 .0069773 0.43 0.669 -.0107464 .016724 femaleXMV1_female | -.0236691 .0116649 -2.03 0.043 -.0466322 -.000706 _cons | .3224849 .0764893 4.22 0.000 .1719107 .4730591 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,805.42208445072) Linear regression Number of obs = 4,400 F(1, 4399) = 0.93 Prob > F = 0.3341 R-squared = 0.0008 Root MSE = .49955 (Std. Err. adjusted for 4,400 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .028446 .0294457 0.97 0.334 -.0292823 .0861743 _cons | .5046778 .0080958 62.34 0.000 .4888059 .5205496 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_te~n | 590 4.19322 2.779983 1 14 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_te~n | 4,201 5.634373 3.838477 1 20 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 16.7383 30.88887 .5418878 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 125.19 Prob > F = 0.0000 R-squared = 0.0159 Root MSE = 3.7246 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -1.441152 .128802 -11.19 0.000 -1.693663 -1.188641 _cons | 5.634373 .0592272 95.13 0.000 5.51826 5.750485 -------------------------------------------------------------------------------- Linear regression Number of obs = 264 F(3, 263) = 7.35 Prob > F = 0.0001 R-squared = 0.0661 Root MSE = 3.5268 (Std. Err. adjusted for 264 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -1.341161 .7721429 -1.74 0.084 -2.86153 .1792073 MV1_female | -.1181062 .063374 -1.86 0.063 -.2428912 .0066787 femaleXMV1_female | .2249661 .0815001 2.76 0.006 .0644903 .3854419 _cons | 3.170439 .6149297 5.16 0.000 1.959627 4.381251 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,085 missing values generated) (62,249 missing values generated) (164 real changes made) (sum of wgt is 524.2372331619263) Linear regression Number of obs = 264 F(3, 263) = 7.64 Prob > F = 0.0001 R-squared = 0.0776 Root MSE = 3.3267 (Std. Err. adjusted for 264 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -1.490594 .8397524 -1.78 0.077 -3.144087 .1628999 MV1_female | -.1157798 .0684275 -1.69 0.092 -.2505153 .0189557 femaleXMV1_female | .2420935 .0851966 2.84 0.005 .0743392 .4098478 _cons | 3.165581 .695503 4.55 0.000 1.796119 4.535044 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 85.77 Prob > F = 0.0000 R-squared = 0.0463 Root MSE = 3.3063 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -1.457068 .1573299 -9.26 0.000 -1.765513 -1.148622 _cons | 5.594564 .0625895 89.39 0.000 5.471857 5.717271 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_ro~e | 590 .1881356 .391152 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_ro~e | 4,201 .1311592 .3376146 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 25.67577 40.0236 .6415157 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 11.35 Prob > F = 0.0008 R-squared = 0.0029 Root MSE = .34465 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0569763 .0169153 3.37 0.001 .0238146 .0901381 _cons | .1311592 .0052094 25.18 0.000 .1209465 .141372 -------------------------------------------------------------------------------- Linear regression Number of obs = 420 F(3, 419) = 17.61 Prob > F = 0.0000 R-squared = 0.1067 Root MSE = .44176 (Std. Err. adjusted for 420 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0937619 .098899 0.95 0.344 -.1006381 .2881618 MV1_female | .0190762 .0035625 5.35 0.000 .0120736 .0260789 femaleXMV1_female | -.0406197 .006021 -6.75 0.000 -.0524549 -.0287846 _cons | .5490272 .0617839 8.89 0.000 .4275822 .6704722 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (61,929 missing values generated) (62,198 missing values generated) (269 real changes made) (sum of wgt is 837.355175614357) Linear regression Number of obs = 420 F(3, 419) = 18.74 Prob > F = 0.0000 R-squared = 0.1193 Root MSE = .44252 (Std. Err. adjusted for 420 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .1100231 .102372 1.07 0.283 -.0912036 .3112497 MV1_female | .0196699 .0035809 5.49 0.000 .0126311 .0267086 femaleXMV1_female | -.0424209 .0061943 -6.85 0.000 -.0545967 -.0302451 _cons | .5511389 .0630604 8.74 0.000 .4271847 .675093 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 4.98 Prob > F = 0.0257 R-squared = 0.0039 Root MSE = .36532 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0459168 .0205761 2.23 0.026 .0055774 .0862563 _cons | .1363342 .0055515 24.56 0.000 .1254504 .147218 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_age | 589 55.64516 9.380001 32 80 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_age | 4,199 53.73065 10.14291 27 89 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 897 ----------------------+---------------------- NN matches = 3 Number of obs | 500 397 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 14.60984 26.25605 .556437 ---------------------------------------------- Linear regression Number of obs = 4,788 F(1, 4787) = 21.10 Prob > F = 0.0000 R-squared = 0.0039 Root MSE = 10.052 (Std. Err. adjusted for 4,788 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 1.914511 .4167651 4.59 0.000 1.09746 2.731562 _cons | 53.73065 .1565412 343.24 0.000 53.42376 54.03754 -------------------------------------------------------------------------------- Linear regression Number of obs = 217 F(3, 216) = 1.64 Prob > F = 0.1809 R-squared = 0.0231 Root MSE = 10.221 (Std. Err. adjusted for 217 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 1.769677 2.522529 0.70 0.484 -3.202248 6.741601 MV1_female | -.1386686 .2226305 -0.62 0.534 -.577475 .3001378 femaleXMV1_female | .4004329 .3097798 1.29 0.198 -.2101455 1.011011 _cons | 49.60412 1.902757 26.07 0.000 45.85377 53.35447 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,131 missing values generated) (62,262 missing values generated) (131 real changes made) (sum of wgt is 432.0447381734848) Linear regression Number of obs = 217 F(3, 216) = 2.29 Prob > F = 0.0798 R-squared = 0.0363 Root MSE = 10.084 (Std. Err. adjusted for 217 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0250116 2.793757 -0.01 0.993 -5.531527 5.481504 MV1_female | -.0999666 .2362951 -0.42 0.673 -.565706 .3657728 femaleXMV1_female | .5646199 .321382 1.76 0.080 -.0688264 1.198066 _cons | 49.64366 2.164894 22.93 0.000 45.37664 53.91068 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,800.2160358429) Linear regression Number of obs = 4,400 F(1, 4399) = 5.38 Prob > F = 0.0204 R-squared = 0.0048 Root MSE = 9.8046 (Std. Err. adjusted for 4,400 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 1.362438 .5875282 2.32 0.020 .2105872 2.514289 _cons | 53.64582 .1649492 325.23 0.000 53.32243 53.9692 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- leader | 590 .0372881 .1896277 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- leader | 4,201 .1125922 .3161313 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 23.01663 47.75025 .4820211 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 66.98 Prob > F = 0.0000 R-squared = 0.0066 Root MSE = .30343 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0753041 .0092012 -8.18 0.000 -.0933427 -.0572655 _cons | .1125922 .0048779 23.08 0.000 .1030294 .1221551 -------------------------------------------------------------------------------- Linear regression Number of obs = 380 F(3, 379) = 5.57 Prob > F = 0.0010 R-squared = 0.0267 Root MSE = .23163 (Std. Err. adjusted for 380 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0290357 .0336213 -0.86 0.388 -.0951433 .0370719 MV1_female | -.0044699 .0026508 -1.69 0.093 -.0096821 .0007423 femaleXMV1_female | .0066471 .0030718 2.16 0.031 .0006071 .012687 _cons | .0243335 .0316373 0.77 0.442 -.0378732 .0865402 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (61,969 missing values generated) (62,207 missing values generated) (238 real changes made) (sum of wgt is 756.7074077129364) Linear regression Number of obs = 380 F(3, 379) = 5.89 Prob > F = 0.0006 R-squared = 0.0346 Root MSE = .21678 (Std. Err. adjusted for 380 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0400962 .0421257 -0.95 0.342 -.1229255 .0427331 MV1_female | -.0041324 .0031889 -1.30 0.196 -.0104026 .0021378 femaleXMV1_female | .0059795 .0035036 1.71 0.089 -.0009095 .0128684 _cons | .0340471 .0407528 0.84 0.404 -.0460827 .114177 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 160.20 Prob > F = 0.0000 R-squared = 0.0380 Root MSE = .24235 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0962603 .0076052 -12.66 0.000 -.1111703 -.0813502 _cons | .1134424 .0051629 21.97 0.000 .1033205 .1235644 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- borninstate | 587 .439523 .4967524 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- borninstate | 4,188 .6860076 .4641687 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 892 ----------------------+---------------------- NN matches = 3 Number of obs | 496 396 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 18.15672 32.77455 .5539884 ---------------------------------------------- Linear regression Number of obs = 4,775 F(1, 4774) = 128.91 Prob > F = 0.0000 R-squared = 0.0290 Root MSE = .46829 (Std. Err. adjusted for 4,775 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.2464846 .0217093 -11.35 0.000 -.2890449 -.2039244 _cons | .6860076 .0071732 95.64 0.000 .6719449 .7000704 -------------------------------------------------------------------------------- Linear regression Number of obs = 282 F(3, 281) = 7.80 Prob > F = 0.0001 R-squared = 0.0787 Root MSE = .47983 (Std. Err. adjusted for 282 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.2515708 .1203763 -2.09 0.038 -.4885246 -.014617 MV1_female | -.0020792 .0067642 -0.31 0.759 -.0153942 .0112358 femaleXMV1_female | .0005992 .0111286 0.05 0.957 -.0213067 .0225052 _cons | .6505778 .0746428 8.72 0.000 .5036478 .7975078 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,063 missing values generated) (62,239 missing values generated) (176 real changes made) (sum of wgt is 562.6778956651688) Linear regression Number of obs = 282 F(3, 281) = 4.42 Prob > F = 0.0047 R-squared = 0.0547 Root MSE = .48777 (Std. Err. adjusted for 282 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.1291982 .1298716 -0.99 0.321 -.3848429 .1264465 MV1_female | -.0027958 .0070782 -0.39 0.693 -.0167288 .0111371 femaleXMV1_female | -.0046749 .011935 -0.39 0.696 -.0281683 .0188185 _cons | .6291087 .07851 8.01 0.000 .4745663 .7836511 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,757.95402216911) Linear regression Number of obs = 4,387 F(1, 4386) = 58.50 Prob > F = 0.0000 R-squared = 0.0512 Root MSE = .4825 (Std. Err. adjusted for 4,387 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.2240354 .0292916 -7.65 0.000 -.2814617 -.166609 _cons | .6806943 .0075923 89.66 0.000 .6658096 .695579 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- ivycoll | 587 .0545145 .2272237 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- ivycoll | 4,169 .1014632 .3019773 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 888 ----------------------+---------------------- NN matches = 3 Number of obs | 492 396 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 17.99248 33.31159 .5401267 ---------------------------------------------- Linear regression Number of obs = 4,756 F(1, 4755) = 20.09 Prob > F = 0.0000 R-squared = 0.0028 Root MSE = .29379 (Std. Err. adjusted for 4,756 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0469487 .0104748 -4.48 0.000 -.0674841 -.0264133 _cons | .1014632 .0046773 21.69 0.000 .0922935 .1106329 -------------------------------------------------------------------------------- Linear regression Number of obs = 276 F(3, 275) = 0.51 Prob > F = 0.6742 R-squared = 0.0047 Root MSE = .29856 (Std. Err. adjusted for 276 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0378385 .0633262 -0.60 0.551 -.1625041 .0868271 MV1_female | -.0017515 .0044163 -0.40 0.692 -.0104456 .0069426 femaleXMV1_female | .0037941 .0060865 0.62 0.534 -.008188 .0157761 _cons | .0949297 .0472938 2.01 0.046 .0018258 .1880337 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,066 missing values generated) (62,242 missing values generated) (176 real changes made) (sum of wgt is 552.4403859376907) Linear regression Number of obs = 276 F(3, 275) = 0.37 Prob > F = 0.7754 R-squared = 0.0042 Root MSE = .28954 (Std. Err. adjusted for 276 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.03669 .0678143 -0.54 0.589 -.170191 .0968111 MV1_female | -.0017725 .0043711 -0.41 0.685 -.0103777 .0068326 femaleXMV1_female | .0053793 .0072697 0.74 0.460 -.0089319 .0196905 _cons | .085321 .0458097 1.86 0.064 -.0048612 .1755033 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,733.35051560402) Linear regression Number of obs = 4,368 F(1, 4367) = 38.36 Prob > F = 0.0000 R-squared = 0.0130 Root MSE = .25775 (Std. Err. adjusted for 4,368 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.059252 .0095668 -6.19 0.000 -.0780078 -.0404961 _cons | .1021913 .0049404 20.68 0.000 .0925057 .111877 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ0 | 581 .253012 .4351124 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ0 | 4,178 .1685017 .374356 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 884 ----------------------+---------------------- NN matches = 3 Number of obs | 492 392 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 19.10431 35.47992 .5384542 ---------------------------------------------- Linear regression Number of obs = 4,759 F(1, 4758) = 19.90 Prob > F = 0.0000 R-squared = 0.0052 Root MSE = .38228 (Std. Err. adjusted for 4,759 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0845104 .0189468 4.46 0.000 .0473659 .1216549 _cons | .1685017 .0057922 29.09 0.000 .1571464 .179857 -------------------------------------------------------------------------------- Linear regression Number of obs = 287 F(3, 286) = 1.91 Prob > F = 0.1285 R-squared = 0.0256 Root MSE = .34063 (Std. Err. adjusted for 287 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0289525 .0844294 -0.34 0.732 -.1951343 .1372293 MV1_female | .0026313 .0039955 0.66 0.511 -.005233 .0104955 femaleXMV1_female | .0068056 .0079802 0.85 0.394 -.0089017 .0225129 _cons | .1283764 .0484017 2.65 0.008 .0331075 .2236452 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,053 missing values generated) (62,235 missing values generated) (182 real changes made) (sum of wgt is 570.0657125711441) Linear regression Number of obs = 287 F(3, 286) = 1.32 Prob > F = 0.2692 R-squared = 0.0215 Root MSE = .34036 (Std. Err. adjusted for 287 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0521406 .0806806 -0.65 0.519 -.2109437 .1066625 MV1_female | .002716 .0042534 0.64 0.524 -.005656 .011088 femaleXMV1_female | .0066406 .0078495 0.85 0.398 -.0088095 .0220907 _cons | .1304155 .0513189 2.54 0.012 .0294048 .2314261 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,712.50798380375) Linear regression Number of obs = 4,371 F(1, 4370) = 12.43 Prob > F = 0.0004 R-squared = 0.0132 Root MSE = .40721 (Std. Err. adjusted for 4,371 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0941606 .0267119 3.53 0.000 .0417918 .1465294 _cons | .1667033 .0060543 27.53 0.000 .1548338 .1785728 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ1 | 581 .2134251 .4100784 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ1 | 4,178 .0868837 .2816982 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 884 ----------------------+---------------------- NN matches = 3 Number of obs | 492 392 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 20.97493 35.47673 .5912306 ---------------------------------------------- Linear regression Number of obs = 4,759 F(1, 4758) = 51.98 Prob > F = 0.0000 R-squared = 0.0187 Root MSE = .3003 (Std. Err. adjusted for 4,759 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .1265415 .0175516 7.21 0.000 .0921322 .1609508 _cons | .0868837 .0043585 19.93 0.000 .078339 .0954284 -------------------------------------------------------------------------------- Linear regression Number of obs = 333 F(3, 332) = 1.67 Prob > F = 0.1738 R-squared = 0.0172 Root MSE = .32071 (Std. Err. adjusted for 333 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0818821 .0778188 1.05 0.293 -.071198 .2349623 MV1_female | .0009827 .0030769 0.32 0.750 -.00507 .0070354 femaleXMV1_female | -.0015999 .006123 -0.26 0.794 -.0136446 .0104449 _cons | .0966998 .0416763 2.32 0.021 .0147169 .1786827 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,006 missing values generated) (62,224 missing values generated) (218 real changes made) (sum of wgt is 661.6102056503296) Linear regression Number of obs = 333 F(3, 332) = 1.25 Prob > F = 0.2921 R-squared = 0.0138 Root MSE = .32749 (Std. Err. adjusted for 333 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0883672 .0805249 1.10 0.273 -.0700361 .2467706 MV1_female | .0004987 .0031077 0.16 0.873 -.0056146 .006612 femaleXMV1_female | -.0022849 .0063654 -0.36 0.720 -.0148066 .0102368 _cons | .090551 .0408666 2.22 0.027 .0101609 .1709411 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,712.50798380375) Linear regression Number of obs = 4,371 F(1, 4370) = 18.55 Prob > F = 0.0000 R-squared = 0.0159 Root MSE = .33119 (Std. Err. adjusted for 4,371 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0841697 .0195413 4.31 0.000 .0458588 .1224806 _cons | .085824 .0045686 18.79 0.000 .0768672 .0947807 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ2 | 581 .0860585 .2806921 