The modal category for retnat is 2 The maximum category is 3 The minimum category is 1 Multinomial logistic regression Number of obs = 672 LR chi2(60) = 642.93 Prob > chi2 = 0.0000 Log likelihood = -743.49486 Pseudo R2 = 0.3019 ------------------------------------------------------------------------------ vote | RRR Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- exleft | _Iretnat_1 | .4341797 .1798782 -2.01 0.044 .192762 .977952 _Iretnat_3 | 1.98999 .7696218 1.78 0.075 .9325056 4.246686 age | .9732161 .0108203 -2.44 0.015 .9522381 .9946563 male | 1.598997 .5641378 1.33 0.183 .8008249 3.192697 edulevel | 1.913261 .4400493 2.82 0.005 1.218985 3.002965 notrelig | 1.270031 .2381264 1.27 0.202 .8794619 1.834052 urban | 1.066374 .2251753 0.30 0.761 .7049686 1.613054 occupa2 | 2.454604 .9567603 2.30 0.021 1.143401 5.26944 occupa3 | 4.588671 2.579747 2.71 0.007 1.524551 13.81121 demsat | 1.485327 .378978 1.55 0.121 .9008241 2.449088 lrself | .4587428 .0634017 -5.64 0.000 .3498861 .601467 eusup | .6600862 .1442588 -1.90 0.057 .430105 1.01304 -------------+---------------------------------------------------------------- cen_cpp_rad | _Iretnat_1 | .7462226 .279174 -0.78 0.434 .3584429 1.55352 _Iretnat_3 | 1.36379 .5627656 0.75 0.452 .6074359 3.061923 age | 1.000892 .0098601 0.09 0.928 .9817518 1.020405 male | 2.078346 .7129856 2.13 0.033 1.060986 4.071236 edulevel | 2.016511 .4345344 3.25 0.001 1.321833 3.07627 notrelig | .7110362 .1696074 -1.43 0.153 .4455023 1.134837 urban | .9390991 .1997303 -0.30 0.768 .6189784 1.424779 occupa2 | 1.499242 .5524937 1.10 0.272 .7280999 3.087114 occupa3 | 3.227964 1.589021 2.38 0.017 1.230014 8.471245 demsat | 1.485283 .3637815 1.62 0.106 .9190293 2.400429 lrself | 1.3896 .1573154 2.91 0.004 1.113079 1.734817 eusup | 1.205379 .2717145 0.83 0.407 .7749028 1.874995 -------------+---------------------------------------------------------------- cons | _Iretnat_1 | .549088 .222078 -1.48 0.138 .2485275 1.213136 _Iretnat_3 | 1.808473 .7081948 1.51 0.130 .8394276 3.896198 age | 1.004938 .0097799 0.51 0.613 .9859519 1.024291 male | 1.293808 .4433569 0.75 0.452 .6609731 2.532539 edulevel | 1.350924 .2705127 1.50 0.133 .9123969 2.00022 notrelig | .8920158 .1892081 -0.54 0.590 .5886019 1.351834 urban | 1.085531 .2395007 0.37 0.710 .7044365 1.672796 occupa2 | 2.584756 1.071518 2.29 0.022 1.146968 5.824889 occupa3 | 6.216553 3.178545 3.57 0.000 2.282061 16.93448 demsat | 1.194112 .2983241 0.71 0.478 .731796 1.948498 lrself | 3.281027 .4172673 9.34 0.000 2.557158 4.209806 eusup | 2.857696 .8221972 3.65 0.000 1.625975 5.022478 -------------+---------------------------------------------------------------- lib | _Iretnat_1 | .7142947 .2112226 -1.14 0.255 .4001017 1.275218 _Iretnat_3 | 1.942096 .6202808 2.08 0.038 1.038503 3.631898 age | .9845749 .0076248 -2.01 0.045 .9697435 .9996332 male | 1.153583 .3060016 0.54 0.590 .6858945 1.940171 edulevel | 1.151649 .1736067 0.94 0.349 .8570471 1.547517 notrelig | .7585352 .1341396 -1.56 0.118 .5363509 1.07276 urban | .7502025 .1262686 -1.71 0.088 .5393995 1.04339 occupa2 | 2.025653 .5783251 2.47 0.013 1.157568 3.544734 occupa3 | 3.061952 1.257077 2.73 0.006 1.369429 6.846317 demsat | .979893 .1960167 -0.10 0.919 .662072 1.450281 lrself | 2.612925 .2552843 9.83 0.000 2.157565 