___ ____ ____ ____ ____ (R) /__ / ____/ / ____/ ___/ / /___/ / /___/ 12.1 Copyright 1985-2011 StataCorp LP Statistics/Data Analysis StataCorp 4905 Lakeway Drive College Station, Texas 77845 USA 800-STATA-PC http://www.stata.com 979-696-4600 stata@stata.com 979-696-4601 (fax) Single-user Stata perpetual license: Serial number: 30120576787 Licensed to: Raul Madrid Government, UT-Austin Notes: . use "C:\Users\rlmadrid\Documents\Files\Argentina files\Argentina 1912 vote data (merged with 1914 census data).dta", clear . mlogit Reformer elected1910 radicals1916share middleclassargentinos1914, baseoutcome(0) vce(cluster districtnumber) variable middleclassargentinos1914 not found r(111); . mlogit Reformer elected1910 radicals1916share middleclassargentinosin1914, baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -115.45127 Iteration 2: log pseudolikelihood = -115.32008 Iteration 3: log pseudolikelihood = -115.31978 Iteration 4: log pseudolikelihood = -115.31978 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 26.57 Prob > chi2 = 0.0002 Log pseudolikelihood = -115.31978 Pseudo R2 = 0.0869 (Std. Err. adjusted for 15 clusters in districtnumber) --------------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ----------------------------+---------------------------------------------------------------- 0 | (base outcome) ----------------------------+---------------------------------------------------------------- 1 | elected1910 | .8480997 .5427591 1.56 0.118 -.2156886 1.911888 radicals1916share | -2.089286 1.131885 -1.85 0.065 -4.30774 .1291672 middleclassargentinosin1914 | -5.483814 1.884181 -2.91 0.004 -9.176741 -1.790887 _cons | 2.300968 .9915064 2.32 0.020 .3576517 4.244285 ----------------------------+---------------------------------------------------------------- 2 | elected1910 | 1.50478 .5187753 2.90 0.004 .4879994 2.521561 radicals1916share | 1.420782 2.334591 0.61 0.543 -3.154933 5.996497 middleclassargentinosin1914 | -3.18303 2.232048 -1.43 0.154 -7.557762 1.191703 _cons | .034313 1.567127 0.02 0.983 -3.037199 3.105825 --------------------------------------------------------------------------------------------- . mlogit Reformer elected1910 radicals1916share workingclassargentinemalesin1914 , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -116.54659 Iteration 2: log pseudolikelihood = -116.39084 Iteration 3: log pseudolikelihood = -116.39041 Iteration 4: log pseudolikelihood = -116.39041 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 23.35 Prob > chi2 = 0.0007 Log pseudolikelihood = -116.39041 Pseudo R2 = 0.0784 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------------------+---------------------------------------------------------------- 0 | (base outcome) ---------------------------------+---------------------------------------------------------------- 1 | elected1910 | .9689496 .5520376 1.76 0.079 -.1130242 2.050923 radicals1916share | -.4827484 1.728656 -0.28 0.780 -3.870853 2.905356 workingclassargentinemalesin1914 | -8.197124 2.546064 -3.22 0.001 -13.18732 -3.206931 _cons | 2.245235 1.189257 1.89 0.059 -.0856657 4.576135 ---------------------------------+---------------------------------------------------------------- 2 | elected1910 | 1.576172 .5404721 2.92 0.004 .516866 2.635478 radicals1916share | 2.556149 1.899616 1.35 0.178 -1.16703 6.279328 workingclassargentinemalesin1914 | -6.824666 4.383956 -1.56 0.120 -15.41706 1.767729 _cons | .5024132 1.637084 0.31 0.759 -2.706212 3.711038 -------------------------------------------------------------------------------------------------- . mlogit Reformer elected1910 radicals1916share industrialprodpercapita , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -116.2824 Iteration 2: log pseudolikelihood = -116.08947 Iteration 3: log pseudolikelihood = -116.08888 Iteration 4: log pseudolikelihood = -116.08888 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 