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ2 | 4,178 .3243179 .4681754 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 884 ----------------------+---------------------- NN matches = 3 Number of obs | 492 392 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 23.04299 39.83709 .5784304 ---------------------------------------------- Linear regression Number of obs = 4,759 F(1, 4758) = 302.11 Prob > F = 0.0000 R-squared = 0.0292 Root MSE = .44952 (Std. Err. adjusted for 4,759 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.2382593 .0137078 -17.38 0.000 -.2651329 -.2113857 _cons | .3243179 .0072438 44.77 0.000 .3101167 .338519 -------------------------------------------------------------------------------- Linear regression Number of obs = 370 F(3, 369) = 7.91 Prob > F = 0.0000 R-squared = 0.0508 Root MSE = .37501 (Std. Err. adjusted for 370 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0961997 .0754001 -1.28 0.203 -.2444675 .052068 MV1_female | -.004598 .0041526 -1.11 0.269 -.0127637 .0035677 femaleXMV1_female | .0031797 .0054602 0.58 0.561 -.0075572 .0139167 _cons | .1849519 .0568641 3.25 0.001 .0731336 .2967703 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (61,969 missing values generated) (62,207 missing values generated) (238 real changes made) (sum of wgt is 735.6118830442429) Linear regression Number of obs = 370 F(3, 369) = 7.87 Prob > F = 0.0000 R-squared = 0.0536 Root MSE = .35716 (Std. Err. adjusted for 370 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0590543 .0846282 -0.70 0.486 -.2254684 .1073598 MV1_female | -.0042444 .0041684 -1.02 0.309 -.0124412 .0039523 femaleXMV1_female | .0002503 .0057332 0.04 0.965 -.0110234 .0115241 _cons | .1851941 .0573047 3.23 0.001 .0725094 .2978787 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,712.50798380375) Linear regression Number of obs = 4,371 F(1, 4370) = 194.64 Prob > F = 0.0000 R-squared = 0.0848 Root MSE = .38586 (Std. Err. adjusted for 4,371 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.2347937 .0168294 -13.95 0.000 -.2677879 -.2017995 _cons | .3212304 .0075785 42.39 0.000 .3063728 .3360881 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ3 | 581 .0292599 .1686794 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ3 | 4,178 .0615127 .2402971 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 884 ----------------------+---------------------- NN matches = 3 Number of obs | 492 392 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 23.32096 44.3458 .5258887 ---------------------------------------------- Linear regression Number of obs = 4,759 F(1, 4758) = 16.58 Prob > F = 0.0000 R-squared = 0.0021 Root MSE = .23275 (Std. Err. adjusted for 4,759 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0322528 .0079203 -4.07 0.000 -.0477803 -.0167253 _cons | .0615127 .003718 16.54 0.000 .0542238 .0688016 -------------------------------------------------------------------------------- Linear regression Number of obs = 379 F(3, 378) = 1.28 Prob > F = 0.2795 R-squared = 0.0077 Root MSE = .24858 (Std. Err. adjusted for 379 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0190353 .0418163 -0.46 0.649 -.1012569 .0631864 MV1_female | -.0027209 .0025053 -1.09 0.278 -.0076469 .0022052 femaleXMV1_female | .0052093 .003371 1.55 0.123 -.0014189 .0118375 _cons | .0399004 .0329708 1.21 0.227 -.0249289 .1047296 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (61,960 missing values generated) (62,207 missing values generated) (247 real changes made) (sum of wgt is 753.2894883155823) Linear regression Number of obs = 379 F(3, 378) = 0.80 Prob > F = 0.4932 R-squared = 0.0076 Root MSE = .24041 (Std. Err. adjusted for 379 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0092959 .0472983 -0.20 0.844 -.1022965 .0837048 MV1_female | -.0026881 .0026696 -1.01 0.315 -.0079372 .002561 femaleXMV1_female | .0038167 .0034046 1.12 0.263 -.0028777 .0105111 _cons | .0419297 .0353208 1.19 0.236 -.0275203 .1113796 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,712.50798380375) Linear regression Number of obs = 4,371 F(1, 4370) = 30.44 Prob > F = 0.0000 R-squared = 0.0095 Root MSE = .20264 (Std. Err. adjusted for 4,371 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0397684 .0072076 -5.52 0.000 -.053899 -.0256377 _cons | .0631111 .0039677 15.91 0.000 .0553324 .0708899 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ4 | 581 .0998279 .3000287 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ4 | 4,178 .1859742 .3891324 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 884 ----------------------+---------------------- NN matches = 3 Number of obs | 492 392 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 17.56572 35.19274 .4991292 ---------------------------------------------- Linear regression Number of obs = 4,759 F(1, 4758) = 38.86 Prob > F = 0.0000 R-squared = 0.0055 Root MSE = .37939 (Std. Err. adjusted for 4,759 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0861463 .0138197 -6.23 0.000 -.1132392 -.0590533 _cons | .1859742 .0060208 30.89 0.000 .1741706 .1977777 -------------------------------------------------------------------------------- Linear regression Number of obs = 268 F(3, 267) = 3.92 Prob > F = 0.0092 R-squared = 0.0396 Root MSE = .40662 (Std. Err. adjusted for 268 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0876586 .0973076 0.90 0.368 -.1039292 .2792463 MV1_female | -.0128567 .0061984 -2.07 0.039 -.0250607 -.0006527 femaleXMV1_female | .0038667 .0090495 0.43 0.670 -.0139507 .0216841 _cons | .1379693 .0616075 2.24 0.026 .016671 .2592677 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,072 missing values generated) (62,244 missing values generated) (172 real changes made) (sum of wgt is 531.272495508194) Linear regression Number of obs = 268 F(3, 267) = 2.73 Prob > F = 0.0442 R-squared = 0.0354 Root MSE = .39869 (Std. Err. adjusted for 268 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0762372 .0936546 0.81 0.416 -.1081582 .2606327 MV1_female | -.0148209 .0062377 -2.38 0.018 -.0271022 -.0025396 femaleXMV1_female | .0107535 .0093493 1.15 0.251 -.0076542 .0291612 _cons | .1130585 .0589295 1.92 0.056 -.0029671 .2290841 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,712.50798380375) Linear regression Number of obs = 4,371 F(1, 4370) = 44.28 Prob > F = 0.0000 R-squared = 0.0231 Root MSE = .3407 (Std. Err. adjusted for 4,371 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.1047299 .0157386 -6.65 0.000 -.1355855 -.0738742 _cons | .1898617 .0063412 29.94 0.000 .1774297 .2022936 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ6 | 581 .313253 .464216 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ6 | 4,178 .1476783 .3548233 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 884 ----------------------+---------------------- NN matches = 3 Number of obs | 492 392 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 17.7139 31.9888 .5537534 ---------------------------------------------- Linear regression Number of obs = 4,759 F(1, 4758) = 68.44 Prob > F = 0.0000 R-squared = 0.0210 Root MSE = .3699 (Std. Err. adjusted for 4,759 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .1655747 .0200141 8.27 0.000 .1263379 .2048115 _cons | .1476783 .0054899 26.90 0.000 .1369155 .1584411 -------------------------------------------------------------------------------- Linear regression Number of obs = 272 F(3, 271) = 2.44 Prob > F = 0.0646 R-squared = 0.0271 Root MSE = .44941 (Std. Err. adjusted for 272 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0458948 .117754 -0.39 0.697 -.2777238 .1859342 MV1_female | .0095588 .0064495 1.48 0.139 -.0031387 .0222563 femaleXMV1_female | -.0015027 .0112432 -0.13 0.894 -.0236377 .0206323 _cons | .334014 .0731828 4.56 0.000 .1899348 .4780931 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,068 missing values generated) (62,243 missing values generated) (175 real changes made) (sum of wgt is 539.7586525678635) Linear regression Number of obs = 272 F(3, 271) = 2.56 Prob > F = 0.0551 R-squared = 0.0285 Root MSE = .4572 (Std. Err. adjusted for 272 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0712118 .1316356 -0.54 0.589 -.3303702 .1879466 MV1_female | .0113564 .0066822 1.70 0.090 -.0017992 .0245121 femaleXMV1_female | -.0026129 .0124849 -0.21 0.834 -.0271926 .0219669 _cons | .3576745 .0777367 4.60 0.000 .2046299 .5107191 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,712.50798380375) Linear regression Number of obs = 4,371 F(1, 4370) = 59.99 Prob > F = 0.0000 R-squared = 0.0643 Root MSE = .42356 (Std. Err. adjusted for 4,371 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .2219924 .0286625 7.75 0.000 .1657995 .2781854 _cons | .1479319 .0057984 25.51 0.000 .136564 .1592997 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- black | 590 .1576271 .3647002 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- black | 4,201 .0654606 .2473663 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 898 ----------------------+---------------------- NN matches = 3 Number of obs | 500 398 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 10.30635 23.93233 .4306455 ---------------------------------------------- Linear regression Number of obs = 4,791 F(1, 4790) = 35.44 Prob > F = 0.0000 R-squared = 0.0129 Root MSE = .26462 (Std. Err. adjusted for 4,791 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0921665 .0154827 5.95 0.000 .0618133 .1225197 _cons | .0654606 .0038168 17.15 0.000 .0579779 .0729434 -------------------------------------------------------------------------------- Linear regression Number of obs = 151 F(2, 150) = . Prob > F = . R-squared = 0.0209 Root MSE = .08134 (Std. Err. adjusted for 151 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0039406 .0048969 -0.80 0.422 -.0136163 .0057352 MV1_female | 9.81e-18 8.50e-18 1.15 0.250 -6.98e-18 2.66e-17 femaleXMV1_female | .0041709 .004232 0.99 0.326 -.0041912 .0125329 _cons | 5.03e-17 2.40e-17 2.09 0.038 2.81e-18 9.78e-17 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,198 missing values generated) (62,290 missing values generated) (92 real changes made) (sum of wgt is 302.0920723676682) Linear regression Number of obs = 151 F(2, 150) = . Prob > F = . R-squared = 0.0338 Root MSE = .12609 (Std. Err. adjusted for 151 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0082442 .0104384 -0.79 0.431 -.0288695 .0123811 MV1_female | 0 1.55e-17 0.00 1.000 -3.07e-17 3.07e-17 femaleXMV1_female | .0076949 .0076927 1.00 0.319 -.007505 .0228949 _cons | 1.39e-17 1.11e-16 0.12 0.901 -2.05e-16 2.33e-16 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (57,946 missing values generated) (61,809 missing values generated) (3,863 real changes made) (sum of wgt is 8,808.59098601341) Linear regression Number of obs = 4,403 F(1, 4402) = 4.55 Prob > F = 0.0330 R-squared = 0.0023 Root MSE = .26731 (Std. Err. adjusted for 4,403 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0258443 .0121145 2.13 0.033 .0020937 .0495948 _cons | .0646865 .0041515 15.58 0.000 .0565474 .0728255 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_NE | 406 .1847291 .3885564 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_NE | 2,099 .2510719 .4337332 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 19.23593 31.8411 .6041227 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 9.55 Prob > F = 0.0020 R-squared = 0.0033 Root MSE = .42675 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0663429 .0214685 -3.09 0.002 -.1084408 -.024245 _cons | .2510719 .0094686 26.52 0.000 .2325048 .2696391 -------------------------------------------------------------------------------- Linear regression Number of obs = 131 F(3, 130) = 0.74 Prob > F = 0.5280 R-squared = 0.0199 Root MSE = .43201 (Std. Err. adjusted for 131 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.2064244 .1596226 -1.29 0.198 -.5222187 .1093699 MV1_female | .0108404 .0099225 1.09 0.277 -.0087901 .0304709 femaleXMV1_female | -.010181 .0134311 -0.76 0.450 -.0367527 .0163907 _cons | .4057587 .1270699 3.19 0.002 .1543662 .6571512 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,218 missing values generated) (62,276 missing values generated) (58 real changes made) (sum of wgt is 249.2754527330399) Linear regression Number of obs = 131 F(3, 130) = 0.14 Prob > F = 0.9377 R-squared = 0.0032 Root MSE = .42751 (Std. Err. adjusted for 131 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0639106 .1643156 -0.39 0.698 -.3889893 .2611681 MV1_female | .0057049 .0089512 0.64 0.525 -.012004 .0234138 femaleXMV1_female | -.0054055 .0136888 -0.39 0.694 -.0324872 .0216761 _cons | .2912225 .1181797 2.46 0.015 .057418 .525027 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.27 Prob > F = 0.6055 R-squared = 0.0004 Root MSE = .40289 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0163734 .0316991 -0.52 0.606 -.0785356 .0457888 _cons | .2120091 .0092373 22.95 0.000 .1938946 .2301236 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_MW | 406 .2167488 .4125384 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_MW | 2,099 .2296332 .4206971 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 18.61468 35.81232 .5197841 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 0.33 Prob > F = 0.5656 R-squared = 0.0001 Root MSE = .41939 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0128844 .0224239 -0.57 0.566 -.0568556 .0310869 _cons | .2296332 .009184 25.00 0.000 .2116241 .2476422 -------------------------------------------------------------------------------- Linear regression Number of obs = 125 F(3, 124) = 1.06 Prob > F = 0.3709 R-squared = 0.0190 Root MSE = .39651 (Std. Err. adjusted for 125 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .1426715 .1352841 1.05 0.294 -.1250936 .4104366 MV1_female | -.0057199 .0089936 -0.64 0.526 -.0235208 .0120809 femaleXMV1_female | -.006162 .0117819 -0.52 0.602 -.0294816 .0171576 _cons | .1479255 .0963446 1.54 0.127 -.0427675 .3386185 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,224 missing values generated) (62,278 missing values generated) (54 real changes made) (sum of wgt is 237.5823001861572) Linear regression Number of obs = 125 F(3, 124) = 1.49 Prob > F = 0.2207 R-squared = 0.0320 Root MSE = .41092 (Std. Err. adjusted for 125 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .2122565 .1533275 1.38 0.169 -.0912215 .5157345 MV1_female | -.0098884 .0100161 -0.99 0.325 -.029713 .0099362 femaleXMV1_female | -.0057934 .0133512 -0.43 0.665 -.0322191 .0206324 _cons | .134289 .1050674 1.28 0.204 -.0736688 .3422467 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.00 Prob > F = 0.9611 R-squared = 0.0000 Root MSE = .42896 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0016017 .0328472 0.05 0.961 -.0628119 .0660154 _cons | .2419814 .009903 24.44 0.000 .2225616 .2614012 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_SO | 406 .1600985 .3671498 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_SO | 2,099 .3425441 .4746735 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 19.01023 33.95644 .5598418 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 75.85 Prob > F = 0.0000 R-squared = 0.0210 Root MSE = .45899 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.1824455 .0209486 -8.71 0.000 -.2235238 -.1413672 _cons | .3425441 .0103624 33.06 0.000 .3222244 .3628637 -------------------------------------------------------------------------------- Linear regression Number of obs = 127 F(3, 126) = 3.79 Prob > F = 0.0121 R-squared = 0.0714 Root MSE = .42512 (Std. Err. adjusted for 127 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.2481038 .1494993 -1.66 0.099 -.5439585 .047751 MV1_female | -.0073306 .0117657 -0.62 0.534 -.0306146 .0159534 femaleXMV1_female | .0208146 .0142549 1.46 0.147 -.0073955 .0490247 _cons | .2909547 .1313775 2.21 0.029 .0309626 .5509469 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,222 missing values generated) (62,277 missing values generated) (55 real changes made) (sum of wgt is 242.5370236635208) Linear regression Number of obs = 127 F(3, 126) = 1.16 Prob > F = 0.3266 R-squared = 0.0380 Root MSE = .4355 (Std. Err. adjusted for 127 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0432932 .1600652 -0.27 0.787 -.3600576 .2734712 MV1_female | -.0134949 .0110398 -1.22 0.224 -.0353422 .0083525 femaleXMV1_female | .0300441 .0162397 1.85 0.067 -.0020938 .0621821 _cons | .1356083 .110214 1.23 0.221 -.0825018 .3537185 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.13 Prob > F = 0.7158 R-squared = 0.0004 Root MSE = .46949 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0178104 .0489066 0.36 0.716 -.0780958 .1137167 _cons | .3187099 .0105004 30.35 0.000 .2981186 .3393013 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_WE | 406 .4384236 .4968061 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_WE | 2,099 .1767508 .3815486 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 18.90098 32.04971 .5897395 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 101.25 Prob > F = 0.0000 R-squared = 0.0543 Root MSE = .40244 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .2616728 .0260055 10.06 0.000 .2106782 .3126674 _cons | .1767508 .0083294 21.22 0.000 .1604176 .193084 -------------------------------------------------------------------------------- Linear regression Number of obs = 127 F(3, 126) = 5.77 Prob > F = 0.0010 R-squared = 0.1132 Root MSE = .43818 (Std. Err. adjusted for 127 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .3290819 .1589571 2.07 0.040 .0145104 .6436533 MV1_female | .0040867 .0096838 0.42 0.674 -.0150772 .0232506 femaleXMV1_female | -.0113089 .0141841 -0.80 0.427 -.0393788 .016761 _cons | .1677913 .1106649 1.52 0.132 -.0512113 .3867939 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,222 missing values generated) (62,277 missing values generated) (55 real changes made) (sum of wgt is 242.5370236635208) Linear regression Number of obs = 127 F(3, 126) = 1.00 Prob > F = 0.3953 R-squared = 0.0374 Root MSE = .44965 (Std. Err. adjusted for 127 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0883901 .2355645 -0.38 0.708 -.5545653 .377785 MV1_female | .0200479 .0160853 1.25 0.215 -.0117845 .0518803 femaleXMV1_female | -.026602 .0184893 -1.44 0.153 -.0631917 .0099876 _cons | .4561909 .2106997 2.17 0.032 .0392224 .8731595 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.01 Prob > F = 0.9148 R-squared = 0.0000 Root MSE = .41827 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0030387 .0283915 -0.11 0.915 -.0587146 .0526372 _cons | .2272995 .0104247 21.80 0.000 .2068567 .2477424 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_black | 406 17.3828 18.74459 .5531912 70.98532 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_black | 2,099 15.86604 18.78622 .0918472 92.06912 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 12.34153 24.28682 .5081577 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 2.23 Prob > F = 0.1356 R-squared = 0.0009 Root MSE = 18.779 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 1.516759 1.015957 1.49 0.136 -.4754431 3.508961 _cons | 15.86604 .4101127 38.69 0.000 15.06184 16.67023 -------------------------------------------------------------------------------- Linear regression Number of obs = 78 F(3, 77) = 1.48 Prob > F = 0.2277 R-squared = 0.0323 Root MSE = 8.8049 (Std. Err. adjusted for 78 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -4.554973 2.875292 -1.58 0.117 -10.28041 1.170466 MV1_female | .0198694 .4130907 0.05 0.962 -.8026993 .8424381 femaleXMV1_female | .4275456 .573829 0.75 0.458 -.715094 1.570185 _cons | 8.825744 2.391927 3.69 0.000 4.062809 13.58868 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,273 missing values generated) (62,302 missing values generated) (29 real changes made) (sum of wgt is 155.9862657785416) Linear regression Number of obs = 76 F(3, 75) = 2.33 Prob > F = 0.0811 R-squared = 0.1314 Root MSE = 8.226 (Std. Err. adjusted for 76 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .4855981 3.748304 0.13 0.897 -6.981406 7.952602 MV1_female | -1.064316 .5647997 -1.88 0.063 -2.189455 .0608223 femaleXMV1_female | 1.526605 .7190356 2.12 0.037 .0942127 2.958998 _cons | 3.956179 3.244507 1.22 0.227 -2.507209 10.41957 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.12 Prob > F = 0.7294 R-squared = 0.0002 Root MSE = 18.176 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .4519693 1.306585 0.35 0.729 -2.110252 3.014191 _cons | 15.38915 .444899 34.59 0.000 14.5167 16.2616 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_urban | 406 89.05026 19.25993 5.86981 100 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_urban | 2,099 74.31197 27.83106 0 100.0476 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 26.4943 46.91317 .5647518 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 169.53 Prob > F = 0.0000 R-squared = 0.0400 Root MSE = 26.632 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 14.73829 1.131933 13.02 0.000 12.51867 16.95791 _cons | 74.31197 .607566 122.31 0.000 73.12059 75.50336 -------------------------------------------------------------------------------- Linear regression Number of obs = 174 F(3, 173) = 2.36 Prob > F = 0.0730 R-squared = 0.0420 Root MSE = 26.388 (Std. Err. adjusted for 174 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 7.320225 7.858315 0.93 0.353 -8.190292 22.83074 MV1_female | .3152997 .4244993 0.74 0.459 -.5225649 1.153164 femaleXMV1_female | -.4108697 .5509951 -0.75 0.457 -1.498408 .6766687 _cons | 72.67374 6.343747 11.46 0.000 60.15263 85.19484 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,175 missing values generated) (62,256 missing values generated) (81 real changes made) (sum of wgt is 437.1416748762131) Linear regression Number of obs = 174 F(3, 173) = 1.47 Prob > F = 0.2251 R-squared = 0.0873 Root MSE = 24.434 (Std. Err. adjusted for 174 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 5.838675 9.771045 0.60 0.551 -13.44713 25.12448 MV1_female | -1.054445 .5377441 -1.96 0.051 -2.115828 .0069393 femaleXMV1_female | 1.332276 .6714954 1.98 0.049 .0068979 2.657654 _cons | 65.63284 6.759434 9.71 0.000 52.29126 78.97442 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.04 Prob > F = 0.8359 R-squared = 0.0001 Root MSE = 26.567 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .5406382 2.609028 0.21 0.836 -4.575683 5.656959 _cons | 75.49526 .6246611 120.86 0.000 74.27029 76.72022 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_for_born | 406 17.31354 13.76209 .5351791 56.02679 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_for_born | 2,099 9.734637 10.66096 .3678524 58.51513 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 19.0928 35.60761 .5361999 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 110.49 Prob > F = 0.0000 R-squared = 0.0584 Root MSE = 11.221 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 7.578904 .7210261 10.51 0.000 6.165035 8.992773 _cons | 9.734637 .2327341 41.83 0.000 9.278266 10.19101 -------------------------------------------------------------------------------- Linear regression Number of obs = 127 F(3, 126) = 2.68 Prob > F = 0.0500 R-squared = 0.0539 Root MSE = 7.5201 (Std. Err. adjusted for 127 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 2.85204 2.811772 1.01 0.312 -2.712375 8.416454 MV1_female | .013257 .1313676 0.10 0.920 -.2467155 .2732296 femaleXMV1_female | .0462065 .2683457 0.17 0.864 -.4848418 .5772548 _cons | 6.110107 1.657907 3.69 0.000 2.829157 9.391057 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,222 missing values generated) (62,277 missing values generated) (55 real changes made) (sum of wgt is 242.5370236635208) Linear regression Number of obs = 127 F(3, 126) = 0.41 Prob > F = 0.7450 R-squared = 0.0103 Root MSE = 6.8823 (Std. Err. adjusted for 127 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.8857439 2.813651 -0.31 0.753 -6.453876 4.682388 MV1_female | .1265516 .1700111 0.74 0.458 -.2098954 .4629987 femaleXMV1_female | -.0734351 .2472681 -0.30 0.767 -.5627714 .4159011 _cons | 8.312692 2.124996 3.91 0.000 4.107388 12.518 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.40 Prob > F = 0.5294 R-squared = 0.0004 Root MSE = 10.59 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.4447716 .707084 -0.63 0.529 -1.831368 .9418246 _cons | 9.959139 .2731258 36.46 0.000 9.423537 10.49474 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_age_o~65 | 406 12.16274 3.641203 5.899971 25.36679 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_age_o~65 | 2,099 13.85395 4.100731 5.573297 38.99562 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 16.26278 32.89846 .4943326 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 70.42 Prob > F = 0.0000 R-squared = 0.0234 Root MSE = 4.0299 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -1.691215 .2015333 -8.39 0.000 -2.086404 -1.296026 _cons | 13.85395 .089521 154.76 0.000 13.67841 14.0295 -------------------------------------------------------------------------------- Linear regression Number of obs = 109 F(3, 108) = 0.59 Prob > F = 0.6198 R-squared = 0.0166 Root MSE = 3.6459 (Std. Err. adjusted for 109 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -1.42491 1.453342 -0.98 0.329 -4.305686 1.455866 MV1_female | .1408839 .1067749 1.32 0.190 -.0707624 .3525303 femaleXMV1_female | -.1190949 .1533792 -0.78 0.439 -.4231192 .1849293 _cons | 14.29358 1.100266 12.99 0.000 12.11266 16.4745 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,240 missing values generated) (62,287 missing values generated) (47 real changes made) (sum of wgt is 208.1918572187424) Linear regression Number of obs = 109 F(3, 108) = 0.15 Prob > F = 0.9318 R-squared = 0.0054 Root MSE = 3.6656 (Std. Err. adjusted for 109 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0387868 1.696287 0.02 0.982 -3.323549 3.401122 MV1_female | .0593009 .1409744 0.42 0.675 -.2201348 .3387366 femaleXMV1_female | -.1051404 .1873056 -0.56 0.576 -.4764127 .2661319 _cons | 13.24404 1.406933 9.41 0.000 10.45525 16.03282 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.41 Prob > F = 0.5225 R-squared = 0.0006 Root MSE = 4.0248 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .2043267 .3194976 0.64 0.523 -.4222102 .8308636 _cons | 13.78637 .0941073 146.50 0.000 13.60182 13.97091 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lninc | 406 10.25197 .3325923 9.42521 11.00342 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lninc | 2,099 10.15636 .3193754 9.040027 11.03544 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 24.49054 45.16008 .542305 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 28.51 Prob > F = 0.0000 R-squared = 0.0119 Root MSE = .32155 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0956114 .0179057 5.34 0.000 .0604999 .1307228 _cons | 10.15636 .0069721 1456.71 0.000 10.14269 10.17003 -------------------------------------------------------------------------------- Linear regression Number of obs = 168 F(3, 167) = 2.79 Prob > F = 0.0422 R-squared = 0.0486 Root MSE = .32589 (Std. Err. adjusted for 168 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .167231 .0978511 1.71 0.089 -.0259536 .3604157 MV1_female | .002668 .0042969 0.62 0.536 -.0058152 .0111512 femaleXMV1_female | -.0094277 .0069434 -1.36 0.176 -.0231359 .0042804 _cons | 10.28299 .0657501 156.40 0.000 10.15318 10.4128 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,181 missing values generated) (62,261 missing values generated) (80 real changes made) (sum of wgt is 395.1519755125046) Linear regression Number of obs = 168 F(3, 167) = 3.46 Prob > F = 0.0177 R-squared = 0.0895 Root MSE = .2925 (Std. Err. adjusted for 168 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0228418 .1019018 -0.22 0.823 -.2240236 .1783399 MV1_female | .0123477 .0045931 2.69 0.008 .0032796 .0214157 femaleXMV1_female | -.0197713 .007165 -2.76 0.006 -.033917 -.0056256 _cons | 10.40818 .0708929 146.82 0.000 10.26822 10.54814 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.07 Prob > F = 0.7935 R-squared = 0.0001 Root MSE = .32011 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0062555 .0238913 0.26 0.793 -.0405955 .0531065 _cons | 10.17413 .0076593 1328.33 0.000 10.15911 10.18915 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lnpden | 406 .5788697 7.333087 -12.46987 10.70349 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lnpden | 2,099 1.260644 7.275962 -12.60133 11.07475 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 25.71774 44.09332 .583257 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 2.95 Prob > F = 0.0859 R-squared = 0.0012 Root MSE = 7.2852 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.6817744 .3968092 -1.72 0.086 -1.459882 .0963333 _cons | 1.260644 .1588379 7.94 0.000 .9491771 1.572111 -------------------------------------------------------------------------------- Linear regression Number of obs = 171 F(3, 170) = 1.40 Prob > F = 0.2433 R-squared = 0.0259 Root MSE = 7.118 (Std. Err. adjusted for 171 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 3.561887 2.276787 1.56 0.120 -.93253 8.056303 MV1_female | -.0915691 .114089 -0.80 0.423 -.3167827 .1336444 femaleXMV1_female | .0735691 .1495351 0.49 0.623 -.2216156 .3687538 _cons | -.9845527 1.799779 -0.55 0.585 -4.537347 2.568242 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,178 missing values generated) (62,259 missing values generated) (81 real changes made) (sum of wgt is 421.8151891231537) Linear regression Number of obs = 171 F(3, 170) = 2.30 Prob > F = 0.0788 R-squared = 0.1041 Root MSE = 6.4642 (Std. Err. adjusted for 171 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 3.226048 2.586142 1.25 0.214 -1.879039 8.331136 MV1_female | -.3377322 .1332087 -2.54 0.012 -.6006885 -.0747759 femaleXMV1_female | .3687147 .1747383 2.11 0.036 .0237784 .713651 _cons | -1.880193 1.981254 -0.95 0.344 -5.791221 2.030835 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 1.69 Prob > F = 0.1941 R-squared = 0.0018 Root MSE = 6.9911 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .5988209 .4610152 1.30 0.194 -.3052329 1.502875 _cons | 1.361601 .1703726 7.99 0.000 1.0275 1.695703 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lag_demsha~1 | 283 .6791362 .1388131 .3295456 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lag_demsha~1 | 1,347 .6771273 .1547428 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 314 ----------------------+---------------------- NN matches = 3 Number of obs | 124 190 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 79.922 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 20.91037 37.63249 .5556469 ---------------------------------------------- Linear regression Number of obs = 1,630 F(1, 1629) = 0.05 Prob > F = 0.8283 R-squared = 0.0000 Root MSE = .1521 (Std. Err. adjusted for 1,630 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0020088 .0092583 0.22 0.828 -.0161507 .0201683 _cons | .6771273 .0042173 160.56 0.000 .6688555 .6853992 -------------------------------------------------------------------------------- Linear regression Number of obs = 104 F(3, 103) = 4.72 Prob > F = 0.0040 R-squared = 0.0927 Root MSE = .11824 (Std. Err. adjusted for 104 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0474663 .0495478 -0.96 0.340 -.1457326 .0508001 MV1_female | -.0044144 .0035299 -1.25 0.214 -.011415 .0025863 femaleXMV1_female | .0099039 .0039436 2.51 0.014 .0020827 .0177251 _cons | .5151016 .0451621 11.41 0.000 .4255333 .6046699 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,207 missing values generated) (62,274 missing values generated) (67 real changes made) (sum of wgt is 198.6848473548889) Linear regression Number of obs = 104 F(3, 103) = 3.43 Prob > F = 0.0198 R-squared = 0.1034 Root MSE = .11238 (Std. Err. adjusted for 104 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0402696 .0422165 -0.95 0.342 -.1239962 .0434569 MV1_female | -.0049606 .0026202 -1.89 0.061 -.0101572 .000236 femaleXMV1_female | .0102598 .0034566 2.97 0.004 .0034044 .0171152 _cons | .5066278 .0297376 17.04 0.000 .4476502 .5656054 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 2,936.12477052212) Linear regression Number of obs = 1,507 F(1, 1506) = 1.46 Prob > F = 0.2273 R-squared = 0.0025 Root MSE = .14398 (Std. Err. adjusted for 1,507 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0143632 .0118908 -1.21 0.227 -.0376875 .0089612 _cons | .6720363 .0042567 157.88 0.000 .6636867 .680386 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- DSpndPct | 406 77.00303 21.17986 16.42093 100 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- DSpndPct | 2,099 76.46546 21.21605 1.008516 100 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 19.39009 33.22381 .5836202 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 0.22 Prob > F = 0.6396 R-squared = 0.0001 Root MSE = 21.21 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .5375762 1.147853 0.47 0.640 -1.713263 2.788415 _cons | 76.46546 .4631571 165.10 0.000 75.55725 77.37367 -------------------------------------------------------------------------------- Linear regression Number of obs = 132 F(3, 131) = 6.72 Prob > F = 0.0003 R-squared = 0.1296 Root MSE = 15.243 (Std. Err. adjusted for 132 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 1.308589 5.317168 0.25 0.806 -9.210037 11.82722 MV1_female | -1.135932 .3299941 -3.44 0.001 -1.788739 -.4831248 femaleXMV1_female | 1.912082 .4573326 4.18 0.000 1.007369 2.816795 _cons | 51.9528 4.137506 12.56 0.000 43.76782 60.13777 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,217 missing values generated) (62,276 missing values generated) (59 real changes made) (sum of wgt is 251.1230635643005) Linear regression Number of obs = 132 F(3, 131) = 6.13 Prob > F = 0.0006 R-squared = 0.1482 Root MSE = 16.117 (Std. Err. adjusted for 132 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 1.586105 6.108227 0.26 0.796 -10.49743 13.66964 MV1_female | -1.22438 .3657725 -3.35 0.001 -1.947965 -.5007946 femaleXMV1_female | 2.257123 .5539307 4.07 0.000 1.161316 3.35293 _cons | 50.573 4.645661 10.89 0.000 41.38278 59.76323 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.00 Prob > F = 0.9913 R-squared = 0.0000 Root MSE = 21.072 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0208834 1.906945 -0.01 0.991 -3.760414 3.718647 _cons | 77.97594 .4839214 161.13 0.000 77.02697 78.92491 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- absMV | 360 .3881601 .2442152 .0002862 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- absMV | 1,918 .3957318 .2765471 6.32e-06 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 8.797248 17.89746 .4915361 ---------------------------------------------- Linear regression Number of obs = 2,278 F(1, 2277) = 0.28 Prob > F = 0.5972 R-squared = 0.0001 Root MSE = .2717 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0075717 .0143263 -0.53 0.597 -.0356657 .0205222 _cons | .3957318 .0063157 62.66 0.000 .3833466 .4081169 -------------------------------------------------------------------------------- Linear regression Number of obs = 57 F(1, 56) = . Prob > F = . R-squared = 1.0000 Root MSE = 0 (Std. Err. adjusted for 57 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -9.78e-10 6.82e-10 -1.43 0.157 -2.34e-09 3.88e-10 MV1_female | -.01 1.58e-10 -6.3e+07 0.000 -.01 -.01 femaleXMV1_female | .02 2.00e-10 1.0e+08 0.000 .02 .02 _cons | 1.13e-09 5.75e-10 1.96 0.055 -2.54e-11 2.28e-09 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,303 missing values generated) (62,321 missing values generated) (18 real changes made) (sum of wgt is 83.31954264640808) Linear regression Number of obs = 46 F(0, 45) = . Prob > F = . R-squared = 1.0000 Root MSE = 0 (Std. Err. adjusted for 46 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -2.20e-11 6.59e-10 -0.03 0.974 -1.35e-09 1.30e-09 MV1_female | -.01 2.10e-10 -4.8e+07 0.000 -.01 -.01 femaleXMV1_female | .02 2.26e-10 8.9e+07 0.000 .02 .02 _cons | 2.33e-10 5.84e-10 0.40 0.692 -9.43e-10 1.41e-09 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.87 Prob > F = 0.3506 R-squared = 0.0015 Root MSE = .26014 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0199567 .0213769 -0.93 0.351 -.0618768 .0219635 _cons | .3944121 .0061082 64.57 0.000 .382434 .4063903 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_de~t | 406 1 0 1 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_de~t | 2,099 1 0 1 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | . . . ---------------------------------------------- Linear regression Number of obs = 2,505 F(0, 2504) = . Prob > F = . R-squared = . Root MSE = 0 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 0 (omitted) _cons | 1 . . . . . -------------------------------------------------------------------------------- Linear regression Number of obs = 443 F(0, 442) = . Prob > F = . R-squared = . Root MSE = 0 (Std. Err. adjusted for 443 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 0 (omitted) MV1_female | 0 (omitted) femaleXMV1_female | 0 (omitted) _cons | 1 . . . . . ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (59,844 missing values generated) (61,943 missing values generated) (2,099 real changes made) (sum of wgt is 2,048.71384584904) Linear regression Number of obs = 443 F(0, 442) = . Prob > F = . R-squared = . Root MSE = 0 (Std. Err. adjusted for 443 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 0 (omitted) MV1_female | 0 (omitted) femaleXMV1_female | 0 (omitted) _cons | 1 . . . . . ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(0, 2277) = . Prob > F = . R-squared = . Root MSE = 0 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 0 (omitted) _cons | 1 . . . . . -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_te~n | 406 4.273399 2.882323 1 14 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_te~n | 2,099 6.089566 4.024067 1 20 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 21.79687 37.17605 .5863149 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 117.19 Prob > F = 0.0000 R-squared = 0.0292 Root MSE = 3.8623 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -1.816167 .1677665 -10.83 0.000 -2.145143 -1.487192 _cons | 6.089566 .0878474 69.32 0.000 5.917305 6.261827 -------------------------------------------------------------------------------- Linear regression Number of obs = 151 F(3, 150) = 7.15 Prob > F = 0.0002 R-squared = 0.1190 Root MSE = 3.418 (Std. Err. adjusted for 151 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -2.676662 1.291898 -2.07 0.040 -5.22933 -.1239944 MV1_female | -.0388796 .0912483 -0.43 0.671 -.2191776 .1414183 femaleXMV1_female | .1144888 .099849 1.15 0.253 -.0828034 .311781 _cons | 4.242741 1.217849 3.48 0.001 1.836387 6.649096 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,198 missing values generated) (62,268 missing values generated) (70 real changes made) (sum of wgt is 284.1177639961243) Linear regression Number of obs = 151 F(3, 150) = 2.47 Prob > F = 0.0642 R-squared = 0.0699 Root MSE = 3.4809 (Std. Err. adjusted for 151 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -2.783788 1.781715 -1.56 0.120 -6.304289 .7367126 MV1_female | .029284 .102475 0.29 0.775 -.1731968 .2317649 femaleXMV1_female | .0359696 .1249299 0.29 0.774 -.2108801 .2828193 _cons | 4.841621 1.538066 3.15 0.002 1.802548 7.880693 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 49.34 Prob > F = 0.0000 R-squared = 0.0570 Root MSE = 3.5002 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -1.72098 .2450054 -7.02 0.000 -2.201437 -1.240522 _cons | 6.070381 .0958763 63.31 0.000 5.882367 6.258395 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_ro~e | 406 .1945813 .3963665 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_ro~e | 2,099 .1157694 .3200245 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 26.8765 43.33226 .6202423 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 14.27 Prob > F = 0.0002 R-squared = 0.0075 Root MSE = .33356 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0788119 .0208597 3.78 0.000 .0379079 .1197158 _cons | .1157694 .0069863 16.57 0.000 .1020699 .1294689 -------------------------------------------------------------------------------- Linear regression Number of obs = 176 F(3, 175) = 17.45 Prob > F = 0.0000 R-squared = 0.1945 Root MSE = .43204 (Std. Err. adjusted for 176 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .203544 .1405733 1.45 0.149 -.0738931 .4809812 MV1_female | .022086 .0061517 3.59 0.000 .0099448 .0342271 femaleXMV1_female | -.0512433 .0079885 -6.41 0.000 -.0670095 -.0354772 _cons | .5729098 .1117317 5.13 0.000 .3523947 .7934249 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,173 missing values generated) (62,255 missing values generated) (82 real changes made) (sum of wgt is 412.1031347513199) Linear regression Number of obs = 176 F(3, 175) = 19.25 Prob > F = 0.0000 R-squared = 0.2636 Root MSE = .38462 (Std. Err. adjusted for 176 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .1079615 .1599631 0.67 0.501 -.2077436 .4236666 MV1_female | .0265726 .005969 4.45 0.000 .0147921 .038353 femaleXMV1_female | -.0561523 .0079979 -7.02 0.000 -.0719372 -.0403675 _cons | .638868 .1245047 5.13 0.000 .3931439 .8845921 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 5.05 Prob > F = 0.0248 R-squared = 0.0088 Root MSE = .35967 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0677433 .0301515 2.25 0.025 .0086161 .1268706 _cons | .120071 .007551 15.90 0.000 .1052634 .1348786 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_age | 406 55.92857 9.328164 32 80 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_age | 2,099 54.2182 10.2064 27 89 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 20.61596 34.72755 .5936484 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 11.10 Prob > F = 0.0009 R-squared = 0.0039 Root MSE = 10.069 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 1.710372 .5134291 3.33 0.001 .7035831 2.717161 _cons | 54.2182 .2228109 243.34 0.000 53.78129 54.65511 -------------------------------------------------------------------------------- Linear regression Number of obs = 141 F(3, 140) = 0.28 Prob > F = 0.8362 R-squared = 0.0073 Root MSE = 9.8848 (Std. Err. adjusted for 141 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -2.38749 3.545334 -0.67 0.502 -9.396806 4.621826 MV1_female | .1795434 .2212086 0.81 0.418 -.2577979 .6168847 femaleXMV1_female | -.1168287 .2794807 -0.42 0.677 -.6693771 .4357196 _cons | 54.19895 3.060051 17.71 0.000 48.14907 60.24884 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,208 missing values generated) (62,274 missing values generated) (66 real changes made) (sum of wgt is 266.5230338573456) Linear regression Number of obs = 141 F(3, 140) = 0.76 Prob > F = 0.5162 R-squared = 0.0288 Root MSE = 10.346 (Std. Err. adjusted for 141 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -6.54846 4.743498 -1.38 0.170 -15.92661 2.82969 MV1_female | .3454094 .2778911 1.24 0.216 -.2039964 .8948151 femaleXMV1_female | -.1571626 .3532457 -0.44 0.657 -.8555483 .5412232 _cons | 57.04776 4.056904 14.06 0.000 49.02704 65.06848 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 0.06 Prob > F = 0.8052 R-squared = 0.0001 Root MSE = 10.011 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .2102685 .8523543 0.25 0.805 -1.461204 1.881741 _cons | 54.36084 .2393726 227.10 0.000 53.89143 54.83026 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- leader | 406 .0394089 .1948057 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- leader | 2,099 .1124345 .3159755 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 24.75523 48.9977 .5052325 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 37.85 Prob > F = 0.0000 R-squared = 0.0080 Root MSE = .29971 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0730256 .01187 -6.15 0.000 -.0963016 -.0497496 _cons | .1124345 .0068979 16.30 0.000 .0989083 .1259607 -------------------------------------------------------------------------------- Linear regression Number of obs = 168 F(1, 167) = . Prob > F = . R-squared = 0.0347 Root MSE = .16898 (Std. Err. adjusted for 168 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0771668 .0715221 -1.08 0.282 -.2183708 .0640373 MV1_female | .0010868 .0047227 0.23 0.818 -.008237 .0104106 femaleXMV1_female | -.0010868 .0047227 -0.23 0.818 -.0104106 .008237 _cons | .0771668 .0715221 1.08 0.282 -.0640373 .2183708 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,181 missing values generated) (62,261 missing values generated) (80 real changes made) (sum of wgt is 395.1519755125046) Linear regression Number of obs = 168 F(1, 167) = . Prob > F = . R-squared = 0.4070 Root MSE = .32845 (Std. Err. adjusted for 168 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .1721967 .177941 0.97 0.335 -.179107 .5235004 MV1_female | -.0336418 .0178686 -1.88 0.061 -.0689192 .0016356 femaleXMV1_female | .0336418 .0178686 1.88 0.061 -.0016356 .0689192 _cons | -.1721967 .177941 -0.97 0.335 -.5235004 .179107 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 152.20 Prob > F = 0.0000 R-squared = 0.0485 Root MSE = .23921 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.1079928 .0087536 -12.34 0.000 -.1251586 -.090827 _cons | .1185493 .0076757 15.44 0.000 .1034972 .1336015 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- borninstate | 404 .4777228 .5001228 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- borninstate | 2,097 .687649 .4635626 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 441 ----------------------+---------------------- NN matches = 3 Number of obs | 173 268 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 16.93986 30.89231 .5483518 ---------------------------------------------- Linear regression Number of obs = 2,501 F(1, 2500) = 61.16 Prob > F = 0.0000 R-squared = 0.0264 Root MSE = .46965 (Std. Err. adjusted for 2,501 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.2099263 .0268437 -7.82 0.000 -.2625645 -.157288 _cons | .687649 .0101246 67.92 0.000 .6677955 .7075026 -------------------------------------------------------------------------------- Linear regression Number of obs = 111 F(3, 110) = 3.52 Prob > F = 0.0174 R-squared = 0.0866 Root MSE = .48653 (Std. Err. adjusted for 111 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.1796074 .1874881 -0.96 0.340 -.5511649 .1919501 MV1_female | -.0085887 .0135068 -0.64 0.526 -.0353561 .0181787 femaleXMV1_female | .0041967 .0188449 0.22 0.824 -.0331494 .0415428 _cons | .6057014 .1412134 4.29 0.000 .3258495 .8855532 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,237 missing values generated) (62,285 missing values generated) (48 real changes made) (sum of wgt is 212.3814735412598) Linear regression Number of obs = 111 F(3, 110) = 0.99 Prob > F = 0.3993 R-squared = 0.0317 Root MSE = .49903 (Std. Err. adjusted for 111 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .1135741 .2548591 0.45 0.657 -.3914968 .618645 MV1_female | -.018651 .018124 -1.03 0.306 -.0545684 .0172664 femaleXMV1_female | .0105693 .0235931 0.45 0.655 -.0361866 .0573252 _cons | .4475369 .2125813 2.11 0.038 .0262507 .868823 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,543.05243098736) Linear regression Number of obs = 2,274 F(1, 2273) = 5.04 Prob > F = 0.0248 R-squared = 0.0094 Root MSE = .48087 (Std. Err. adjusted for 2,274 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0935067 .0416326 -2.25 0.025 -.1751487 -.0118648 _cons | .6762651 .0109653 61.67 0.000 .6547621 .6977681 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- ivycoll | 404 .0594059 .236676 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- ivycoll | 2,088 .1283525 .334562 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 441 ----------------------+---------------------- NN matches = 3 Number of obs | 173 268 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 18.9682 34.07182 .5567124 ---------------------------------------------- Linear regression Number of obs = 2,492 F(1, 2491) = 24.75 Prob > F = 0.0000 R-squared = 0.0062 Root MSE = .32075 (Std. Err. adjusted for 2,492 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0689465 .013858 -4.98 0.000 -.096121 -.0417721 _cons | .1283525 .0073229 17.53 0.000 .1139929 .142712 -------------------------------------------------------------------------------- Linear regression Number of obs = 126 F(3, 125) = 4.14 Prob > F = 0.0078 R-squared = 0.1107 Root MSE = .34296 (Std. Err. adjusted for 126 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0798235 .1318502 -0.61 0.546 -.3407713 .1811244 MV1_female | -.0119607 .0111621 -1.07 0.286 -.034052 .0101306 femaleXMV1_female | .0093927 .01199 0.78 0.435 -.014337 .0331225 _cons | .1589593 .1200082 1.32 0.188 -.0785519 .3964705 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,222 missing values generated) (62,277 missing values generated) (55 real changes made) (sum of wgt is 241.3792873620987) Linear regression Number of obs = 126 F(3, 125) = 3.91 Prob > F = 0.0104 R-squared = 0.1186 Root MSE = .32313 (Std. Err. adjusted for 126 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0032405 .1134223 -0.03 0.977 -.2277172 .2212362 MV1_female | -.0165452 .0108525 -1.52 0.130 -.0380236 .0049332 femaleXMV1_female | .0137487 .0113761 1.21 0.229 -.008766 .0362634 _cons | .0688481 .1035689 0.66 0.507 -.1361276 .2738239 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,528.18498110771) Linear regression Number of obs = 2,265 F(1, 2264) = 20.76 Prob > F = 0.0000 R-squared = 0.0156 Root MSE = .28855 (Std. Err. adjusted for 2,265 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.072501 .0159105 -4.56 0.000 -.1037016 -.0413004 _cons | .1295167 .0078221 16.56 0.000 .1141775 .144856 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ0 | 404 .2821782 .4506177 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ0 | 2,097 .2060086 .4045332 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 441 ----------------------+---------------------- NN matches = 3 Number of obs | 173 268 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 17.95023 35.57032 .5046405 ---------------------------------------------- Linear regression Number of obs = 2,501 F(1, 2500) = 10.01 Prob > F = 0.0016 R-squared = 0.0046 Root MSE = .41231 (Std. Err. adjusted for 2,501 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0761696 .0240798 3.16 0.002 .0289513 .123388 _cons | .2060086 .0088354 23.32 0.000 .1886832 .223334 -------------------------------------------------------------------------------- Linear regression Number of obs = 118 F(3, 117) = 0.95 Prob > F = 0.4206 R-squared = 0.0264 Root MSE = .34368 (Std. Err. adjusted for 118 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0418849 .1028058 -0.41 0.684 -.2454865 .1617166 MV1_female | -.0041219 .0077265 -0.53 0.595 -.0194238 .0111801 femaleXMV1_female | .0173473 .0113462 1.53 0.129 -.0051232 .0398177 _cons | .0787704 .0783043 1.01 0.317 -.0763073 .233848 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,230 missing values generated) (62,282 missing values generated) (52 real changes made) (sum of wgt is 225.9936149120331) Linear regression Number of obs = 118 F(3, 117) = 1.04 Prob > F = 0.3795 R-squared = 0.0287 Root MSE = .31669 (Std. Err. adjusted for 118 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.040186 .082548 -0.49 0.627 -.2036681 .1232961 MV1_female | -.0054614 .0068461 -0.80 0.427 -.0190198 .008097 femaleXMV1_female | .0185127 .0107761 1.72 0.088 -.0028289 .0398542 _cons | .0511178 .0611257 0.84 0.405 -.0699385 .1721741 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,543.05243098736) Linear regression Number of obs = 2,274 F(1, 2273) = 6.26 Prob > F = 0.0124 R-squared = 0.0120 Root MSE = .43158 (Std. Err. adjusted for 2,274 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0951537 .0380326 2.50 0.012 .0205714 .169736 _cons | .2042009 .0093296 21.89 0.000 .1859056 .2224963 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ1 | 404 .220297 .4149608 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ1 | 2,097 .1044349 .3058968 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 441 ----------------------+---------------------- NN matches = 3 Number of obs | 173 268 