3.164388 eusup | 1.873699 .3524084 3.34 0.001 1.295998 2.708914 -------------+---------------------------------------------------------------- progess | _Iretnat_1 | .7923561 .5047382 -0.37 0.715 .2273511 2.761492 _Iretnat_3 | 1.848825 1.058368 1.07 0.283 .6020349 5.677669 age | .9784772 .0147398 -1.44 0.149 .9500101 1.007797 male | 1.849527 1.003173 1.13 0.257 .6388131 5.354851 edulevel | .9138399 .2443186 -0.34 0.736 .5411256 1.543271 notrelig | 1.131596 .3535897 0.40 0.692 .6133612 2.087691 urban | .5033401 .1691966 -2.04 0.041 .2604547 .9727269 occupa2 | 1.155405 .6456038 0.26 0.796 .3864647 3.45429 occupa3 | 2.620562 1.820799 1.39 0.166 .6713808 10.22869 demsat | 2.061371 .7330137 2.03 0.042 1.026769 4.138466 lrself | 2.81237 .4676519 6.22 0.000 2.030165 3.895952 eusup | .4762037 .1605825 -2.20 0.028 .2458985 .9222096 ------------------------------------------------------------------------------ (Outcome vote==socdem is the comparison group) test for all economic coeffcients in all equations are 0: ( 1) [exleft]_Iretnat_1 = 0 ( 2) [cen_cpp_rad]_Iretnat_1 = 0 ( 3) [cons]_Iretnat_1 = 0 ( 4) [lib]_Iretnat_1 = 0 ( 5) [progess]_Iretnat_1 = 0 ( 6) [exleft]_Iretnat_3 = 0 ( 7) [cen_cpp_rad]_Iretnat_3 = 0 ( 8) [cons]_Iretnat_3 = 0 ( 9) [lib]_Iretnat_3 = 0 (10) [progess]_Iretnat_3 = 0 chi2( 10) = 17.20 Prob > chi2 = 0.0701 vote | Freq. Percent Cum. ------------+----------------------------------- exleft | 83 12.35 12.35 socdem | 212 31.55 43.90 cen_cpp_rad | 57 8.48 52.38 cons | 87 12.95 65.33 lib | 207 30.80 96.13 progess | 26 3.87 100.00 ------------+----------------------------------- Total | 672 100.00 > ....................... 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 categ > ory better: mean predicted probability of voting for each party (for the sample) when retnat gets worse by one cate > gory party test freq pv worse better -------------------------------------------------------------------------------- 10 .0056663 .1235119 .1226735 .150735 .0933964 20 . .3154762 .3258699 .2604206 .3857088 40 .4215746 .0848214 .0853169 .0824293 .0869999 60 .0327752 .1294643 .1245541 .1355518 .1107245 70 .0177663 .3080357 .3029366 .3301995 .2856998 80 .3938356 .0386905 .0386489 .0406639 .0374707 party pv sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 10 .1226735 .1334623 .0366268 .0729357 .2119598 20 .3258699 .2997161 .0616996 .1902183 .426238 40 .0853169 .095797 .0451759 .0332129 .2056506 60 .1245541 .1269084 .0440342 .06065 .2280314 70 .3029366 .3041213 .0607417 .1913889 .4236468 80 .0386489 .0399949 .0312051 .007285 .124691 party worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .150735 .0337385 .0267156 -.0130402 .0905519 20 .2604206 -.079678 .0481643 -.1773479 .0120766 40 .0824293 -.0063894 .0314312 -.0718805 .0569546 60 .1355518 .0131761 .031993 -.0464965 .0852397 70 .3301995 .035635 .0450222 -.0553211 .1253715 80 .0406639 .0035179 .0240533 -.0411203 .0550511 party better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .0933964 -.0373614 .0285851 -.0994278 .0150602 20 .3857088 .0747845 .0488782 -.0154056 .1767748 40 .0869999 .0010489 .0285347 -.0566908 .0618897 60 .1107245 -.0170363 .0320231 -.0869769 .04746 70 .2856998 -.0216061 .0423067 -.1091507 .0633517 80 .0374707 .0001703 .025063 -.0456273 .0557001