Multinomial logistic regression Number of obs = 481 LR chi2(24) = 362.72 Prob > chi2 = 0.0000 Log likelihood = -273.35853 Pseudo R2 = 0.3988 ------------------------------------------------------------------------------ vote | RRR Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- exleft | Iretnat1 | .1203555 .1294688 -1.97 0.049 .0146154 .991106 Iretnat3 | 2.12018 1.338818 1.19 0.234 .6149923 7.309303 age | .9855211 .0129025 -1.11 0.265 .9605545 1.011137 male | 1.055357 .50301 0.11 0.910 .4146626 2.685986 edulevel | .6881231 .1900813 -1.35 0.176 .4004401 1.182483 notrelig | 1.390077 .5774901 0.79 0.428 .6157692 3.13805 urban | 1.301553 .3759858 0.91 0.362 .7388752 2.292728 occupa2 | 1.58179 .9001744 0.81 0.420 .5184916 4.825648 occupa3 | 1.060384 .6574878 0.09 0.925 .3145417 3.574769 demsat | 1.537824 .5424632 1.22 0.222 .7702782 3.070193 lrself | .0737368 .0176461 -10.89 0.000 .0461298 .1178656 eusup | .5718738 .2297493 -1.39 0.164 .2602144 1.256808 -------------+---------------------------------------------------------------- psp | Iretnat1 | .5873543 .2465953 -1.27 0.205 .2579474 1.337424 Iretnat3 | .9396193 .3031127 -0.19 0.847 .4993005 1.768242 age | .986368 .0071819 -1.89 0.059 .9723917 1.000545 male | .9061131 .2386585 -0.37 0.708 .540738 1.518371 edulevel | .9253222 .1278842 -0.56 0.574 .7057528 1.213203 notrelig | 1.203371 .310661 0.72 0.473 .7255278 1.995928 urban | .9178181 .1447217 -0.54 0.587 .6738124 1.250185 occupa2 | 1.088327 .3625765 0.25 0.799 .566476 2.090921 occupa3 | .7173725 .2199754 -1.08 0.279 .3933073 1.308451 demsat | 1.300353 .2572927 1.33 0.184 .8823468 1.916387 lrself | .225661 .0375907 -8.94 0.000 .1628032 .3127878 eusup | .7026873 .16673 -1.49 0.137 .4413605 1.118744 ------------------------------------------------------------------------------ (vote==psd is the base outcome)