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 25.78999 43.29577 .5956699 ---------------------------------------------- Linear regression Number of obs = 2,501 F(1, 2500) = 28.55 Prob > F = 0.0000 R-squared = 0.0168 Root MSE = .32596 (Std. Err. adjusted for 2,501 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .1158621 .0216827 5.34 0.000 .0733442 .1583801 _cons | .1044349 .0066811 15.63 0.000 .0913339 .1175359 -------------------------------------------------------------------------------- Linear regression Number of obs = 171 F(3, 170) = 0.53 Prob > F = 0.6610 R-squared = 0.0096 Root MSE = .39277 (Std. Err. adjusted for 171 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0591286 .1213649 0.49 0.627 -.1804477 .298705 MV1_female | -.0014722 .0061384 -0.24 0.811 -.0135894 .010645 femaleXMV1_female | .0040521 .0084588 0.48 0.633 -.0126457 .02075 _cons | .1298388 .0915149 1.42 0.158 -.0508131 .3104906 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,177 missing values generated) (62,258 missing values generated) (81 real changes made) (sum of wgt is 414.8836518526077) Linear regression Number of obs = 171 F(3, 170) = 0.64 Prob > F = 0.5934 R-squared = 0.0223 Root MSE = .37034 (Std. Err. adjusted for 171 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0815386 .1439559 -0.57 0.572 -.36571 .2026328 MV1_female | .0064262 .007474 0.86 0.391 -.0083276 .0211799 femaleXMV1_female | -.0023754 .0093872 -0.25 0.801 -.0209059 .0161551 _cons | .2428513 .1225301 1.98 0.049 .0009748 .4847277 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,543.05243098736) Linear regression Number of obs = 2,274 F(1, 2273) = 8.34 Prob > F = 0.0039 R-squared = 0.0143 Root MSE = .35312 (Std. Err. adjusted for 2,274 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0850189 .0294371 2.89 0.004 .0272926 .1427452 _cons | .1059521 .0071596 14.80 0.000 .091912 .1199921 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ2 | 404 .1113861 .3149998 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ2 | 2,097 .3738674 .4839445 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 441 ----------------------+---------------------- NN matches = 3 Number of obs | 173 268 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 25.28954 47.06263 .5373593 ---------------------------------------------- Linear regression Number of obs = 2,501 F(1, 2500) = 193.03 Prob > F = 0.0000 R-squared = 0.0421 Root MSE = .46091 (Std. Err. adjusted for 2,501 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.2624813 .0188922 -13.89 0.000 -.2995272 -.2254353 _cons | .3738674 .0105698 35.37 0.000 .353141 .3945939 -------------------------------------------------------------------------------- Linear regression Number of obs = 168 F(3, 167) = 3.52 Prob > F = 0.0164 R-squared = 0.0644 Root MSE = .39758 (Std. Err. adjusted for 168 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.1103658 .1279991 -0.86 0.390 -.3630706 .142339 MV1_female | -.0053975 .0070997 -0.76 0.448 -.0194143 .0086192 femaleXMV1_female | .004127 .0088097 0.47 0.640 -.0132657 .0215197 _cons | .2385829 .10668 2.24 0.027 .0279678 .4491981 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,180 missing values generated) (62,261 missing values generated) (81 real changes made) (sum of wgt is 401.4037017822266) Linear regression Number of obs = 168 F(3, 167) = 1.53 Prob > F = 0.2093 R-squared = 0.0344 Root MSE = .36714 (Std. Err. adjusted for 168 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.2110289 .1449198 -1.46 0.147 -.49714 .0750821 MV1_female | .0108114 .0074829 1.44 0.150 -.0039618 .0255845 femaleXMV1_female | -.0138261 .0092579 -1.49 0.137 -.0321037 .0044515 _cons | .3718553 .1187019 3.13 0.002 .1375056 .606205 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,543.05243098736) Linear regression Number of obs = 2,274 F(1, 2273) = 114.34 Prob > F = 0.0000 R-squared = 0.0968 Root MSE = .40439 (Std. Err. adjusted for 2,274 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.2646982 .0247542 -10.69 0.000 -.3132414 -.216155 _cons | .3693569 .011178 33.04 0.000 .3474367 .391277 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ3 | 404 .0420792 .2010188 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ3 | 2,097 .0567477 .2314151 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 441 ----------------------+---------------------- NN matches = 3 Number of obs | 173 268 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 16.34282 32.46955 .5033277 ---------------------------------------------- Linear regression Number of obs = 2,501 F(1, 2500) = 1.72 Prob > F = 0.1903 R-squared = 0.0006 Root MSE = .22679 (Std. Err. adjusted for 2,501 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0146685 .0111982 -1.31 0.190 -.0366272 .0072902 _cons | .0567477 .0050543 11.23 0.000 .0468367 .0666588 -------------------------------------------------------------------------------- Linear regression Number of obs = 108 F(3, 107) = 0.68 Prob > F = 0.5641 R-squared = 0.0141 Root MSE = .24912 (Std. Err. adjusted for 108 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0306422 .0792694 -0.39 0.700 -.1877845 .1265001 MV1_female | -.0033927 .0079575 -0.43 0.671 -.0191676 .0123821 femaleXMV1_female | .0109607 .0099276 1.10 0.272 -.0087196 .0306409 _cons | .0360969 .070153 0.51 0.608 -.1029732 .175167 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,240 missing values generated) (62,287 missing values generated) (47 real changes made) (sum of wgt is 207.0634707212448) Linear regression Number of obs = 108 F(3, 107) = 0.48 Prob > F = 0.6983 R-squared = 0.0135 Root MSE = .23601 (Std. Err. adjusted for 108 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .011993 .0621343 0.19 0.847 -.111181 .135167 MV1_female | -.0021644 .0052078 -0.42 0.679 -.0124883 .0081594 femaleXMV1_female | .0074352 .0073145 1.02 0.312 -.007065 .0219354 _cons | .0204873 .0450683 0.45 0.650 -.0688553 .1098299 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,543.05243098736) Linear regression Number of obs = 2,274 F(1, 2273) = 0.87 Prob > F = 0.3524 R-squared = 0.0008 Root MSE = .22261 (Std. Err. adjusted for 2,274 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0128359 .0137994 -0.93 0.352 -.0398966 .0142248 _cons | .0586974 .0055832 10.51 0.000 .0477488 .069646 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ4 | 404 .0940594 .2922733 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ4 | 2,097 .096805 .2957625 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 441 ----------------------+---------------------- NN matches = 3 Number of obs | 173 268 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 16.99013 33.73861 .5035811 ---------------------------------------------- Linear regression Number of obs = 2,501 F(1, 2500) = 0.03 Prob > F = 0.8629 R-squared = 0.0000 Root MSE = .2952 (Std. Err. adjusted for 2,501 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0027456 .0159003 -0.17 0.863 -.0339246 .0284335 _cons | .096805 .0064597 14.99 0.000 .084138 .1094719 -------------------------------------------------------------------------------- Linear regression Number of obs = 111 F(3, 110) = 4.08 Prob > F = 0.0086 R-squared = 0.0432 Root MSE = .32036 (Std. Err. adjusted for 111 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .2644872 .0950438 2.78 0.006 .0761328 .4528417 MV1_female | -.0143089 .0071693 -2.00 0.048 -.0285169 -.000101 femaleXMV1_female | .0039363 .0107754 0.37 0.716 -.0174179 .0252905 _cons | -.0400944 .0282968 -1.42 0.159 -.096172 .0159833 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,237 missing values generated) (62,285 missing values generated) (48 real changes made) (sum of wgt is 212.3814735412598) Linear regression Number of obs = 111 F(3, 110) = 3.71 Prob > F = 0.0137 R-squared = 0.0536 Root MSE = .29902 (Std. Err. adjusted for 111 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .2768312 .1016505 2.72 0.008 .0753837 .4782786 MV1_female | -.0118486 .0060748 -1.95 0.054 -.0238875 .0001903 femaleXMV1_female | -.0005971 .0101408 -0.06 0.953 -.0206938 .0194997 _cons | -.0347774 .0236444 -1.47 0.144 -.0816351 .0120804 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,543.05243098736) Linear regression Number of obs = 2,274 F(1, 2273) = 7.97 Prob > F = 0.0048 R-squared = 0.0054 Root MSE = .27401 (Std. Err. adjusted for 2,274 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0403584 .0142977 -2.82 0.005 -.0683964 -.0123204 _cons | .1023325 .0070378 14.54 0.000 .0885313 .1161337 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ6 | 404 .2425743 .4291712 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ6 | 2,097 .1478302 .3550163 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 441 ----------------------+---------------------- NN matches = 3 Number of obs | 173 268 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 20.31589 39.4304 .5152342 ---------------------------------------------- Linear regression Number of obs = 2,501 F(1, 2500) = 17.42 Prob > F = 0.0000 R-squared = 0.0089 Root MSE = .36799 (Std. Err. adjusted for 2,501 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .094744 .0226995 4.17 0.000 .0502322 .1392558 _cons | .1478302 .0077539 19.07 0.000 .1326255 .1630349 -------------------------------------------------------------------------------- Linear regression Number of obs = 135 F(3, 134) = 1.73 Prob > F = 0.1648 R-squared = 0.0364 Root MSE = .44449 (Std. Err. adjusted for 135 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.2156556 .1636467 -1.32 0.190 -.5393202 .1080089 MV1_female | .0196501 .0088788 2.21 0.029 .0020895 .0372108 femaleXMV1_female | -.0243041 .0127514 -1.91 0.059 -.0495241 .0009159 _cons | .5136527 .1263852 4.06 0.000 .2636848 .7636207 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,213 missing values generated) (62,274 missing values generated) (61 real changes made) (sum of wgt is 256.4801567792892) Linear regression Number of obs = 135 F(3, 134) = 1.02 Prob > F = 0.3872 R-squared = 0.0226 Root MSE = .44496 (Std. Err. adjusted for 135 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0961868 .1836159 -0.52 0.601 -.4593471 .2669735 MV1_female | .014933 .0095858 1.56 0.122 -.0040261 .0338921 femaleXMV1_female | -.0194856 .014608 -1.33 0.184 -.0483777 .0094064 _cons | .4188879 .1379192 3.04 0.003 .1461078 .6916679 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,543.05243098736) Linear regression Number of obs = 2,274 F(1, 2273) = 9.39 Prob > F = 0.0022 R-squared = 0.0316 Root MSE = .40683 (Std. Err. adjusted for 2,274 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .1468586 .0479133 3.07 0.002 .0529003 .240817 _cons | .1451375 .0081876 17.73 0.000 .1290816 .1611935 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- black | 406 .229064 .420749 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- black | 2,099 .1276798 .3338125 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 174 269 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.685 99.971 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 8.587376 21.22002 .4046829 ---------------------------------------------- Linear regression Number of obs = 2,505 F(1, 2504) = 21.05 Prob > F = 0.0000 R-squared = 0.0113 Root MSE = .34935 (Std. Err. adjusted for 2,505 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .1013842 .0221 4.59 0.000 .0580479 .1447204 _cons | .1276798 .0072873 17.52 0.000 .1133901 .1419696 -------------------------------------------------------------------------------- Linear regression Number of obs = 54 F(2, 53) = . Prob > F = . R-squared = 0.0783 Root MSE = .13451 (Std. Err. adjusted for 54 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0417509 .0413145 -1.01 0.317 -.1246173 .0411155 MV1_female | -2.91e-17 6.80e-17 -0.43 0.670 -1.66e-16 1.07e-16 femaleXMV1_female | .0182539 .0177494 1.03 0.308 -.0173468 .0538546 _cons | -5.20e-17 . . . . . ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,304 missing values generated) (62,322 missing values generated) (18 real changes made) (sum of wgt is 82.0562139749527) Linear regression Number of obs = 45 F(2, 44) = . Prob > F = . R-squared = 0.0580 Root MSE = .11355 (Std. Err. adjusted for 45 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0364273 .0376501 -0.97 0.339 -.1123061 .0394515 MV1_female | -4.86e-17 . . . . . femaleXMV1_female | .0141495 .0144026 0.98 0.331 -.014877 .0431761 _cons | -1.72e-16 . . . . . ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,071 missing values generated) (61,989 missing values generated) (1,918 real changes made) (sum of wgt is 4,580.99417161942) Linear regression Number of obs = 2,278 F(1, 2277) = 2.18 Prob > F = 0.1398 R-squared = 0.0025 Root MSE = .35145 (Std. Err. adjusted for 2,278 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .034992 .0236876 1.48 0.140 -.0114595 .0814434 _cons | .1270208 .0080342 15.81 0.000 .1112658 .1427759 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_NE | 184 .1847826 .3891801 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_NE | 2,089 .1574916 .3643509 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 14.12141 21.99806 .6419388 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 0.84 Prob > F = 0.3585 R-squared = 0.0004 Root MSE = .36641 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .027291 .029715 0.92 0.358 -.0309803 .0855623 _cons | .1574916 .0079733 19.75 0.000 .1418559 .1731273 -------------------------------------------------------------------------------- Linear regression Number of obs = 115 F(3, 114) = 0.15 Prob > F = 0.9274 R-squared = 0.0037 Root MSE = .38509 (Std. Err. adjusted for 115 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0193799 .1421861 -0.14 0.892 -.3010494 .2622897 MV1_female | -.0027413 .010439 -0.26 0.793 -.0234208 .0179382 femaleXMV1_female | .0013705 .0163649 0.08 0.933 -.0310482 .0337891 _cons | .167561 .0804937 2.08 0.040 .0081037 .3270184 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,237 missing values generated) (62,320 missing values generated) (83 real changes made) (sum of wgt is 211.366708278656) Linear regression Number of obs = 112 F(3, 111) = 0.32 Prob > F = 0.8088 R-squared = 0.0107 Root MSE = .36227 (Std. Err. adjusted for 112 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .061935 .1938653 0.32 0.750 -.3222221 .446092 MV1_female | -.0028828 .0104877 -0.27 0.784 -.0236648 .0178993 femaleXMV1_female | -.0083291 .0212204 -0.39 0.695 -.0503787 .0337205 _cons | .1513872 .0785513 1.93 0.057 -.0042674 .3070418 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 0.17 Prob > F = 0.6818 R-squared = 0.0002 Root MSE = .36378 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0114997 .0280433 -0.41 0.682 -.066495 .0434955 _cons | .1624387 .0084287 19.27 0.000 .1459093 .1789682 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_MW | 184 .201087 .4019065 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_MW | 2,089 .2589756 .4381771 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 13.4907 26.39683 .5110725 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 3.47 Prob > F = 0.0626 R-squared = 0.0013 Root MSE = .43537 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0578886 .0310776 -1.86 0.063 -.1188321 .0030549 _cons | .2589756 .0095889 27.01 0.000 .2401717 .2777795 -------------------------------------------------------------------------------- Linear regression Number of obs = 110 F(3, 109) = 7.91 Prob > F = 0.0001 R-squared = 0.0682 Root MSE = .42834 (Std. Err. adjusted for 110 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.3892076 .1086135 -3.58 0.001 -.604476 -.1739392 MV1_female | .0139482 .0127339 1.10 0.276 -.0112901 .0391865 femaleXMV1_female | -.0054724 .0148335 -0.37 0.713 -.0348719 .023927 _cons | .4038671 .103182 3.91 0.000 .1993637 .6083705 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,241 missing values generated) (62,322 missing values generated) (81 real changes made) (sum of wgt is 204.4997228384018) Linear regression Number of obs = 108 F(3, 107) = 2.01 Prob > F = 0.1171 R-squared = 0.0696 Root MSE = .4487 (Std. Err. adjusted for 108 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.3644887 .1561854 -2.33 0.021 -.674108 -.0548695 MV1_female | .0176363 .0114544 1.54 0.127 -.0050708 .0403434 femaleXMV1_female | .0240992 .0285083 0.85 0.400 -.0324152 .0806137 _cons | .3842564 .0987887 3.89 0.000 .1884192 .5800935 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 0.61 Prob > F = 0.4345 R-squared = 0.0016 Root MSE = .45006 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0365458 .0467547 0.78 0.435 -.055144 .1282356 _cons | .2647438 .0099689 26.56 0.000 .245194 .2842937 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_SO | 184 .375 .4854439 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_SO | 2,089 .3729057 .4836931 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 18.97725 30.86898 .6147675 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 0.00 Prob > F = 0.9552 R-squared = 0.0000 Root MSE = .48383 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0020943 .0372416 0.06 0.955 -.0709369 .0751255 _cons | .3729057 .0105849 35.23 0.000 .3521486 .3936628 -------------------------------------------------------------------------------- Linear regression Number of obs = 169 F(3, 168) = 1.20 Prob > F = 0.3109 R-squared = 0.0263 Root MSE = .41692 (Std. Err. adjusted for 169 