The modal category for retnat is 2 The maximum category is 3 The minimum category is 1 Multinomial logistic regression Number of obs = 427 LR chi2(39) = 455.51 Prob > chi2 = 0.0000 Log likelihood = -328.45202 Pseudo R2 = 0.4095 ------------------------------------------------------------------------------ vote | RRR Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- exleft | _Iretnat_1 | .8592579 .3326098 -0.39 0.695 .4023761 1.83491 _Iretnat_3 | .9343749 .4616522 -0.14 0.891 .3547831 2.460817 age | .9712378 .0127356 -2.23 0.026 .9465945 .9965226 male | .521908 .1838684 -1.85 0.065 .2616467 1.041053 edulevel | 1.616878 .3426421 2.27 0.023 1.067319 2.449404 notrelig | .9552046 .2014248 -0.22 0.828 .6318337 1.444076 urban | .7809792 .167807 -1.15 0.250 .5125591 1.189967 unionhld | .5752547 .2227 -1.43 0.153 .2693594 1.228537 occupa2 | .8105004 .3191516 -0.53 0.594 .374606 1.753605 occupa3 | .3901684 .280891 -1.31 0.191 .0951597 1.599747 demsat | 1.719919 .4898791 1.90 0.057 .984154 3.005751 lrself | .53757 .0686585 -4.86 0.000 .4185232 .6904791 eusup | .2398009 .0693071 -4.94 0.000 .1360934 .4225367 -------------+---------------------------------------------------------------- center | _Iretnat_1 | 1.071904 .4119877 0.18 0.857 .5046559 2.276755 _Iretnat_3 | 1.276467 .6379976 0.49 0.625 .4792542 3.399797 age | .990992 .0111693 -0.80 0.422 .9693406 1.013127 male | 1.002966 .3671398 0.01 0.994 .4894414 2.055285 edulevel | 1.444814 .2994078 1.78 0.076 .9625386 2.168732 notrelig | .7239493 .1862654 -1.26 0.209 .4372219 1.198711 urban | .5255815 .1236669 -2.73 0.006 .3314029 .8335351 unionhld | .8386308 .3101379 -0.48 0.634 .4062412 1.731241 occupa2 | .6546588 .2654081 -1.04 0.296 .2957507 1.44912 occupa3 | 2.419351 1.168606 1.83 0.067 .9387452 6.235195 demsat | 1.457855 .3999384 1.37 0.169 .8515328 2.495901 lrself | 1.218668 .1403346 1.72 0.086 .9724475 1.527231 eusup | .1396446 .0415848 -6.61 0.000 .0779013 .2503245 -------------+---------------------------------------------------------------- cons | _Iretnat_1 | 1.137157 .5670744 0.26 0.797 .4279034 3.022006 _Iretnat_3 | 3.291149 2.209004 1.77 0.076 .8831303 12.26507 age | .9990442 .0127473 -0.07 0.940 .9743696 1.024344 male | .7756381 .332827 -0.59 0.554 .334509 1.7985 edulevel | 1.143225 .2748941 0.56 0.578 .7136019 1.831502 notrelig | .9553325 .2374672 -0.18 0.854 .5869096 1.555027 urban | .8880747 .2119707 -0.50 0.619 .5562627 1.417813 unionhld | .8629028 .3410051 -0.37 0.709 .3977232 1.872159 occupa2 | 1.485792 .7199111 0.82 0.414 .5748111 3.840527 occupa3 | 2.986067 1.699313 1.92 0.055 .9788068 9.109656 demsat | .9057648 .2782007 -0.32 0.747 .496105 1.653702 lrself | 4.090191 .6583528 8.75 0.000 2.983562 5.607278 eusup | 1.594706 .4978343 1.49 0.135 .8648742 2.940412 ------------------------------------------------------------------------------ (Outcome vote==labor is the comparison group) test for all economic coeffcients in all equations are 0: ( 1) [exleft]_Iretnat_1 = 0 ( 2) [center]_Iretnat_1 = 0 ( 3) [cons]_Iretnat_1 = 0 ( 4) [exleft]_Iretnat_3 = 0 ( 5) [center]_Iretnat_3 = 0 ( 6) [cons]_Iretnat_3 = 0 chi2( 6) = 3.84 Prob > chi2 = 0.6982 vote | Freq. Percent Cum. ------------+----------------------------------- exleft | 70 16.39 16.39 labor | 181 42.39 58.78 center | 70 16.39 75.18 cons | 106 24.82 100.00 ------------+----------------------------------- Total | 427 100.00 ..................................................................................... 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 .9259861 .1639344 .1645902 .1649551 .1615651 20 . .4238876 .4209904 .3980169 .4281363 45 .8875539 .1639344 .1729566 .1720884 .1756016 60 .1740822 .2482436 .2414628 .2649395 .2346969 party pv sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 10 .1645902 .1939477 .0632887 .0918766 .322741 20 .4209904 .4171949 .0999446 .2408771 .6069843 45 .1729566 .1364928 .0530057 .0608111 .2541151 60 .2414628 .2523646 .0524949 .162736 .3524251 party worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .1649551 .0052504 .0463504 -.0858994 .0998444 20 .3980169 -.0249442 .0777476 -.1796748 .118797 45 .1720884 .0028133 .0418491 -.0707534 .0894949 60 .2649395 .0168804 .0475545 -.0687958 .1158601 party better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .1615651 -.0129779 .0464027 -.1098281 .0784394 20 .4281363 .0323242 .0738409 -.0993798 .1799722 45 .1756016 .0008025 .0430512 -.0838538 .0802142 60 .2346969 -.0201488 .037874 -.0950119 .0473046