47.84 Prob > chi2 = 0.0000 Log pseudolikelihood = -116.08888 Pseudo R2 = 0.0808 (Std. Err. adjusted for 15 clusters in districtnumber) ----------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------------------------+---------------------------------------------------------------- 0 | (base outcome) ------------------------+---------------------------------------------------------------- 1 | elected1910 | .9866698 .5441575 1.81 0.070 -.0798593 2.053199 radicals1916share | -.2050381 1.947101 -0.11 0.916 -4.021286 3.61121 industrialprodpercapita | -.0040937 .0015522 -2.64 0.008 -.0071361 -.0010514 _cons | .5818068 .9336583 0.62 0.533 -1.24813 2.411743 ------------------------+---------------------------------------------------------------- 2 | elected1910 | 1.60718 .5479371 2.93 0.003 .5332434 2.681117 radicals1916share | 3.057526 1.42563 2.14 0.032 .263342 5.85171 industrialprodpercapita | -.0044911 .0023814 -1.89 0.059 -.0091585 .0001763 _cons | -.7897584 .9688366 -0.82 0.415 -2.688643 1.109126 ----------------------------------------------------------------------------------------- . mlogit Reformer elected1910 radicals1916share laborstrikes19061909 , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -118.13003 Iteration 2: log pseudolikelihood = -118.04447 Iteration 3: log pseudolikelihood = -118.04442 Iteration 4: log pseudolikelihood = -118.04442 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 23.83 Prob > chi2 = 0.0006 Log pseudolikelihood = -118.04442 Pseudo R2 = 0.0653 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------+---------------------------------------------------------------- 0 | (base outcome) ---------------------+---------------------------------------------------------------- 1 | elected1910 | .9074753 .5204503 1.74 0.081 -.1125885 1.927539 radicals1916share | -1.133198 1.495676 -0.76 0.449 -4.064669 1.798274 laborstrikes19061909 | -.0012986 .0004556 -2.85 0.004 -.0021916 -.0004056 _cons | .2515075 .775799 0.32 0.746 -1.269031 1.772046 ---------------------+---------------------------------------------------------------- 2 | elected1910 | 1.546433 .4970256 3.11 0.002 .5722807 2.520585 radicals1916share | 2.005942 2.469641 0.81 0.417 -2.834465 6.846348 laborstrikes19061909 | -.0003679 .0005644 -0.65 0.515 -.0014741 .0007383 _cons | -1.270535 1.337377 -0.95 0.342 -3.891746 1.350675 -------------------------------------------------------------------------------------- . mlogit Reformer elected1910 radicals1916share urbanizationrate1914 , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -117.18039 Iteration 2: log pseudolikelihood = -117.07946 Iteration 3: log pseudolikelihood = -117.07935 Iteration 4: log pseudolikelihood = -117.07935 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 24.22 Prob > chi2 = 0.0005 Log pseudolikelihood = -117.07935 Pseudo R2 = 0.0729 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------+---------------------------------------------------------------- 0 | (base outcome) ---------------------+---------------------------------------------------------------- 1 | elected1910 | .8904897 .5322263 1.67 0.094 -.1526548 1.933634 radicals1916share | -1.007917 1.458464 -0.69 0.490 -3.866453 1.850619 urbanizationrate1914 | -2.317191 .8141874 -2.85 0.004 -3.912969 -.7214134 _cons | 1.286285 .9225354 1.39 0.163 -.5218512 3.094421 ---------------------+---------------------------------------------------------------- 2 | elected1910 | 1.525208 .5049559 3.02 0.003 .5355126 2.514903 radicals1916share | 2.129133 2.196709 0.97 0.332 -2.176337 6.434603 urbanizationrate1914 | -1.293967 1.065105 -1.21 0.224 -3.381535 .7936014 _cons | -.644111 1.418738 -0.45 0.650 -3.424786 2.136564 -------------------------------------------------------------------------------------- . mlogit Reformer elected1910 radicals1912share