The modal category for retnat is 2 The maximum category is 3 The minimum category is 1 Multinomial logistic regression Number of obs = 543 LR chi2(24) = 567.15 Prob > chi2 = 0.0000 Log likelihood = -224.07535 Pseudo R2 = 0.5586 ------------------------------------------------------------------------------ vote | RRR Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- comm | _Iretnat_1 | .3893644 .1609232 -2.28 0.022 .1732037 .8752969 _Iretnat_3 | 3.788091 2.036019 2.48 0.013 1.321045 10.86234 age | .9975361 .0131818 -0.19 0.852 .9720319 1.023709 male | .8661108 .2841144 -0.44 0.661 .4553547 1.647393 income | .8038964 .1451018 -1.21 0.227 .5643646 1.145092 edulevel | .8843614 .1320891 -0.82 0.411 .6599233 1.18513 notrelig | 1.659531 .520828 1.61 0.107 .8971059 3.069918 urban | 1.321011 .2557614 1.44 0.150 .9038682 1.930669 occupa2 | 1.233276 .5040166 0.51 0.608 .5535923 2.747453 occupa3 | .9133305 .459284 -0.18 0.857 .3408683 2.447199 demsat | 2.038641 .3813613 3.81 0.000 1.412894 2.941522 lrself | .3345366 .0473214 -7.74 0.000 .2535351 .4414172 -------------+---------------------------------------------------------------- newdem | _Iretnat_1 | .5618253 .2700504 -1.20 0.230 .2190068 1.441269 _Iretnat_3 | 4.701913 2.43377 2.99 0.003 1.704832 12.96783 age | 1.016711 .0149294 1.13 0.259 .9878665 1.046397 male | .9940417 .3997907 -0.01 0.988 .4519209 2.186487 income | 1.058238 .2210032 0.27 0.786 .7027774 1.593488 edulevel | .8925049 .1515061 -0.67 0.503 .6399056 1.244817 notrelig | .4431006 .3188599 -1.13 0.258 .1081356 1.815666 urban | .9308949 .2262581 -0.29 0.768 .5781125 1.498956 occupa2 | 1.167231 .5712321 0.32 0.752 .4472871 3.04598 occupa3 | .5647322 .3617994 -0.89 0.372 .1608847 1.982305 demsat | 1.861757 .4253991 2.72 0.007 1.189677 2.913512 lrself | 2.929054 .3676005 8.56 0.000 2.290342 3.745885 ------------------------------------------------------------------------------ (Outcome vote==pasok is the comparison group) test for all economic coeffcients in all equations are 0: ( 1) [comm]_Iretnat_1 = 0 ( 2) [newdem]_Iretnat_1 = 0 ( 3) [comm]_Iretnat_3 = 0 ( 4) [newdem]_Iretnat_3 = 0 chi2( 4) = 39.18 Prob > chi2 = 0.0000 vote | Freq. Percent Cum. ------------+----------------------------------- comm | 100 18.42 18.42 pasok | 333 61.33 79.74 newdem | 110 20.26 100.00 ------------+----------------------------------- Total | 543 100.00 > .98 .98 .98 .99 .99 .99 .99 .99 .99 1 1 1 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 category better: mean predicted probability of voting for each party (for the sample) when retnat gets worse by one category party test freq pv worse better all_neutral all_worse all_better -------------------------------------------------------------------------------- 10 .0000186 .1841621 .1633989 .2293986 .136662 .1924179 .3015115 .1266007 20 . .6132597 .6142099 .502498 .6852076 .6017372 .3730663 .7041853 60 .0000389 .2025783 .2223913 .2681034 .1781304 .2058449 .3254222 .169214 party pv sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 10 .1633989 .1881306 .0443778 .1132169 .2827418 20 .6142099 .6071682 .0698591 .4673949 .7341362 60 .2223913 .2047012 .0374871 .1419962 .2827063 party worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .2293986 .0935804 .0522321 .0119918 .2098204 20 .502498 -.1393843 .0706415 -.2921949 -.0228915 60 .2681034 .0458039 .0335456 -.0054928 .1229363 party better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .136662 -.0643646 .0376809 -.1496059 -.0061792 20 .6852076 .1437711 .072027 .0243297 .2992501 60 .1781304 -.0794065 .0490582 -.1878646 -.000625 party all_worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .3015115 .118946 .0654602 .0144271 .2615639 20 .3730663 -.2171821 .0896715 -.4045791 -.0634262 60 .3254222 .0982361 .0510341 .0211131 .2150998 party all_better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .1266007 -.0744572 .0414902 -.1681635 -.0107328 20 .7041853 .1052435 .0658803 -.002046 .2502057 60 .169214 -.0307863 .0333186 -.106082 .0226668 party LOGIT sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 10 .1887489 .0443005 .11409 .283479 20 .6099087 .0622049 .4841442 .725425 60 .2063875 .0381667 .1435154 .2874013 party LOGIT sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .0955022 .0518844 .0148238 .2110853 20 -.1402517 .0554477 -.2545214 -.0448734 60 .0471706 .034951 -.0033824 .1293391 party LOGIT sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 -.0664359 .0382027 -.1539841 -.0092173 20 .1834573 .062429 .0735226 .310544 60 -.0798892 .0510286 -.1943853 -.0023916 party LOGIT all_sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .1085339 .0632025 .0089959 .2475774 20 -.3064211 .0742763 -.4506666 -.1680081 60 .1024039 .0566298 .0223162 .2326526 party LOGIT all_sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 -.0784241 .0417852 -.1729789 -.0144632 20 .0860213 .0515048 .0004422 .1945094 60 -.0304636 .0330547 -.108267 .0199692