. webuse margex
(Artificial data for margins)
. logit outcome i.sex i.group
Iteration 0: log likelihood = -1366.0718
Iteration 1: log likelihood = -1207.4432
Iteration 2: log likelihood = -1186.5543
Iteration 3: log likelihood = -1185.6072
Iteration 4: log likelihood = -1185.6063
Iteration 5: log likelihood = -1185.6063
Logistic regression Number of obs = 3000
LR chi2(3) = 360.93
Prob > chi2 = 0.0000
Log likelihood = -1185.6063 Pseudo R2 = 0.1321
------------------------------------------------------------------------------
outcome | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.sex | .5074091 .1289294 3.94 0.000 .2547122 .760106
|
group |
2 | -1.196351 .1251234 -9.56 0.000 -1.441589 -.9511138
3 | -2.591768 .2759998 -9.39 0.000 -3.132718 -2.050819
|
_cons | -1.199567 .1262273 -9.50 0.000 -1.446968 -.9521664
------------------------------------------------------------------------------
. margins sex
Predictive margins Number of obs = 3000
Model VCE : OIM
Expression : Pr(outcome), predict()
------------------------------------------------------------------------------
| Delta-method
| Margin Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
sex |
0 | .1286796 .0111424 11.55 0.000 .106841 .1505182
1 | .1905087 .0089719 21.23 0.000 .1729241 .2080933
------------------------------------------------------------------------------
. margins sex, atmeans
Adjusted predictions Number of obs = 3000
Model VCE : OIM
Expression : Pr(outcome), predict()
at : 0.sex = .4993333 (mean)
1.sex = .5006667 (mean)
1.group = .3996667 (mean)
2.group = .3726667 (mean)
3.group = .2276667 (mean)
------------------------------------------------------------------------------
| Delta-method
| Margin Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
sex |
0 | .0966105 .0089561 10.79 0.000 .0790569 .1141641
1 | .1508362 .0118064 12.78 0.000 .127696 .1739764
------------------------------------------------------------------------------
. margins sex group
Predictive margins Number of obs = 3000
Model VCE : OIM
Expression : Pr(outcome), predict()
------------------------------------------------------------------------------
| Delta-method
| Margin Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
sex |
0 | .1286796 .0111424 11.55 0.000 .106841 .1505182
1 | .1905087 .0089719 21.23 0.000 .1729241 .2080933
|
group |
1 | .2826207 .0146234 19.33 0.000 .2539593 .311282
2 | .1074814 .0094901 11.33 0.000 .0888812 .1260817
3 | .0291065 .0073417 3.96 0.000 .0147169 .043496
------------------------------------------------------------------------------
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