middleclassargentinosin1914, baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -116.41331 Iteration 2: log pseudolikelihood = -116.2209 Iteration 3: log pseudolikelihood = -116.22022 Iteration 4: log pseudolikelihood = -116.22022 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 127.40 Prob > chi2 = 0.0000 Log pseudolikelihood = -116.22022 Pseudo R2 = 0.0798 (Std. Err. adjusted for 15 clusters in districtnumber) --------------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ----------------------------+---------------------------------------------------------------- 0 | (base outcome) ----------------------------+---------------------------------------------------------------- 1 | elected1910 | .7889064 .5267631 1.50 0.134 -.2435304 1.821343 radicals1912share | 1.404102 1.047098 1.34 0.180 -.6481721 3.456376 middleclassargentinosin1914 | -5.796086 1.728217 -3.35 0.001 -9.183328 -2.408844 _cons | 1.299326 .7531218 1.73 0.084 -.1767653 2.775418 ----------------------------+---------------------------------------------------------------- 2 | elected1910 | 1.493998 .5284512 2.83 0.005 .4582529 2.529743 radicals1912share | 1.387992 2.089965 0.66 0.507 -2.708265 5.484249 middleclassargentinosin1914 | -3.806784 2.344003 -1.62 0.104 -8.400945 .787378 _cons | .6915652 .7622736 0.91 0.364 -.8024635 2.185594 --------------------------------------------------------------------------------------------- . mlogit Reformer elected1910 radicals1912share workingclassargentinemalesin1914 , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -117.44599 Iteration 2: log pseudolikelihood = -117.24865 Iteration 3: log pseudolikelihood = -117.24796 Iteration 4: log pseudolikelihood = -117.24796 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 45.01 Prob > chi2 = 0.0000 Log pseudolikelihood = -117.24796 Pseudo R2 = 0.0716 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------------------+---------------------------------------------------------------- 0 | (base outcome) ---------------------------------+---------------------------------------------------------------- 1 | elected1910 | .9488767 .5406326 1.76 0.079 -.1107437 2.008497 radicals1912share | 1.071596 1.221849 0.88 0.380 -1.323184 3.466377 workingclassargentinemalesin1914 | -9.116244 2.744939 -3.32 0.001 -14.49623 -3.736262 _cons | 2.160562 1.026528 2.10 0.035 .1486054 4.172519 ---------------------------------+---------------------------------------------------------------- 2 | elected1910 | 1.599769 .5320438 3.01 0.003 .5569828 2.642556 radicals1912share | 1.227991 2.179617 0.56 0.573 -3.043981 5.499962 workingclassargentinemalesin1914 | -6.960086 4.621557 -1.51 0.132 -16.01817 2.097999 _cons | 1.519133 1.328077 1.14 0.253 -1.083851 4.122117 -------------------------------------------------------------------------------------------------- . mlogit Reformer elected1910 radicals1912share industrialprodpercapita , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -117.669 Iteration 2: log pseudolikelihood = -117.46691 Iteration 3: log pseudolikelihood = -117.46631 Iteration 4: log pseudolikelihood = -117.46631 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 35.13 Prob > chi2 = 0.0000 Log pseudolikelihood = -117.46631 Pseudo R2 = 0.0699 (Std. Err. adjusted for 15 clusters in districtnumber) ----------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------------------------+---------------------------------------------------------------- 0 | (base outcome) ------------------------+---------------------------------------------------------------- 1 | elected1910 | .985363 .52918 1.86 0.063 -.0518107 2.022537 radicals1912share | .5110605 1.283916 0.40 0.691 -2.00537 3.027491 industrialprodpercapita | -.0042212 .0017231 -2.45 0.014 -.0075984 -.0008441 _cons | .4456951 .5816379 0.77 0.444 -.6942943 1.585685 ------------------------+---------------------------------------------------------------- 2 | elected1910 | 1.641305 .5350472 3.07 0.002 .5926316 2.689978 radicals1912share | .7962793 1.971688 0.40 0.686 -3.068158 4.660716 industrialprodpercapita | -.0039476 .002215 -1.78 0.075 -.008289 .0003938 _cons | .3489064 .595413 0.59 0.558 -.8180817 1.515894 ----------------------------------------------------------------------------------------- . mlogit Reformer elected1910 radicals1916share laborstrikes19061909 , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -118.13003 Iteration 2: log pseudolikelihood = -118.04447 Iteration 3: log pseudolikelihood = -118.04442 Iteration 4: log pseudolikelihood = -118.04442 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 23.83 Prob > chi2 = 0.0006 Log pseudolikelihood = -118.04442 Pseudo R2 = 0.0653 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------+---------------------------------------------------------------- 0 | (base outcome) ---------------------+---------------------------------------------------------------- 1 | elected1910 | .9074753 .5204503 1.74 0.081 -.1125885 1.927539 radicals1916share | -1.133198 1.495676 -0.76 0.449 -4.064669 1.798274 laborstrikes19061909 | -.0012986 .0004556 -2.85 0.004 -.0021916 -.0004056 _cons | .2515075 .775799 0.32 0.746 -1.269031 1.772046 ---------------------+---------------------------------------------------------------- 2 | elected1910 | 1.546433 .4970256 3.11 0.002 .5722807 2.520585 radicals1916share | 2.005942 2.469641 0.81 0.417 -2.834465 6.846348 laborstrikes19061909 | -.0003679 .0005644 -0.65 0.515 -.0014741 .0007383 _cons | -1.270535 1.337377 -0.95 0.342 -3.891746 1.350675 -------------------------------------------------------------------------------------- . mlogit Reformer elected1910 radicals1912share laborstrikes19061909 , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -119.16007 Iteration 2: log pseudolikelihood = -119.05973 Iteration 3: log pseudolikelihood = -119.05965 Iteration 4: log pseudolikelihood = -119.05965 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 102.87 Prob > chi2 = 0.0000 Log pseudolikelihood = -119.05965 Pseudo R2 = 0.0573 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------+---------------------------------------------------------------- 0 | (base outcome) ---------------------+---------------------------------------------------------------- 1 | elected1910 | .8699419 .518176 1.68 0.093 -.1456644 1.885548 radicals1912share | .6763978 1.394946 0.48 0.628 -2.057647 3.410442 laborstrikes19061909 | -.00145 .0003512 -4.13 0.000 -.0021384 -.0007617 _cons | -.3094324 .4529962 -0.68 0.495 -1.197289 .5784238 ---------------------+---------------------------------------------------------------- 2 | elected1910 | 1.563272 .5076095 3.08 0.002 .5683753 2.558168 radicals1912share | .8159002 2.184462 0.37 0.709 -3.465567 5.097367 laborstrikes19061909 | -.0004088 .0005363 -0.76 0.446 -.0014598 .0006423 _cons | -.4726738 .6029105 -0.78 0.433 -1.654357 .7090091 -------------------------------------------------------------------------------------- . mlogit Reformer elected1910 radicals1912share urbanizationrate1914 , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -118.04806 Iteration 2: log pseudolikelihood = -117.90697 Iteration 3: log pseudolikelihood = -117.90666 Iteration 4: log pseudolikelihood = -117.90666 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 91.44 Prob > chi2 = 0.0000 Log pseudolikelihood = -117.90666 Pseudo R2 = 0.0664 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------+---------------------------------------------------------------- 0 | (base outcome) ---------------------+---------------------------------------------------------------- 1 | elected1910 | .8498736 .5163816 1.65 0.100 -.1622158 1.861963 radicals1912share | 1.13344 1.299081 0.87 0.383 -1.412711 3.679591 urbanizationrate1914 | -2.635642 .8618849 -3.06 0.002 -4.324905 -.9463787 _cons | .8678066 .6891727 1.26 