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0820601 .1721357 0.48 0.634 -.2577677 .421888 MV1_female | -.0025151 .0069014 -0.36 0.716 -.0161397 .0111095 femaleXMV1_female | .0109776 .0152994 0.72 0.474 -.0192263 .0411814 _cons | .1642572 .074982 2.19 0.030 .0162288 .3122856 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,180 missing values generated) (62,307 missing values generated) (127 real changes made) (sum of wgt is 336.6105136871338) Linear regression Number of obs = 169 F(3, 168) = 0.45 Prob > F = 0.7158 R-squared = 0.0114 Root MSE = .40993 (Std. Err. adjusted for 169 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .053371 .168537 0.32 0.752 -.2793523 .3860942 MV1_female | -.0002119 .0085162 -0.02 0.980 -.0170244 .0166007 femaleXMV1_female | -.0088215 .0134775 -0.65 0.514 -.0354285 .0177855 _cons | .2346972 .0948438 2.47 0.014 .0474579 .4219364 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 0.29 Prob > F = 0.5918 R-squared = 0.0006 Root MSE = .47523 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.022734 .0423908 -0.54 0.592 -.1058659 .060398 _cons | .3553473 .0109113 32.57 0.000 .3339494 .3767452 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_WE | 184 .2391304 .4277164 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_WE | 2,089 .2106271 .4078516 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 20.14776 32.00386 .6295418 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 0.76 Prob > F = 0.3835 R-squared = 0.0004 Root MSE = .40949 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0285033 .0327013 0.87 0.384 -.0356242 .0926308 _cons | .2106271 .0089252 23.60 0.000 .1931246 .2281296 -------------------------------------------------------------------------------- Linear regression Number of obs = 187 F(3, 186) = 1.29 Prob > F = 0.2788 R-squared = 0.0224 Root MSE = .4742 (Std. Err. adjusted for 187 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .332718 .1737485 1.91 0.057 -.0100531 .6754891 MV1_female | -.0034931 .0065744 -0.53 0.596 -.0164631 .0094769 femaleXMV1_female | -.0127916 .0133446 -0.96 0.339 -.0391178 .0135346 _cons | .2767499 .079765 3.47 0.001 .1193896 .4341103 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,162 missing values generated) (62,302 missing values generated) (140 real changes made) (sum of wgt is 371.3206034898758) Linear regression Number of obs = 187 F(3, 186) = 1.74 Prob > F = 0.1611 R-squared = 0.0388 Root MSE = .45131 (Std. Err. adjusted for 187 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .2357373 .1822044 1.29 0.197 -.1237155 .5951901 MV1_female | -.0049604 .0070289 -0.71 0.481 -.0188269 .0089061 femaleXMV1_female | -.0153811 .0129625 -1.19 0.237 -.0409534 .0101912 _cons | .2705892 .0828468 3.27 0.001 .1071491 .4340293 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 0.00 Prob > F = 0.9450 R-squared = 0.0000 Root MSE = .41195 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0023121 .0335119 -0.07 0.945 -.0680317 .0634075 _cons | .2174702 .0094132 23.10 0.000 .1990101 .2359302 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_black | 184 5.361712 4.461962 .1025148 21.52691 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_black | 2,089 7.169979 7.862419 .0669269 64.15747 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 21.83817 32.70763 .6676783 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 23.81 Prob > F = 0.0000 R-squared = 0.0041 Root MSE = 7.6446 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -1.808267 .3705566 -4.88 0.000 -2.534932 -1.081602 _cons | 7.169979 .1720577 41.67 0.000 6.832572 7.507385 -------------------------------------------------------------------------------- Linear regression Number of obs = 210 F(3, 209) = 0.38 Prob > F = 0.7677 R-squared = 0.0054 Root MSE = 6.9434 (Std. Err. adjusted for 210 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -2.454149 2.378443 -1.03 0.303 -7.142962 2.234664 MV1_female | .0313453 .0826454 0.38 0.705 -.1315801 .1942707 femaleXMV1_female | .0757056 .1626319 0.47 0.642 -.2449036 .3963148 _cons | 6.329846 1.113833 5.68 0.000 4.134058 8.525634 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,139 missing values generated) (62,296 missing values generated) (157 real changes made) (sum of wgt is 421.1004084348679) Linear regression Number of obs = 210 F(3, 209) = 0.80 Prob > F = 0.4931 R-squared = 0.0172 Root MSE = 5.9617 (Std. Err. adjusted for 210 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -3.204226 2.1211 -1.51 0.132 -7.385719 .9772664 MV1_female | .0616302 .0810815 0.76 0.448 -.0982121 .2214725 femaleXMV1_female | .104952 .1490347 0.70 0.482 -.188852 .3987559 _cons | 6.543225 1.146155 5.71 0.000 4.283718 8.802732 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 4.30 Prob > F = 0.0383 R-squared = 0.0070 Root MSE = 6.484 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -1.089022 .5253261 -2.07 0.038 -2.119231 -.0588138 _cons | 6.940044 .1687079 41.14 0.000 6.609194 7.270895 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_urban | 184 72.86839 22.00755 0 100 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_urban | 2,089 64.0084 25.93384 0 100 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 18.99772 31.70903 .5991263 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 26.68 Prob > F = 0.0000 R-squared = 0.0088 Root MSE = 25.64 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 8.859986 1.715321 5.17 0.000 5.496228 12.22374 _cons | 64.0084 .5675247 112.79 0.000 62.89548 65.12132 -------------------------------------------------------------------------------- Linear regression Number of obs = 169 F(3, 168) = 0.46 Prob > F = 0.7119 R-squared = 0.0081 Root MSE = 26.971 (Std. Err. adjusted for 169 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -8.167029 9.569389 -0.85 0.395 -27.05878 10.72472 MV1_female | .4633779 .4320328 1.07 0.285 -.3895349 1.316291 femaleXMV1_female | -.2932616 .806096 -0.36 0.716 -1.884644 1.298121 _cons | 71.73153 4.816157 14.89 0.000 62.22355 81.23952 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,180 missing values generated) (62,307 missing values generated) (127 real changes made) (sum of wgt is 336.6105136871338) Linear regression Number of obs = 169 F(3, 168) = 1.51 Prob > F = 0.2133 R-squared = 0.0569 Root MSE = 26.534 (Std. Err. adjusted for 169 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -12.08042 10.96813 -1.10 0.272 -33.73355 9.572703 MV1_female | .5923561 .4246274 1.40 0.165 -.2459369 1.430649 femaleXMV1_female | .6115209 .9544146 0.64 0.523 -1.27267 2.495712 _cons | 72.5665 4.538456 15.99 0.000 63.60675 81.52625 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 0.08 Prob > F = 0.7780 R-squared = 0.0003 Root MSE = 26.501 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .9133202 3.238724 0.28 0.778 -5.438088 7.264728 _cons | 65.07086 .5844339 111.34 0.000 63.92474 66.21699 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_for_born | 184 9.492086 12.39576 .6645144 56.85267 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_for_born | 2,089 6.103415 6.6542 .2187925 56.585 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 11.94153 23.59652 .5060719 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 13.47 Prob > F = 0.0002 R-squared = 0.0159 Root MSE = 7.2864 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 3.388671 .9232973 3.67 0.000 1.578077 5.199265 _cons | 6.103415 .1456176 41.91 0.000 5.817857 6.388972 -------------------------------------------------------------------------------- Linear regression Number of obs = 103 F(3, 102) = 1.01 Prob > F = 0.3933 R-squared = 0.0170 Root MSE = 5.7686 (Std. Err. adjusted for 103 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -3.16848 2.207743 -1.44 0.154 -7.547527 1.210568 MV1_female | .0167201 .2221093 0.08 0.940 -.4238327 .4572729 femaleXMV1_female | .2711764 .3010959 0.90 0.370 -.3260459 .8683986 _cons | 7.639938 1.497142 5.10 0.000 4.670364 10.60951 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,248 missing values generated) (62,324 missing values generated) (76 real changes made) (sum of wgt is 189.225909948349) Linear regression Number of obs = 101 F(3, 100) = 0.29 Prob > F = 0.8294 R-squared = 0.0165 Root MSE = 5.1974 (Std. Err. adjusted for 101 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -1.810359 2.525782 -0.72 0.475 -6.821438 3.20072 MV1_female | -.0216841 .2012692 -0.11 0.914 -.4209964 .3776282 femaleXMV1_female | .2802369 .3498817 0.80 0.425 -.4139185 .9743922 _cons | 7.138418 1.373457 5.20 0.000 4.413518 9.863319 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 0.01 Prob > F = 0.9325 R-squared = 0.0000 Root MSE = 7.5723 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0479289 .5654446 0.08 0.932 -1.060955 1.156813 _cons | 6.369005 .1673018 38.07 0.000 6.040912 6.697098 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_age_o~65 | 184 13.46869 4.778687 7.605162 38.99562 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- pct_age_o~65 | 2,089 13.38523 4.310861 4.116681 43.80611 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 10.50729 21.63653 .4856275 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 0.05 Prob > F = 0.8186 R-squared = 0.0000 Root MSE = 4.3504 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0834669 .3639252 0.23 0.819 -.6301936 .7971273 _cons | 13.38523 .094337 141.89 0.000 13.20023 13.57022 -------------------------------------------------------------------------------- Linear regression Number of obs = 88 F(3, 87) = 0.50 Prob > F = 0.6861 R-squared = 0.0333 Root MSE = 4.0357 (Std. Err. adjusted for 88 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -1.777918 1.92425 -0.92 0.358 -5.602573 2.046736 MV1_female | .2260918 .2194733 1.03 0.306 -.2101353 .6623188 femaleXMV1_female | -.2949437 .3717651 -0.79 0.430 -1.033867 .4439797 _cons | 14.80157 1.511391 9.79 0.000 11.79751 17.80562 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,263 missing values generated) (62,329 missing values generated) (66 real changes made) (sum of wgt is 144.9738084077835) Linear regression Number of obs = 86 F(3, 85) = 0.26 Prob > F = 0.8534 R-squared = 0.0227 Root MSE = 4.1954 (Std. Err. adjusted for 86 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.7031855 2.072564 -0.34 0.735 -4.823998 3.417627 MV1_female | .1466083 .2036579 0.72 0.474 -.2583182 .5515349 femaleXMV1_female | -.302429 .4174869 -0.72 0.471 -1.132505 .5276468 _cons | 14.14991 1.379888 10.25 0.000 11.40633 16.8935 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 0.18 Prob > F = 0.6681 R-squared = 0.0003 Root MSE = 4.3385 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.1467012 .342083 -0.43 0.668 -.8175546 .5241522 _cons | 13.4518 .1016227 132.37 0.000 13.25251 13.65109 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lninc | 184 10.29361 .3553059 9.595807 11.06974 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lninc | 2,089 10.26055 .3131215 9.356862 11.05996 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 16.32716 28.27446 .5774526 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 1.50 Prob > F = 0.2212 R-squared = 0.0008 Root MSE = .31673 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0330635 .0270171 1.22 0.221 -.0199173 .0860442 _cons | 10.26055 .0068522 1497.41 0.000 10.24711 10.27399 -------------------------------------------------------------------------------- Linear regression Number of obs = 138 F(3, 137) = 4.29 Prob > F = 0.0063 R-squared = 0.0670 Root MSE = .30856 (Std. Err. adjusted for 138 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0972852 .1334927 -0.73 0.467 -.3612577 .1666874 MV1_female | .0103738 .0064885 1.60 0.112 -.0024568 .0232045 femaleXMV1_female | -.025608 .012233 -2.09 0.038 -.0497979 -.0014182 _cons | 10.42955 .0619232 168.43 0.000 10.3071 10.552 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,215 missing values generated) (62,316 missing values generated) (101 real changes made) (sum of wgt is 260.8832830190659) Linear regression Number of obs = 134 F(3, 133) = 0.88 Prob > F = 0.4554 R-squared = 0.0164 Root MSE = .30281 (Std. Err. adjusted for 134 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0074831 .1695417 0.04 0.965 -.3278639 .3428301 MV1_female | .0091218 .0059818 1.52 0.130 -.0027099 .0209535 femaleXMV1_female | -.0157173 .0165076 -0.95 0.343 -.0483687 .0169342 _cons | 10.40444 .0597514 174.13 0.000 10.28626 10.52263 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 0.00 Prob > F = 0.9803 R-squared = 0.0000 Root MSE = .32526 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0006953 .0282082 -0.02 0.980 -.0560139 .0546232 _cons | 10.26302 .0072109 1423.27 0.000 10.24888 10.27716 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lnpden | 184 -1.144714 7.831109 -13.14081 9.09557 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lnpden | 2,089 -.1682557 7.281027 -14.67538 11.20875 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 9.474291 16.23306 .5836416 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 2.67 Prob > F = 0.1024 R-squared = 0.0013 Root MSE = 7.3269 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.976458 .5976312 -1.63 0.102 -2.148418 .1955019 _cons | -.1682557 .1593348 -1.06 0.291 -.4807126 .1442012 -------------------------------------------------------------------------------- Linear regression Number of obs = 75 F(3, 74) = 0.06 Prob > F = 0.9790 R-squared = 0.0029 Root MSE = 7.3266 (Std. Err. adjusted for 75 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .2655498 3.784574 0.07 0.944 -7.275379 7.806478 MV1_female | .0512777 .3757846 0.14 0.892 -.6974895 .8000448 femaleXMV1_female | -.2718949 .7339454 -0.37 0.712 -1.734313 1.190523 _cons | 1.022718 1.947871 0.53 0.601 -2.858499 4.903935 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,281 missing values generated) (62,333 missing values generated) (52 real changes made) (sum of wgt is 109.1740713119507) Linear regression Number of obs = 68 F(3, 67) = 0.23 Prob > F = 0.8773 R-squared = 0.0138 Root MSE = 6.6608 (Std. Err. adjusted for 68 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -2.602894 3.711816 -0.70 0.486 -10.01171 4.805922 MV1_female | .1787394 .3993982 0.45 0.656 -.6184628 .9759417 femaleXMV1_female | .1967857 .6731622 0.29 0.771 -1.146852 1.540423 _cons | 3.075511 2.024285 1.52 0.133 -.9649797 7.116001 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 1.45 Prob > F = 0.2284 R-squared = 0.0029 Root MSE = 7.4545 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.8063438 .6692916 -1.20 0.228 -2.118881 .506193 _cons | -.1602632 .1669582 -0.96 0.337 -.4876822 .1671557 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lag_demsha~1 | 133 .3699059 .1320743 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- lag_demsha~1 | 1,441 .346 .1447142 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 327 ----------------------+---------------------- NN matches = 3 Number of obs | 235 92 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 54.543 54.334 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 16.49337 25.52374 .6461974 ---------------------------------------------- Linear regression Number of obs = 1,574 F(1, 1573) = 3.94 Prob > F = 0.0472 R-squared = 0.0021 Root MSE = .1437 (Std. Err. adjusted for 1,574 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0239059 .0120364 1.99 0.047 .0002967 .0475151 _cons | .346 .0038133 90.73 0.000 .3385202 .3534797 -------------------------------------------------------------------------------- Linear regression Number of obs = 111 F(3, 110) = 1.49 Prob > F = 0.2206 R-squared = 0.0280 Root MSE = .12527 (Std. Err. adjusted for 111 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0721987 .0536843 1.34 0.181 -.034191 .1785883 MV1_female | .0002548 .0035352 0.07 0.943 -.0067512 .0072609 femaleXMV1_female | -.00388 .0046578 -0.83 0.407 -.0131107 .0053506 _cons | .4030738 .0379383 10.62 0.000 .327889 .4782586 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,209 missing values generated) (62,315 missing values generated) (106 real changes made) (sum of wgt is 203.6852586269379) Linear regression Number of obs = 111 F(3, 110) = 1.40 Prob > F = 0.2475 R-squared = 0.0417 Root MSE = .11138 (Std. Err. adjusted for 111 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0605082 .0571671 1.06 0.292 -.0527836 .1737999 MV1_female | .0003151 .003433 0.09 0.927 -.0064883 .0071186 femaleXMV1_female | -.0026794 .0052636 -0.51 0.612 -.0131107 .0077519 _cons | .4007019 .0364905 10.98 0.000 .3283862 .4730175 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 2,910.36614406109) Linear regression Number of obs = 1,469 F(1, 1468) = 2.10 Prob > F = 0.1472 R-squared = 0.0044 Root MSE = .13104 (Std. Err. adjusted for 1,469 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0173652 .0119731 1.45 0.147 -.0061211 .0408514 _cons | .3516022 .0038353 91.68 0.000 .3440791 .3591254 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- DSpndPct | 184 26.82783 20.82941 0 86.03178 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- DSpndPct | 2,089 25.44121 21.20946 0 99.50506 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 14.48487 24.08867 .6013147 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 0.75 Prob > F = 0.3865 R-squared = 0.0003 Root MSE = 21.179 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 1.386623 1.600823 0.87 0.386 -1.752604 4.52585 _cons | 25.44121 .4641384 