The modal category for retnat is 2 The maximum category is 3 The minimum category is 1 Multinomial regression Number of obs = 628 LR chi2(72) = 541.01 Prob > chi2 = 0.0000 Log likelihood = -832.10966 Pseudo R2 = 0.2453 ------------------------------------------------------------------------------ vote | RRR Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- exleft | _Iretnat_1 | .8345308 .3903798 -0.39 0.699 .3336294 2.087471 _Iretnat_3 | 1.024533 .3449276 0.07 0.943 .5296068 1.981976 age | .9653148 .0092998 -3.66 0.000 .9472585 .9837153 male | .6584134 .1999018 -1.38 0.169 .3631317 1.193804 edulevel | 1.442421 .257246 2.05 0.040 1.016918 2.045965 notrelig | 1.276034 .2167379 1.44 0.151 .91471 1.780087 urban | 2.001533 .4387029 3.17 0.002 1.302548 3.075616 occupa2 | 1.434986 .4797102 1.08 0.280 .745237 2.763128 occupa3 | 3.448537 1.694909 2.52 0.012 1.316076 9.036264 demsat | 1.024755 .1998168 0.13 0.900 .6992695 1.501743 lrself | .440613 .05494 -6.57 0.000 .345081 .562592 eusup | .7236064 .1545369 -1.51 0.130 .4761192 1.099738 -------------+---------------------------------------------------------------- cen_cpp | _Iretnat_1 | 2.129272 1.176354 1.37 0.171 .7210576 6.28771 _Iretnat_3 | 1.580595 .78911 0.92 0.359 .5940995 4.205153 age | .9885441 .0124162 -0.92 0.359 .9645059 1.013181 male | .8701405 .3624063 -0.33 0.738 .3846547 1.968375 edulevel | 1.950746 .5020339 2.60 0.009 1.177986 3.230439 notrelig | .649241 .1964359 -1.43 0.153 .3588098 1.174756 urban | .9559672 .2666964 -0.16 0.872 .5533172 1.651626 occupa2 | 2.003313 .9731557 1.43 0.153 .7731398 5.190864 occupa3 | 4.453213 2.546048 2.61 0.009 1.452157 13.65631 demsat | .9125435 .2567783 -0.33 0.745 .5256977 1.584058 lrself | 1.443233 .1933718 2.74 0.006 1.109911 1.876657 eusup | 1.779211 .5824587 1.76 0.078 .9366349 3.37975 -------------+---------------------------------------------------------------- rad | _Iretnat_1 | 1.776904 .9501982 1.08 0.282 .6229952 5.068079 _Iretnat_3 | 1.088679 .5225628 0.18 0.859 .4249381 2.789165 age | .9941879 .0118134 -0.49 0.624 .9713015 1.017613 male | 1.222907 .5089674 0.48 0.629 .5409135 2.76477 edulevel | 1.299538 .3101279 1.10 0.272 .8140557 2.074549 notrelig | 1.205231 .2743626 0.82 0.412 .771436 1.882957 urban | 1.193237 .3273141 0.64 0.520 .6970047 2.042763 occupa2 | 1.524077 .7014199 0.92 0.360 .618389 3.756229 occupa3 | 3.533113 1.975266 2.26 0.024 1.181066 10.56917 demsat | .8297945 .2220573 -0.70 0.486 .4911166 1.402027 lrself | 1.133696 .1509185 0.94 0.346 .8733409 1.471665 eusup | 1.285632 .3780422 0.85 0.393 .7224692 2.287778 -------------+---------------------------------------------------------------- cons | _Iretnat_1 | 1.230668 .5031953 0.51 0.612 .5522066 2.742711 _Iretnat_3 | 1.012772 .3594089 0.04 0.971 .5051735 2.030407 age | .9867883 .00931 -1.41 0.159 .9687087 1.005205 male | .973525 .3056417 -0.09 0.932 .5261497 1.801295 edulevel | 1.609015 .3011541 2.54 0.011 1.11492 2.322078 notrelig | .956316 .1872117 -0.23 0.820 .6515793 1.403575 urban | .8434426 .1740386 -0.83 0.409 .5628802 1.263849 occupa2 | 3.263628 1.186166 3.25 0.001 1.600779 6.653804 occupa3 | 6.207229 2.760539 4.11 0.000 2.59623 14.84063 demsat | .8615967 .1789613 -0.72 0.473 .5734584 1.294512 lrself | 2.408865 .258863 8.18 0.000 1.951372 2.973615 eusup | 1.468213 .3597393 1.57 0.117 .9082996 2.373281 -------------+---------------------------------------------------------------- lib | _Iretnat_1 | 1.37607 .5163284 0.85 0.395 .6595578 2.870966 _Iretnat_3 | 1.154155 .3671801 0.45 0.652 .618678 2.153095 age | 1.002597 .0084253 0.31 0.758 .9862189 1.019247 male | 1.190767 .3362056 0.62 0.536 .6846922 2.070896 edulevel | 1.596996 .2643262 2.83 0.005 1.154562 2.208971 notrelig | .9740974 .1718559 -0.15 0.882 .6893321 1.3765 urban | .7474561 .138263 -1.57 0.116 .5201542 1.074087 occupa2 | 2.789818 .8836212 3.24 0.001 1.499596 5.190122 occupa3 | 4.291609 1.735919 3.60 0.000 1.9423 9.482523 demsat | .7201023 .1353039 -1.75 0.081 .4982616 1.040713 lrself | 2.052315 .1953113 7.55 0.000 1.703092 2.473146 eusup | 1.833561 .402563 2.76 0.006 1.192372 2.819543 -------------+---------------------------------------------------------------- progess | _Iretnat_1 | 1.488238 .778429 0.76 0.447 .5338855 4.148555 _Iretnat_3 | 1.100325 .4940492 0.21 0.831 .4563827 2.652852 age | .9884193 .0116616 -0.99 0.323 .9658253 1.011542 male | 1.021924 .4014287 0.06 0.956 .4732085 2.20691 edulevel | 1.099163 .2536941 0.41 0.682 .6991967 1.727926 notrelig | 1.103577 .2690327 0.40 0.686 .6843753 1.779552 urban | .6062746 .1580941 -1.92 0.055 .3636699 1.010721 occupa2 | .605415 .3129265 -0.97 0.332 .2198289 1.66733 occupa3 | 1.678983 .9190095 0.95 0.344 .5742912 4.908634 demsat | 1.899354 .4441617 2.74 0.006 1.201029 3.003713 lrself | 2.03789 .2561762 5.66 0.000 1.592865 2.607248 eusup | 1.253125 .3716423 0.76 0.447 .7007309 2.240976 ------------------------------------------------------------------------------ (Outcome vote==socdem is the comparison group) test for all economic coeffcients in all equations are 0: ( 1) [exleft]_Iretnat_1 = 0.0 ( 2) [cen_cpp]_Iretnat_1 = 0.0 ( 3) [rad]_Iretnat_1 = 0.0 ( 4) [cons]_Iretnat_1 = 0.0 ( 5) [lib]_Iretnat_1 = 0.0 ( 6) [progess]_Iretnat_1 = 0.0 ( 7) [exleft]_Iretnat_3 = 0.0 ( 8) [cen_cpp]_Iretnat_3 = 0.0 ( 9) [rad]_Iretnat_3 = 0.0 (10) [cons]_Iretnat_3 = 0.0 (11) [lib]_Iretnat_3 = 0.0 (12) [progess]_Iretnat_3 = 0.0 chi2( 12) = 3.93 Prob > chi2 = 0.9847 vote | Freq. Percent Cum. ------------+----------------------------------- exleft | 107 17.04 17.04 socdem | 191 30.41 47.45 cen_cpp | 32 5.10 52.55 rad | 32 5.10 57.64 cons | 93 14.81 72.45 lib | 132 21.02 93.47 progess | 41 6.53 100.00 ------------+----------------------------------- Total | 628 100.00 > ................. These are the following stats: test: test that the coeffcients on retnat are jointly 0 in each equation seperately freq: the sample frequencies of people voting for each party pred-value: mean predicted probability of voting for each party, for the sample worse: mean predicted probability of voting for each party (for the sample) when retnat gets worse by one cat > egory better: mean predicted probability of voting for each party (for the sample) when retnat gets worse by one ca > tegory party test freq pv worse better -------------------------------------------------------------------------------- 10 .8980496 .1703822 .1703822 .1748007 .1624686 20 . .3041401 .3041401 .3071366 .2992302 40 .384315 .0509554 .0509554 .0503483 .0529628 41 .5102843 .0509554 .0509554 .0462704 .0576624 60 .8576708 .1480892 .1480892 .1470303 .1498176 70 .6951157 .2101911 .2101911 .2110807 .2097935 80 .7384465 .0652866 .0652866 .0633329 .0680648 party pv sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 10 .1703822 .1912056 .0473741 .1098446 .2875234 20 .3041401 .3113155 .068264 .1908089 .449396 40 .0509554 .0550537 .0364 .0142149 .147379 41 .0509554 .0564911 .0370801 .0140843 .1498266 60 .1480892 .129722 .0457926 .0598658 .2316774 70 .2101911 .1807864 .0504874 .0985323 .2885479 80 .0652866 .0754258 .0399508 .0242291 .1717672 party worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .1748007 .0093388 .0364202 -.0591668 .0806175 20 .3071366 -.0005907 .0467766 -.0919376 .089045 40 .0503483 .0018947 .0288749 -.0539396 .0591162 41 .0462704 -.0077918 .0285733 -.0668001 .0424516 60 .1470303 -.001333 .037833 -.0728022 .0724058 70 .2110807 .0013896 .0401711 -.0799382 .079397 80 .0633329 -.0029076 .0266048 -.0547774 .051887 party better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .1624686 -.0088992 .0351014 -.0774814 .0582584 20 .2992302 -.0028417 .051841 -.1005798 .0967427 40 .0529628 -.000477 .0285835 -.0568069 .0542143 41 .0576624 .0080339 .0291316 -.0437623 .0705071 60 .1498176 .0023146 .0326139 -.0617694 .0658714 70 .2097935 -.0012583 .0366705 -.0719637 .0717719 80 .0680648 .0031278 .0314631 -.0610266 .0665067