0.208 -.4829471 2.21856 ---------------------+---------------------------------------------------------------- 2 | elected1910 | 1.541847 .5075768 3.04 0.002 .5470146 2.536679 radicals1912share | 1.203939 2.19347 0.55 0.583 -3.095184 5.503062 urbanizationrate1914 | -1.481806 1.106792 -1.34 0.181 -3.651079 .6874664 _cons | .2503421 .7541943 0.33 0.740 -1.227851 1.728536 -------------------------------------------------------------------------------------- . mlogit incompletevotetricho elected1910 radicals1916share middleclassargentinosin1914, baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.56493 Iteration 1: log pseudolikelihood = -116.87022 Iteration 2: log pseudolikelihood = -116.66123 Iteration 3: log pseudolikelihood = -116.66045 Iteration 4: log pseudolikelihood = -116.66045 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 14.88 Prob > chi2 = 0.0212 Log pseudolikelihood = -116.66045 Pseudo R2 = 0.0783 (Std. Err. adjusted for 15 clusters in districtnumber) --------------------------------------------------------------------------------------------- | Robust incompletevotetricho | Coef. Std. Err. z P>|z| [95% Conf. Interval] ----------------------------+---------------------------------------------------------------- 0 | (base outcome) ----------------------------+---------------------------------------------------------------- 1 | elected1910 | .8088869 .5115143 1.58 0.114 -.1936627 1.811436 radicals1916share | -1.773416 1.629171 -1.09 0.276 -4.966532 1.4197 middleclassargentinosin1914 | -5.840277 2.111836 -2.77 0.006 -9.9794 -1.701155 _cons | 2.490345 1.043806 2.39 0.017 .4445219 4.536168 ----------------------------+---------------------------------------------------------------- 2 | elected1910 | 1.28366 .5516956 2.33 0.020 .2023568 2.364964 radicals1916share | .8238147 1.994171 0.41 0.680 -3.084689 4.732319 middleclassargentinosin1914 | -4.677542 1.969824 -2.37 0.018 -8.538325 -.8167579 _cons | .9832415 1.365004 0.72 0.471 -1.692117 3.6586 --------------------------------------------------------------------------------------------- . mlogit incompletevotetricho elected1910 radicals1916share workingclassargentinemalesin1914 , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.56493 Iteration 1: log pseudolikelihood = -118.04753 Iteration 2: log pseudolikelihood = -117.83761 Iteration 3: log pseudolikelihood = -117.83682 Iteration 4: log pseudolikelihood = -117.83682 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 18.08 Prob > chi2 = 0.0060 Log pseudolikelihood = -117.83682 Pseudo R2 = 0.0690 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------------------- | Robust incompletevotetricho | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------------------+---------------------------------------------------------------- 0 | (base outcome) ---------------------------------+---------------------------------------------------------------- 1 | elected1910 | .9193922 .533486 1.72 0.085 -.1262212 1.965006 radicals1916share | -.0694167 2.387803 -0.03 0.977 -4.749424 4.610591 workingclassargentinemalesin1914 | -8.659301 2.896005 -2.99 0.003 -14.33537 -2.983236 _cons | 2.399043 1.251899 1.92 0.055 -.0546329 4.85272 ---------------------------------+---------------------------------------------------------------- 2 | elected1910 | 1.376666 .5781086 2.38 0.017 .2435938 2.509738 radicals1916share | 2.384358 1.594738 1.50 0.135 -.7412712 5.509988 workingclassargentinemalesin1914 | -9.191687 3.788135 -2.43 0.015 -16.61629 -1.76708 _cons | 1.463756 1.425361 1.03 0.304 -1.329901 4.257413 -------------------------------------------------------------------------------------------------- . mlogit incompletevotetricho elected1910 radicals1916share industrialprodpercapita , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.56493 Iteration 1: log pseudolikelihood = -118.075 Iteration 2: log pseudolikelihood = -117.87892 Iteration 3: log pseudolikelihood = -117.87838 Iteration 4: log pseudolikelihood = -117.87838 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 78.95 Prob > chi2 = 0.0000 Log pseudolikelihood = -117.87838 Pseudo R2 = 0.0686 (Std. Err. adjusted for 15 clusters in districtnumber) ----------------------------------------------------------------------------------------- | Robust incompletevotetricho | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------------------------+---------------------------------------------------------------- 0 | (base outcome) ------------------------+---------------------------------------------------------------- 1 | elected1910 | .9231869 .5162835 1.79 0.074 -.0887102 1.935084 radicals1916share | .0172735 2.552767 0.01 0.995 -4.986057 5.020604 industrialprodpercapita | -.0036532 .0016248 -2.25 0.025 -.0068378 -.0004686 _cons | .5716637 1.161419 0.49 0.623 -1.704675 2.848003 ------------------------+---------------------------------------------------------------- 2 | elected1910 | 1.40184 .5795797 2.42 0.016 .265885 2.537796 radicals1916share | 2.840583 1.448048 1.96 0.050 .0024611 5.678704 industrialprodpercapita | -.005278 .0017327 -3.05 0.002 -.008674 -.0018821 _cons | -.3613517 .814417 -0.44 0.657 -1.95758 1.234876 ----------------------------------------------------------------------------------------- . mlogit incompletevotetricho elected1910 radicals1916share laborstrikes19061909 , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.56493 Iteration 1: log pseudolikelihood = -119.98047 Iteration 2: log pseudolikelihood = -119.89006 Iteration 3: log pseudolikelihood = -119.88999 Iteration 4: log pseudolikelihood = -119.88999 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 12.61 Prob > chi2 = 0.0497 Log pseudolikelihood = -119.88999 Pseudo R2 = 0.0527 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------- | Robust incompletevotetricho | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------+---------------------------------------------------------------- 0 | (base outcome) ---------------------+---------------------------------------------------------------- 1 | elected1910 | .8617436 .4936864 1.75 0.081 -.1058639 1.829351 radicals1916share | -.696473 1.997256 -0.35 0.727 -4.611022 3.218076 laborstrikes19061909 | -.0013706 .0005453 -2.51 0.012 -.0024394 -.0003018 _cons | .2599448 .914017 0.28 0.776 -1.531496 2.051385 ---------------------+---------------------------------------------------------------- 2 | elected1910 | 1.318643 .5266119 2.50 0.012 .2865025 2.350783 radicals1916share | 1.765133 2.026359 0.87 0.384 -2.206459 5.736724 laborstrikes19061909 | -.0011502 .0005827 -1.97 0.048 -.0022924 -8.09e-06 _cons | -.8587513 1.069225 -0.80 0.422 -2.954394 1.236892 -------------------------------------------------------------------------------------- . mlogit incompletevotetricho elected1910 radicals1916share urbanizationrate1914 , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.56493 Iteration 1: log pseudolikelihood = -118.8299 Iteration 2: log pseudolikelihood = -118.70218 Iteration 3: log pseudolikelihood = -118.702 Iteration 4: log pseudolikelihood = -118.702 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 13.43 Prob > chi2 = 0.0367 Log pseudolikelihood = -118.702 Pseudo R2 = 0.0621 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------- | Robust incompletevotetricho | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------+---------------------------------------------------------------- 0 | (base outcome) ---------------------+---------------------------------------------------------------- 1 | elected1910 | .8478749 .5016467 1.69 0.091 -.1353345 1.831084 radicals1916share | -.6092478 2.010691 -0.30 0.762 -4.55013 3.331634 urbanizationrate1914 | -2.327732 .8273873 -2.81 0.005 -3.949382 -.7060829 _cons | 1.312309 .9926852 1.32 0.186 -.6333181 