54.81 0.000 24.53103 26.35138 -------------------------------------------------------------------------------- Linear regression Number of obs = 119 F(3, 118) = 2.70 Prob > F = 0.0489 R-squared = 0.0556 Root MSE = 15.573 (Std. Err. adjusted for 119 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .5624016 6.134425 0.09 0.927 -11.58543 12.71023 MV1_female | .8113177 .4040695 2.01 0.047 .0111502 1.611485 femaleXMV1_female | -1.822137 .6862951 -2.66 0.009 -3.181188 -.4630857 _cons | 47.1701 2.924933 16.13 0.000 41.37794 52.96227 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,233 missing values generated) (62,318 missing values generated) (85 real changes made) (sum of wgt is 219.0719569921494) Linear regression Number of obs = 116 F(3, 115) = 3.02 Prob > F = 0.0327 R-squared = 0.0682 Root MSE = 14.009 (Std. Err. adjusted for 116 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .1086454 5.452608 0.02 0.984 -10.69192 10.90921 MV1_female | .7197987 .4188709 1.72 0.088 -.1099039 1.549501 femaleXMV1_female | -1.750416 .6521998 -2.68 0.008 -3.042298 -.4585334 _cons | 47.58229 3.038204 15.66 0.000 41.56419 53.60038 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 3.03 Prob > F = 0.0816 R-squared = 0.0064 Root MSE = 20.838 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 3.34438 1.919802 1.74 0.082 -.4205115 7.109271 _cons | 23.79666 .4726035 50.35 0.000 22.86985 24.72348 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- absMV | 180 .2878502 .2175798 .001182 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- absMV | 1,941 .3365989 .2457196 .0003493 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 11.1804 16.73819 .6679579 ---------------------------------------------- Linear regression Number of obs = 2,121 F(1, 2120) = 8.11 Prob > F = 0.0044 R-squared = 0.0031 Root MSE = .24347 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0487487 .0171146 -2.85 0.004 -.082312 -.0151855 _cons | .3365989 .0055785 60.34 0.000 .3256589 .3475389 -------------------------------------------------------------------------------- Linear regression Number of obs = 96 F(0, 95) = . Prob > F = . R-squared = 1.0000 Root MSE = 0 (Std. Err. adjusted for 96 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 5.73e-10 4.55e-10 1.26 0.211 -3.30e-10 1.48e-09 MV1_female | -.01 9.28e-11 -1.1e+08 0.000 -.01 -.01 femaleXMV1_female | .02 1.27e-10 1.6e+08 0.000 .02 .02 _cons | -3.83e-10 3.33e-10 -1.15 0.253 -1.04e-09 2.78e-10 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,255 missing values generated) (62,325 missing values generated) (70 real changes made) (sum of wgt is 175.9364014863968) Linear regression Number of obs = 94 F(1, 93) = . Prob > F = . R-squared = 1.0000 Root MSE = 0 (Std. Err. adjusted for 94 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 2.47e-10 4.99e-10 0.49 0.622 -7.44e-10 1.24e-09 MV1_female | -.01 8.56e-11 -1.2e+08 0.000 -.01 -.01 femaleXMV1_female | .02 1.14e-10 1.7e+08 0.000 .02 .02 _cons | -4.20e-10 3.14e-10 -1.34 0.184 -1.04e-09 2.03e-10 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 0.28 Prob > F = 0.5979 R-squared = 0.0008 Root MSE = .23934 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0132413 .0251042 -0.53 0.598 -.0624728 .0359901 _cons | .3321642 .0054573 60.87 0.000 .321462 .3428663 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_de~t | 184 0 0 0 0 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_de~t | 2,089 0 0 0 0 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | . . . ---------------------------------------------- Linear regression Number of obs = 2,273 F(0, 2272) = . Prob > F = . R-squared = . Root MSE = 0 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 0 (omitted) _cons | 0 (omitted) -------------------------------------------------------------------------------- Linear regression Number of obs = 455 F(0, 454) = . Prob > F = . R-squared = . Root MSE = 0 (Std. Err. adjusted for 455 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 0 (omitted) MV1_female | 0 (omitted) femaleXMV1_female | 0 (omitted) _cons | 0 (omitted) ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,076 missing values generated) (62,165 missing values generated) (2,089 real changes made) (sum of wgt is 1,914.27638936043) Linear regression Number of obs = 455 F(0, 454) = . Prob > F = . R-squared = . Root MSE = 0 (Std. Err. adjusted for 455 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 0 (omitted) MV1_female | 0 (omitted) femaleXMV1_female | 0 (omitted) _cons | 0 (omitted) ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(0, 2120) = . Prob > F = . R-squared = . Root MSE = 0 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 0 (omitted) _cons | 0 (omitted) -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_te~n | 184 4.016304 2.53818 1 12 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_te~n | 2,089 5.182384 3.58981 1 20 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 15.10671 26.15338 .5776198 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 33.14 Prob > F = 0.0000 R-squared = 0.0081 Root MSE = 3.5167 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -1.16608 .2025451 -5.76 0.000 -1.563272 -.7688869 _cons | 5.182384 .0785578 65.97 0.000 5.028331 5.336437 -------------------------------------------------------------------------------- Linear regression Number of obs = 126 F(3, 125) = 0.85 Prob > F = 0.4701 R-squared = 0.0269 Root MSE = 3.5289 (Std. Err. adjusted for 126 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .6860732 1.167849 0.59 0.558 -1.625246 2.997392 MV1_female | -.1429493 .0954338 -1.50 0.137 -.3318246 .0459259 femaleXMV1_female | .1308419 .1350344 0.97 0.334 -.1364079 .3980916 _cons | 2.69375 .7141607 3.77 0.000 1.280337 4.107163 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,226 missing values generated) (62,317 missing values generated) (91 real changes made) (sum of wgt is 238.6218556165695) Linear regression Number of obs = 123 F(3, 122) = 0.65 Prob > F = 0.5839 R-squared = 0.0178 Root MSE = 3.2186 (Std. Err. adjusted for 123 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .3612093 1.490346 0.24 0.809 -2.589079 3.311498 MV1_female | -.1257872 .0958855 -1.31 0.192 -.3156021 .0640277 femaleXMV1_female | .195558 .1761861 1.11 0.269 -.15322 .5443359 _cons | 2.571523 .7057805 3.64 0.000 1.17436 3.968686 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 55.55 Prob > F = 0.0000 R-squared = 0.0546 Root MSE = 3.0171 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -1.44991 .1945338 -7.45 0.000 -1.831408 -1.068413 _cons | 5.137329 .0821124 62.56 0.000 4.976299 5.298358 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_ro~e | 184 .173913 .3800689 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_ro~e | 2,089 .1464816 .353673 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 20.04523 31.77136 .6309215 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 0.89 Prob > F = 0.3444 R-squared = 0.0004 Root MSE = .35587 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0274315 .0290067 0.95 0.344 -.029451 .0843139 _cons | .1464816 .0077396 18.93 0.000 .1313041 .161659 -------------------------------------------------------------------------------- Linear regression Number of obs = 183 F(3, 182) = 4.07 Prob > F = 0.0080 R-squared = 0.0605 Root MSE = .46201 (Std. Err. adjusted for 183 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.2564369 .1726215 -1.49 0.139 -.5970336 .0841598 MV1_female | .0226456 .0064983 3.48 0.001 .0098239 .0354673 femaleXMV1_female | -.0219197 .0136423 -1.61 0.110 -.0488372 .0049978 _cons | .574464 .0853534 6.73 0.000 .4060547 .7428734 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,166 missing values generated) (62,303 missing values generated) (137 real changes made) (sum of wgt is 364.826892375946) Linear regression Number of obs = 183 F(3, 182) = 4.50 Prob > F = 0.0045 R-squared = 0.0555 Root MSE = .45417 (Std. Err. adjusted for 183 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.2597209 .2024682 -1.28 0.201 -.6592076 .1397658 MV1_female | .0241309 .0067159 3.59 0.000 .01088 .0373819 femaleXMV1_female | -.0305314 .015473 -1.97 0.050 -.061061 -1.83e-06 _cons | .6071401 .087275 6.96 0.000 .4349391 .779341 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 0.23 Prob > F = 0.6331 R-squared = 0.0004 Root MSE = .36817 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0148623 .0311287 0.48 0.633 -.0461837 .0759082 _cons | .154357 .0082552 18.70 0.000 .1381678 .1705462 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_age | 183 55.01639 9.489425 32 80 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- sponsor_age | 2,089 53.23169 10.0769 27 86 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 454 ----------------------+---------------------- NN matches = 3 Number of obs | 326 128 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 13.80724 23.91952 .5772371 ---------------------------------------------- Linear regression Number of obs = 2,272 F(1, 2271) = 5.92 Prob > F = 0.0151 R-squared = 0.0023 Root MSE = 10.031 (Std. Err. adjusted for 2,272 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 1.784704 .7337866 2.43 0.015 .3457415 3.223666 _cons | 53.23169 .2205186 241.39 0.000 52.79925 53.66413 -------------------------------------------------------------------------------- Linear regression Number of obs = 113 F(3, 112) = 1.75 Prob > F = 0.1615 R-squared = 0.0411 Root MSE = 10.341 (Std. Err. adjusted for 113 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 5.465748 3.508571 1.56 0.122 -1.486036 12.41753 MV1_female | -.2992678 .2921269 -1.02 0.308 -.8780799 .2795442 femaleXMV1_female | .4163619 .4424472 0.94 0.349 -.4602906 1.293014 _cons | 47.59823 2.209594 21.54 0.000 43.2202 51.97625 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,238 missing values generated) (62,321 missing values generated) (83 real changes made) (sum of wgt is 206.7682293653488) Linear regression Number of obs = 110 F(3, 109) = 1.63 Prob > F = 0.1859 R-squared = 0.1432 Root MSE = 10.709 (Std. Err. adjusted for 110 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 1.978609 4.305955 0.46 0.647 -6.555653 10.51287 MV1_female | -.3530263 .3030507 -1.16 0.247 -.953663 .2476104 femaleXMV1_female | 1.33518 .7030159 1.90 0.060 -.0581746 2.728535 _cons | 47.27579 2.337659 20.22 0.000 42.64263 51.90896 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,121.26808106899) Linear regression Number of obs = 2,120 F(1, 2119) = 4.81 Prob > F = 0.0285 R-squared = 0.0067 Root MSE = 9.4504 (Std. Err. adjusted for 2,120 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | 1.554889 .7092137 2.19 0.028 .1640611 2.945717 _cons | 53.01837 .2288479 231.68 0.000 52.56958 53.46716 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- leader | 184 .0326087 .1780948 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- leader | 2,089 .1134514 .3172197 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 14.49538 29.24782 .4956054 ---------------------------------------------- Linear regression Number of obs = 2,273 F(1, 2272) = 29.74 Prob > F = 0.0000 R-squared = 0.0051 Root MSE = .30834 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0808427 .0148251 -5.45 0.000 -.1099148 -.0517706 _cons | .1134514 .0069419 16.34 0.000 .0998383 .1270645 -------------------------------------------------------------------------------- Linear regression Number of obs = 119 F(3, 118) = 1.60 Prob > F = 0.1927 R-squared = 0.0224 Root MSE = .20179 (Std. Err. adjusted for 119 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0298025 .0491716 -0.61 0.546 -.1271757 .0675706 MV1_female | -.0067185 .0063113 -1.06 0.289 -.0192165 .0057796 femaleXMV1_female | .0146812 .0100263 1.46 0.146 -.0051735 .034536 _cons | -.0010043 .0379233 -0.03 0.979 -.0761029 .0740942 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,233 missing values generated) (62,318 missing values generated) (85 real changes made) (sum of wgt is 219.0719569921494) Linear regression Number of obs = 116 F(3, 115) = 1.52 Prob > F = 0.2137 R-squared = 0.0216 Root MSE = .16795 (Std. Err. adjusted for 116 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0311849 .0456651 -0.68 0.496 -.1216387 .0592689 MV1_female | -.0051184 .0053659 -0.95 0.342 -.0157473 .0055104 femaleXMV1_female | .0115034 .0083349 1.38 0.170 -.0050065 .0280132 _cons | .0013796 .0339528 0.04 0.968 -.0658743 .0686335 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(1, 2120) = 35.67 Prob > F = 0.0000 R-squared = 0.0278 Root MSE = .25146 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0850238 .0142358 -5.97 0.000 -.1129415 -.0571062 _cons | .1111996 .0071471 15.56 0.000 .0971834 .1252157 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- borninstate | 183 .3551913 .4798842 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- borninstate | 2,078 .686718 .4639396 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 451 ----------------------+---------------------- NN matches = 3 Number of obs | 323 128 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 21.21164 33.83736 .6268704 ---------------------------------------------- Linear regression Number of obs = 2,261 F(1, 2260) = 81.04 Prob > F = 0.0000 R-squared = 0.0364 Root MSE = .46524 (Std. Err. adjusted for 2,261 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.3315267 .0368275 -9.00 0.000 -.4037459 -.2593075 _cons | .686718 .0101795 67.46 0.000 .6667559 .7066801 -------------------------------------------------------------------------------- Linear regression Number of obs = 199 F(3, 198) = 4.33 Prob > F = 0.0055 R-squared = 0.0632 Root MSE = .48211 (Std. Err. adjusted for 199 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.3047403 .1698845 -1.79 0.074 -.6397554 .0302749 MV1_female | .0024335 .0062627 0.39 0.698 -.0099165 .0147836 femaleXMV1_female | -.0032281 .0126911 -0.25 0.799 -.0282552 .0217989 _cons | .6815286 .0818997 8.32 0.000 .5200211 .8430362 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,146 missing values generated) (62,299 missing values generated) (153 real changes made) (sum of wgt is 405.8521195650101) Linear regression Number of obs = 199 F(3, 198) = 0.68 Prob > F = 0.5662 R-squared = 0.0259 Root MSE = .49517 (Std. Err. adjusted for 199 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.2460272 .2208231 -1.11 0.267 -.6814942 .1894399 MV1_female | .0008694 .006672 0.13 0.896 -.0122879 .0140267 femaleXMV1_female | .005985 .0158655 0.38 0.706 -.0253021 .0372721 _cons | .6449601 .0883639 7.30 0.000 .4707049 .8192153 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,111.02509236336) Linear regression Number of obs = 2,109 F(1, 2108) = 87.83 Prob > F = 0.0000 R-squared = 0.1347 Root MSE = .46533 (Std. Err. adjusted for 2,109 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.3671196 .0391739 -9.37 0.000 -.4439432 -.290296 _cons | .6799798 .0106829 63.65 0.000 .6590295 .70093 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- ivycoll | 183 .0437158 .2050231 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- ivycoll | 2,068 .0749516 .263377 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 447 ----------------------+---------------------- NN matches = 3 Number of obs | 319 128 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 7.359556 20.10461 .3660631 ---------------------------------------------- Linear regression Number of obs = 2,251 F(1, 2250) = 3.72 Prob > F = 0.0539 R-squared = 0.0011 Root MSE = .25914 (Std. Err. adjusted for 2,251 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0312358 .0161926 -1.93 0.054 -.0629899 .0005183 _cons | .0749516 .0057928 12.94 0.000 .0635918 .0863115 -------------------------------------------------------------------------------- Linear regression Number of obs = 55 F(1, 54) = . Prob > F = . R-squared = 0.0403 Root MSE = .19044 (Std. Err. adjusted for 55 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0210832 .0325762 0.65 0.520 -.0442282 .0863946 MV1_female | -.0195593 .0162138 -1.21 0.233 -.052066 .0129474 femaleXMV1_female | .0195593 .0162138 1.21 0.233 -.0129474 .052066 _cons | -.0210832 .0325762 -0.65 0.520 -.0863946 .0442282 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,310 missing values generated) (62,337 missing values generated) (27 real changes made) (sum of wgt is 60.99336361885071) Linear regression Number of obs = 36 F(1, 35) = . Prob > F = . R-squared = 0.0159 Root MSE = .13461 (Std. Err. adjusted for 36 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0050861 .0143776 -0.35 0.726 -.0342742 .024102 MV1_female | -.0066349 .0086863 -0.76 0.450 -.024269 .0109991 femaleXMV1_female | .0066349 .0086863 0.76 0.450 -.0109991 .024269 _cons | .0050861 .0143776 0.35 0.726 -.024102 .0342742 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,099.81516182423) Linear regression Number of obs = 2,099 F(1, 2098) = 12.18 Prob > F = 0.0005 R-squared = 0.0098 Root MSE = .22252 (Std. Err. adjusted for 2,099 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0442178 .0126724 -3.49 0.000 -.0690696 -.019366 _cons | .0743215 .0059905 12.41 0.000 .0625737 .0860694 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ0 | 177 .1864407 .3905667 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ0 | 2,068 .1310445 .3375306 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 319 124 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 17.86732 27.10865 .6591 ---------------------------------------------- Linear regression Number of obs = 2,245 F(1, 2244) = 3.36 Prob > F = 0.0669 R-squared = 0.0019 Root MSE = .34199 (Std. Err. adjusted for 2,245 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0553962 .0302131 1.83 0.067 -.0038523 .1146447 _cons | .1310445 .0074238 17.65 0.000 .1164862 .1456027 -------------------------------------------------------------------------------- Linear regression Number of obs = 156 F(3, 155) = 1.07 Prob > F = 0.3631 R-squared = 0.0325 Root MSE = .32589 (Std. Err. adjusted for 156 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .1962526 .1649652 1.19 0.236 -.1296175 .5221228 MV1_female | .0042342 .0053197 0.80 0.427 -.0062742 .0147427 femaleXMV1_female | -.0196371 .0134486 -1.46 0.146 -.0462033 .0069292 _cons | .1418649 .0631684 2.25 0.026 .0170827 .266647 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,185 missing values generated) (62,309 missing values generated) (124 real changes made) (sum of wgt is 273.2041857242584) Linear regression Number of obs = 156 F(3, 155) = 1.65 Prob > F = 0.1804 R-squared = 0.1407 Root MSE = .36632 (Std. Err. adjusted for 156 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .4287508 .2426434 1.77 0.079 -.0505638 .9080654 MV1_female | .0044948 .0048479 0.93 0.355 -.0050817 .0140714 femaleXMV1_female | -.0304969 .0154458 -1.97 0.050 -.0610084 .0000146 _cons | .1316933 .0587962 2.24 0.027 .015548 .2478386 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,046.91350281239) Linear regression Number of obs = 2,093 F(1, 2092) = 2.74 Prob > F = 0.0983 R-squared = 0.0055 Root MSE = .35848 (Std. Err. adjusted for 2,093 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0535726 .0323884 1.65 0.098 -.0099444 .1170895 _cons | .1265051 .0075583 16.74 0.000 .1116826 .1413277 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ1 | 177 .1977401 .399425 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ1 | 2,068 .065764 .2479291 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 319 124 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 9.706917 17.47294 .5555399 ---------------------------------------------- Linear regression Number of obs = 2,245 F(1, 2244) = 18.79 Prob > F = 0.0000 R-squared = 0.0180 Root MSE = .26299 (Std. Err. adjusted for 2,245 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .1319761 .0304434 4.34 0.000 .0722759 .1916763 _cons | .065764 .0054531 12.06 0.000 .0550704 .0764576 -------------------------------------------------------------------------------- Linear regression Number of obs = 74 F(3, 73) = 0.32 Prob > F = 0.8107 R-squared = 0.0157 Root MSE = .27844 (Std. Err. adjusted for 74 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .1417388 .1648867 0.86 0.393 -.1868799 .4703575 MV1_female | -.0089902 .0132554 -0.68 0.500 -.0354081 .0174277 femaleXMV1_female | -.0021462 .0269727 -0.08 0.937 -.0559027 .0516104 _cons | .0277637 .0614532 0.45 0.653 -.0947123 .1502397 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,275 missing values generated) (62,332 missing values generated) (57 real changes made) (sum of wgt is 117.960702419281) Linear regression Number of obs = 70 F(3, 69) = 0.60 Prob > F = 0.6184 R-squared = 0.0838 Root MSE = .28093 (Std. Err. adjusted for 70 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .2976748 .2442409 1.22 0.227 -.1895725 .7849221 MV1_female | -.0060581 .0109496 -0.55 0.582 -.0279019 .0157856 femaleXMV1_female | -.0247592 .036129 -0.69 0.495 -.0968346 .0473162 _cons | .0157343 .0491852 0.32 0.750 -.0823875 .113856 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,046.91350281239) Linear regression Number of obs = 2,093 F(1, 2092) = 4.44 Prob > F = 0.0353 R-squared = 0.0070 Root MSE = .28325 (Std. Err. adjusted for 2,093 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .0474579 .0225348 2.11 0.035 .0032649 .0916509 _cons | .0657119 .005671 11.59 0.000 .0545906 .0768333 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ2 | 177 .0282486 .1661523 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ2 | 2,068 .2751451 .4466954 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 319 124 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 17.55801 31.7857 .552387 ---------------------------------------------- Linear regression Number of obs = 2,245 F(1, 2244) = 242.13 Prob > F = 0.0000 R-squared = 0.0233 Root MSE = .43133 (Std. Err. adjusted for 2,245 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.2468965 .0158667 -15.56 0.000 -.2780115 -.2157815 _cons | .2751451 .0098248 28.01 0.000 .2558784 .2944118 -------------------------------------------------------------------------------- Linear regression Number of obs = 153 F(1, 152) = . Prob > F = . R-squared = 0.0583 Root MSE = .35762 (Std. Err. adjusted for 153 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.1811667 .0715565 -2.53 0.012 -.3225403 -.039793 MV1_female | -.0025089 .0065941 -0.38 0.704 -.0155368 .010519 femaleXMV1_female | .0025089 .0065941 0.38 0.704 -.010519 .0155368 _cons | .1811667 .0715565 2.53 0.012 .039793 .3225403 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,188 missing values generated) (62,310 missing values generated) (122 real changes made) (sum of wgt is 264.7091170549393) Linear regression Number of obs = 153 F(1, 152) = . Prob > F = . R-squared = 0.0926 Root MSE = .31137 (Std. Err. adjusted for 153 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.177891 .0752659 -2.36 0.019 -.3265934 -.0291886 MV1_female | -.0021403 .0072247 -0.30 0.767 -.0164142 .0121336 femaleXMV1_female | .0021403 .0072247 0.30 0.767 -.0121336 .0164142 _cons | .177891 .0752659 2.36 0.019 .0291886 .3265934 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,046.91350281239) Linear regression Number of obs = 2,093 F(1, 2092) = 180.53 Prob > F = 0.0000 R-squared = 0.1082 Root MSE = .34313 (Std. Err. adjusted for 2,093 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.2391446 .0177984 -13.44 0.000 -.274049 -.2042401 _cons | .2714774 .010169 26.70 0.000 .251535 .2914199 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ3 | 177 0 0 0 0 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ3 | 2,068 .0667311 .2496162 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 319 124 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 18.36586 34.84331 .5270987 ---------------------------------------------- Linear regression Number of obs = 2,245 F(0, 2244) = . Prob > F = . R-squared = 0.0056 Root MSE = .23962 (Std. Err. adjusted for 2,245 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0667311 .0054902 -12.15 0.000 -.0774975 -.0559648 _cons | .0667311 .0054902 12.15 0.000 .0559648 .0774975 -------------------------------------------------------------------------------- Linear regression Number of obs = 157 F(1, 156) = . Prob > F = . R-squared = 0.0150 Root MSE = .2075 (Std. Err. adjusted for 157 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.0626349 .0427268 -1.47 0.145 -.1470327 .0217629 MV1_female | .0003934 .0037055 0.11 0.916 -.0069261 .0077129 femaleXMV1_female | -.0003934 .0037055 -0.11 0.916 -.0077129 .0069261 _cons | .0626349 .0427268 1.47 0.145 -.0217629 .1470327 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,184 missing values generated) (62,308 missing values generated) (124 real changes made) (sum of wgt is 277.0572957992554) Linear regression Number of obs = 157 F(1, 156) = . Prob > F = . R-squared = 0.0431 Root MSE = .19598 (Std. Err. adjusted for 157 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.1233001 .0793774 -1.55 0.122 -.2800933 .0334931 MV1_female | .0052644 .0058963 0.89 0.373 -.0063825 .0169112 femaleXMV1_female | -.0052644 .0058963 -0.89 0.373 -.0169112 .0063825 _cons | .1233001 .0793774 1.55 0.122 -.0334931 .2800933 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,046.91350281239) Linear regression Number of obs = 2,093 F(0, 2092) = . Prob > F = . R-squared = 0.0343 Root MSE = .18223 (Std. Err. adjusted for 2,093 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0686972 .0057823 -11.88 0.000 -.0800369 -.0573576 _cons | .0686972 .0057823 11.88 0.000 .0573576 .0800369 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ4 | 177 .1129944 .317484 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ4 | 2,068 .2770793 .4476642 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 319 124 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 17.03986 29.21458 .5832657 ---------------------------------------------- Linear regression Number of obs = 2,245 F(1, 2244) = 40.57 Prob > F = 0.0000 R-squared = 0.0101 Root MSE = .43885 (Std. Err. adjusted for 2,245 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.164085 .0257624 -6.37 0.000 -.2146057 -.1135642 _cons | .2770793 .0098461 28.14 0.000 .2577708 .2963878 -------------------------------------------------------------------------------- Linear regression Number of obs = 150 F(3, 149) = 5.53 Prob > F = 0.0013 R-squared = 0.0608 Root MSE = .44724 (Std. Err. adjusted for 150 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0695223 .1605923 0.43 0.666 -.2478103 .3868549 MV1_female | -.0142151 .0082647 -1.72 0.088 -.0305463 .0021161 femaleXMV1_female | -.0000906 .0133381 -0.01 0.995 -.0264469 .0262656 _cons | .2052935 .0849681 2.42 0.017 .0373953 .3731916 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,191 missing values generated) (62,311 missing values generated) (120 real changes made) (sum of wgt is 256.5039837360382) Linear regression Number of obs = 150 F(3, 149) = 0.81 Prob > F = 0.4904 R-squared = 0.0218 Root MSE = .44647 (Std. Err. adjusted for 150 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .0511582 .1667078 0.31 0.759 -.2782587 .3805751 MV1_female | -.0115323 .0086185 -1.34 0.183 -.0285626 .0054979 femaleXMV1_female | .0075701 .0155049 0.49 0.626 -.0230677 .038208 _cons | .1992279 .0867581 2.30 0.023 .0277928 .370663 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,046.91350281239) Linear regression Number of obs = 2,093 F(1, 2092) = 41.65 Prob > F = 0.0000 R-squared = 0.0466 Root MSE = .38844 (Std. Err. adjusted for 2,093 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.1717761 .0266182 -6.45 0.000 -.2239771 -.1195752 _cons | .2795578 .0102508 27.27 0.000 .259455 .2996606 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ6 | 177 .4745763 .5007698 0 1 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- occ6 | 2,068 .1479691 .3551552 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 443 ----------------------+---------------------- NN matches = 3 Number of obs | 319 124 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | 9.950763 18.27389 .5445344 ---------------------------------------------- Linear regression Number of obs = 2,245 F(1, 2244) = 72.51 Prob > F = 0.0000 R-squared = 0.0540 Root MSE = .36867 (Std. Err. adjusted for 2,245 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .3266072 .0383543 8.52 0.000 .2513936 .4018208 _cons | .1479691 .0078114 18.94 0.000 .1326506 .1632875 -------------------------------------------------------------------------------- Linear regression Number of obs = 77 F(3, 76) = 3.34 Prob > F = 0.0236 R-squared = 0.1012 Root MSE = .42694 (Std. Err. adjusted for 77 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | -.1549928 .2303311 -0.67 0.503 -.613737 .3037513 MV1_female | .0397596 .0169553 2.34 0.022 .0059901 .0735291 femaleXMV1_female | -.0070305 .0392345 -0.18 0.858 -.0851728 .0711118 _cons | .4143581 .1181721 3.51 0.001 .1789979 .6497183 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (62,273 missing values generated) (62,332 missing values generated) (59 real changes made) (sum of wgt is 121.8195006847382) Linear regression Number of obs = 72 F(3, 71) = 1.90 Prob > F = 0.1367 R-squared = 0.0606 Root MSE = .44491 (Std. Err. adjusted for 72 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | .055637 .2860527 0.19 0.846 -.5147359 .6260098 MV1_female | .0332212 .0168932 1.97 0.053 -.0004629 .0669052 femaleXMV1_female | -.0473491 .0466663 -1.01 0.314 -.1403991 .0457009 _cons | .3769408 .1216608 3.10 0.003 .134356 .6195256 ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,046.91350281239) Linear regression Number of obs = 2,093 F(1, 2092) = 89.04 Prob > F = 0.0000 R-squared = 0.1889 Root MSE = .43013 (Std. Err. adjusted for 2,093 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | .415265 .0440074 9.44 0.000 .3289622 .5015677 _cons | .1513729 .0083067 18.22 0.000 .1350826 .1676631 -------------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- black | 184 0 0 0 0 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- black | 2,089 .0033509 .0578036 0 1 Computing CCT bandwidth selector. Bandwidth estimators for RD local polynomial regression Cutoff c = 0 | Left of c Right of c Number of obs = 455 ----------------------+---------------------- NN matches = 3 Number of obs | 326 129 Kernel type = Uniform Order loc. poly. (p) | 1 1 Order bias (q) | 2 2 Range of MV1_female | 99.945 57.946 ---------------------------------------------- Method | h b rho ----------+----------------------------------- CCT | . . . ---------------------------------------------- Linear regression Number of obs = 2,273 F(0, 2272) = . Prob > F = . R-squared = 0.0003 Root MSE = .05543 (Std. Err. adjusted for 2,273 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0033509 .0012649 -2.65 0.008 -.0058315 -.0008703 _cons | .0033509 .0012649 2.65 0.008 .0008703 .0058315 -------------------------------------------------------------------------------- Linear regression Number of obs = 455 F(0, 454) = . Prob > F = . R-squared = . Root MSE = 0 (Std. Err. adjusted for 455 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 0 (omitted) MV1_female | 0 (omitted) femaleXMV1_female | 0 (omitted) _cons | 0 (omitted) ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,076 missing values generated) (62,165 missing values generated) (2,089 real changes made) (sum of wgt is 1,914.27638936043) Linear regression Number of obs = 455 F(0, 454) = . Prob > F = . R-squared = . Root MSE = 0 (Std. Err. adjusted for 455 clusters in group_sponsor) ----------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ------------------+---------------------------------------------------------------- sponsor_female | 0 (omitted) MV1_female | 0 (omitted) femaleXMV1_female | 0 (omitted) _cons | 0 (omitted) ----------------------------------------------------------------------------------- (option pr assumed; Pr(sponsor_female)) (60,228 missing values generated) (62,169 missing values generated) (1,941 real changes made) (sum of wgt is 4,129.91265428066) Linear regression Number of obs = 2,121 F(0, 2120) = . Prob > F = . R-squared = 0.0018 Root MSE = .04324 (Std. Err. adjusted for 2,121 clusters in group_sponsor) -------------------------------------------------------------------------------- | Robust black | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- sponsor_female | -.0036494 .0013776 -2.65 0.008 -.0063511 -.0009477 _cons | .0036494 .0013776 2.65 0.008 .0009477 .0063511 -------------------------------------------------------------------------------- . . . . . * Display results . . forvalues j=1/3{ 2. gen str50 statistic_`j' = "" 3. forvalues i = 1/4 { 4. gen var_`j'_`i' =. 5. } 6. } (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) (62,349 missing values generated) . . . forvalues j=1/3 { 2. local k = 0 3. foreach var in "sponsor_NE" "sponsor_MW" "sponsor_SO" "sponsor_WE" "pct_black" "pct_urban" "pct_for_born" "pct_age_over65" "lninc" "lnpden" "lag_demshare1" " > DSpndPct" /* > */ "absMV" "sponsor_democrat" "sponsor_tenure_run" "sponsor_rookie" "sponsor_age" "leader" "borninstate" "ivycoll" "occ0" "occ1" "occ2" " > occ3" "occ4" "occ6" "black" { 4. local k = `k'+1 5. replace statistic_`j' = "stdiff_`var'_`j'" if _n==2*(`k'-1)+1 6. forvalues i=1/4 { 7. replace var_`j'_`i' = stdiff_`var'_`j'_`i' if _n==2*(`k'-1)+1 8. } 9. } 10. } (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) 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change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (0 real changes made) (0 real changes made) (0 real changes made) (0 real changes made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (0 real changes made) (0 real changes made) (0 real changes made) (0 real changes made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) (1 real change made) . . forvalues j=1/3 { 2. preserve 3. keep statistic_`j' var_`j'_* 4. order statistic_`j' var_`j'_* 5. keep if _n<=200 6. ren var_`j'_1 raw 7. ren var_`j'_2 rd_llr 8. ren var_`j'_3 rd_ps 9. ren var_`j'_4 ps1_all 10. export excel using "$Output/Table4_BalancingTests_`Party`j''", firstrow(var) replace 11. restore 12. } (62,149 observations deleted) file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table4_BalancingTests_ALL.xls saved (62,149 observations deleted) file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table4_BalancingTests_D.xls saved (62,149 observations deleted) file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table4_BalancingTests_R.xls saved . . . log close name: log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table4a_4b.log log type: text closed on: 11 May 2021, 23:48:42 ---------------------------------------------------------------------------------------------------------------------------------------------------------------------