I could not get outputs after -margins. Following are estimations followed by -margins- outputs I tried.
Please, give me some tips.
Thank you!
Stata/SE15.1
Code:
svy: logit outcome i.area ib4.regioncat##ib3.racegr ib2.religiongr, or
Survey: Logistic regression
Number of strata = 25 Number of obs = 66,646
Number of PSUs = 643 Population size = 70,192,055,195
Design df = 618
F( 45, 574) = 43.93
Prob > F = 0.0000
Linearized
outcome Odds Ratio Std. Err. t P>t [95% Conf. Interval]
area
1. urban .0835804 .0125031 -16.59 0.000 .0623046 .1121213
regioncat
1 1.025258 .8979741 0.03 0.977 .1835878 5.72562
2 .9092481 .1943731 -0.45 0.656 .5975318 1.383578
3 1.310006 .5388324 0.66 0.512 .5840765 2.938171
5 3.232748 1.538087 2.47 0.014 1.269959 8.229132
6 .8561843 .2605688 -0.51 0.610 .4709844 1.556424
7 .7128268 .6173313 -0.39 0.696 .1301275 3.904802
8 .8234594 .4722414 -0.34 0.735 .2670135 2.539517
9 .3628347 .1297489 -2.84 0.005 .1797727 .7323083
10 .269039 .085032 -4.15 0.000 .1446299 .5004634
11 .5037759 .1301818 -2.65 0.008 .3032808 .8368155
racegr
a .3689747 .4351744 -0.85 0.398 .0364004 3.74013
b .2082834 .056631 -5.77 0.000 .1221136 .3552591
d 7.914092 2.710165 6.04 0.000 4.039586 15.50477
e .5388151 .212633 -1.57 0.118 .2482392 1.169524
f 1.404861 1.214217 0.39 0.694 .2573349 7.669517
regioncat#racegr
1#a 2.090985 3.080763 0.50 0.617 .115816 37.75144
1#b 3.99385 4.043382 1.37 0.172 .5469436 29.16359
1#c 1 (empty)
1#d 1 (empty)
1#e 1 (empty)
1#f 1 (omitted)
2#a 1.698745 2.038181 0.44 0.659 .1610051 17.92326
2#b 4.256129 2.231188 2.76 0.006 1.520247 11.91559
2#d 1 (omitted)
2#e 1 (empty)
2#f 1.244558 1.52971 0.18 0.859 .1113611 13.90902
3#a 2.477039 4.036146 0.56 0.578 .1009817 60.76069
3#b 3.606681 1.739313 2.66 0.008 1.398982 9.298292
3#d 1 (empty)
3#e 1 (empty)
3#f .4644322 .4735265 -0.75 0.452 .0627119 3.439495
4#a 1 (empty)
4#d 1 (empty)
4#e 1 (empty)
5#a 1 (empty)
5#b 1.38613 .784563 0.58 0.564 .4561106 4.212478
5#d 1 (empty)
5#e .8733223 .5661241 -0.21 0.835 .244516 3.11919
5#f 1.12904 1.101669 0.12 0.901 .1661549 7.671946
6#a 1 (empty)
6#b 2.508006 1.073442 2.15 0.032 1.082167 5.8125
6#d 1 (empty)
6#e 1 (empty)
6#f .6278218 .6355393 -0.46 0.646 .0859965 4.583446
7#a .4122212 .8005599 -0.46 0.648 .0090949 18.68366
7#b 2.786496 2.51259 1.14 0.256 .4742658 16.37175
7#c 1 (empty)
7#d 1 (empty)
7#e 1 (empty)
7#f 1 (omitted)
8#a 4.461197 7.192535 0.93 0.354 .1881111 105.8006
8#b 2.358565 1.097496 1.84 0.066 .9457721 5.881785
8#d 1 (empty)
8#e 1 (empty)
8#f .9118392 .9148982 -0.09 0.927 .1271116 6.541107
9#a 4.961611 7.200403 1.10 0.270 .2870222 85.7689
9#b 2.368894 1.049722 1.95 0.052 .9922349 5.655574
9#d 1 (empty)
9#e 1 (empty)
9#f .1044567 .1222896 -1.93 0.054 .0104824 1.040903
10#a 1.376784 1.736949 0.25 0.800 .1155801 16.40017
10#b 2.576282 .9501596 2.57 0.011 1.248663 5.315466
10#d 1 (empty)
10#e 1 (empty)
10#f .9475733 .8867922 -0.06 0.954 .150816 5.953579
11#a 1 (omitted)
11#b .7989281 .3553497 -0.50 0.614 .3335529 1.913598
11#d 1 (empty)
11#e 1 (omitted)
11#f .3126073 .3051765 -1.19 0.234 .0459622 2.126169
religiongr
1 .6818768 .100134 -2.61 0.009 .5110474 .9098099
3 .6116552 .1030731 -2.92 0.004 .439324 .8515858
4 1.025557 .575043 0.05 0.964 .3409917 3.084438
_cons 17.47845 2.547655 19.63 0.000 13.1277 23.27113
Note: _cons estimates baseline odds.
Code:
. margins regioncat
Predictive margins Number of obs = 66,646
Model VCE : Linearized
Expression : Pr(outcome), predict()
Delta-method
Margin Std. Err. t P>t [95% Conf. Interval]
regioncat
1 . (not estimable)
2 . (not estimable)
3 . (not estimable)
4 . (not estimable)
5 . (not estimable)
6 . (not estimable)
7 . (not estimable)
8 . (not estimable)
9 . (not estimable)
10 . (not estimable)
11 . (not estimable)
Code:
. margins racegr
Predictive margins Number of obs = 66,646
Model VCE : Linearized
Expression : Pr(outcome), predict()
Delta-method
Margin Std. Err. t P>t [95% Conf. Interval]
racegr
a . (not estimable)
b .7450445 .0186802 39.88 0.000 .7083602 .7817289
c . (not estimable)
d . (not estimable)
e . (not estimable)
f .8649427 .0236629 36.55 0.000 .8184733 .9114121
Code:
margins, dydx(*) Average marginal effects Number of obs = 66,646 Model VCE : Linearized Expression : Pr(outcome), predict() dy/dx w.r.t. : 1.area 1.regioncat 2.regioncat 3.regioncat 5.regioncat 6.regioncat 7.regioncat 8.regioncat 9.regioncat 10.regioncat 11.regioncat 1.racegr 2.racegr 4.racegr 5.racegr 6.racegr 1.religiongr 3.religiongr 4.religiongr Delta-method dy/dx Std. Err. t P>t [95% Conf. Interval] area 1. urban -.4167797 .031168 -13.37 0.000 -.4779877 -.3555718 regioncat 1 . (not estimable) 2 . (not estimable) 3 . (not estimable) 5 . (not estimable) 6 . (not estimable) 7 . (not estimable) 8 . (not estimable) 9 . (not estimable) 10 . (not estimable) 11 . (not estimable) racegr a . (not estimable) b . (not estimable) d . (not estimable) e . (not estimable) f . (not estimable) religiongr 1 -.0341583 .0130972 -2.61 0.009 -.0598787 -.0084378 3 -.0450536 .0159127 -2.83 0.005 -.076303 -.0138041 4 .002038 .0450285 0.05 0.964 -.0863895 .0904654 Note: dy/dx for factor levels is the discrete change from the base level.
0 Response to -margins- . *(not estimable)
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