3.257937 ---------------------+---------------------------------------------------------------- 2 | elected1910 | 1.303718 .5340961 2.44 0.015 .2569089 2.350527 radicals1916share | 1.836341 1.83942 1.00 0.318 -1.768856 5.441538 urbanizationrate1914 | -2.135454 .9463639 -2.26 0.024 -3.990293 -.2806145 _cons | .1289555 1.174296 0.11 0.913 -2.172622 2.430533 -------------------------------------------------------------------------------------- . oprobit Reformer elected1910 radicals1916share middleclassargentinosin1914, vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -118.81031 Iteration 2: log pseudolikelihood = -118.80584 Iteration 3: log pseudolikelihood = -118.80584 Ordered probit regression Number of obs = 117 Wald chi2(3) = 13.00 Prob > chi2 = 0.0046 Log pseudolikelihood = -118.80584 Pseudo R2 = 0.0593 (Std. Err. adjusted for 15 clusters in districtnumber) --------------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ----------------------------+---------------------------------------------------------------- elected1910 | .6862263 .2000317 3.43 0.001 .2941713 1.078281 radicals1916share | .8528006 1.135523 0.75 0.453 -1.372784 3.078385 middleclassargentinosin1914 | -1.274222 .9951664 -1.28 0.200 -3.224713 .6762679 ----------------------------+---------------------------------------------------------------- /cut1 | -.237429 .67362 -1.5577 1.082842 /cut2 | .563006 .6335621 -.6787528 1.804765 --------------------------------------------------------------------------------------------- . oprobit Reformer elected1910 radicals1916share workingclassargentinemalesin1914 , vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -118.40724 Iteration 2: log pseudolikelihood = -118.39825 Iteration 3: log pseudolikelihood = -118.39825 Ordered probit regression Number of obs = 117 Wald chi2(3) = 13.40 Prob > chi2 = 0.0039 Log pseudolikelihood = -118.39825 Pseudo R2 = 0.0625 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------------------+---------------------------------------------------------------- elected1910 | .7150273 .2063758 3.46 0.001 .3105381 1.119516 radicals1916share | 1.312908 1.018639 1.29 0.197 -.6835881 3.309405 workingclassargentinemalesin1914 | -2.826971 1.935095 -1.46 0.144 -6.619688 .9657456 ---------------------------------+---------------------------------------------------------------- /cut1 | -.4585903 .7170142 -1.863912 .9467317 /cut2 | .3456011 .6806982 -.9885429 1.679745 -------------------------------------------------------------------------------------------------- . oprobit Reformer elected1910 radicals1916share industrialprodpercapita , vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -117.31065 Iteration 2: log pseudolikelihood = -117.28944 Iteration 3: log pseudolikelihood = -117.28943 Ordered probit regression Number of obs = 117 Wald chi2(3) = 15.97 Prob > chi2 = 0.0012 Log pseudolikelihood = -117.28943 Pseudo R2 = 0.0713 (Std. Err. adjusted for 15 clusters in districtnumber) ----------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------------------------+---------------------------------------------------------------- elected1910 | .7308901 .2073026 3.53 0.000 .3245846 1.137196 radicals1916share | 1.634165 .7251328 2.25 0.024 .2129307 3.055399 industrialprodpercapita | -.0020655 .001088 -1.90 0.058 -.004198 .0000669 ------------------------+---------------------------------------------------------------- /cut1 | .0750968 .4463553 -.7997435 .949937 /cut2 | .8880816 .419782 .0653239 1.710839 ----------------------------------------------------------------------------------------- . oprobit Reformer elected1910 radicals1916share laborstrikes19061909 , vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -119.87546 Iteration 2: log pseudolikelihood = -119.87296 Iteration 3: log pseudolikelihood = -119.87296 Ordered probit regression Number of obs = 117 Wald chi2(3) = 14.46 Prob > chi2 = 0.0023 Log pseudolikelihood = -119.87296 Pseudo R2 = 0.0508 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------+---------------------------------------------------------------- elected1910 | .70812 .1925691 3.68 0.000 .3306915 1.085549 radicals1916share | 1.013958 1.205127 0.84 0.400 -1.348047 3.375963 laborstrikes19061909 | -.0001704 .0002608 -0.65 0.514 -.0006816 .0003409 ---------------------+---------------------------------------------------------------- /cut1 | .2318505 .6162193 -.9759172 1.439618 /cut2 | 1.022288 .5884273 -.1310083 2.175584 -------------------------------------------------------------------------------------- . oprobit Reformer elected1910 radicals1916share urbanizationrate1914 , vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -119.24958 Iteration 2: log pseudolikelihood = -119.2452 Iteration 3: log pseudolikelihood = -119.2452 Ordered probit regression Number of obs = 117 Wald chi2(3) = 13.14 Prob > chi2 = 0.0043 Log pseudolikelihood = -119.2452 Pseudo R2 = 0.0558 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------+---------------------------------------------------------------- elected1910 | .6957763 .1940703 3.59 0.000 .3154055 1.076147 radicals1916share | 1.088675 1.103025 0.99 0.324 -1.073215 3.250564 urbanizationrate1914 | -.5985045 .523547 -1.14 0.253 -1.624638 .4276287 ---------------------+---------------------------------------------------------------- /cut1 | -.0427951 .6460469 -1.309024 1.223434 /cut2 | .7533107 .5998629 -.4223989 1.92902 -------------------------------------------------------------------------------------- . mlogit Reformer elected1910 radicals1916share urbanizationrate1914 , baseoutcome(0) vce(cluster districtnumber) Iteration 0: log pseudolikelihood = -126.29219 Iteration 1: log pseudolikelihood = -117.18039 Iteration 2: log pseudolikelihood = -117.07946 Iteration 3: log pseudolikelihood = -117.07935 Iteration 4: log pseudolikelihood = -117.07935 Multinomial logistic regression Number of obs = 117 Wald chi2(6) = 24.22 Prob > chi2 = 0.0005 Log pseudolikelihood = -117.07935 Pseudo R2 = 0.0729 (Std. Err. adjusted for 15 clusters in districtnumber) -------------------------------------------------------------------------------------- | Robust Reformer | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------------+---------------------------------------------------------------- 0 | (base outcome) ---------------------+---------------------------------------------------------------- 1 | elected1910 | .8904897 .5322263 1.67 0.094 -.1526548 1.933634 radicals1916share | -1.007917 1.458464 -0.69 0.490 -3.866453 1.850619 urbanizationrate1914 | -2.317191 .8141874 -2.85 0.004 -3.912969 -.7214134 _cons | 1.286285 .9225354 1.39 0.163 -.5218512 3.094421 ---------------------+---------------------------------------------------------------- 2 | elected1910 | 1.525208 .5049559 3.02 0.003 .5355126 2.514903 radicals1916share | 2.129133 2.196709 0.97 0.332 -2.176337 6.434603 urbanizationrate1914 | -1.293967 1.065105 -1.21 0.224 -3.381535 .7936014 _cons | -.644111 1.418738 -0.45 0.650 -3.424786 2.136564 -------------------------------------------------------------------------------------- . margins, at(elected1910=(0 1)) atmeans predict (outcome (2)) Adjusted predictions Number of obs = 117 Model VCE : Robust Expression : Pr(Reformer==2), predict(outcome (2)) 1._at : elected1910 = 0 radic~6share = .4549882 (mean) urbaniz~1914 = .542027 (mean) 2._at : elected1910 = 1 radic~6share = .4549882 (mean) urbaniz~1914 = .542027 (mean) ------------------------------------------------------------------------------ | Delta-method | Margin Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- _at | 1 | .2934876 .0702762 4.18 0.000 .1557489 .4312264 2 | .5492754 .0857886 6.40 0.000 .3811328 .717418 ------------------------------------------------------------------------------ .