Stata ologit
The ologit command fits a ordered logit model.
Contents
Usage
In terms of syntax and reading output, ologit is very similar to logit. The most apparent difference is the inclusion of cuts.
. use https://www3.nd.edu/~rwilliam/statafiles/mroz.dta
. gen lfstatus = cond(hours==0, 0, cond(inrange(hours,1,1249), 1, 2))
. label define lfstatus 0 "non-participation" 1 "part-time work" 2 "full-time work"
. label values lfstatus lfstatus
. ologit lfstatus kidslt6 kidsge6 age educ exper nwifeinc
Iteration 0: log likelihood = -809.85106
Iteration 1: log likelihood = -686.68524
Iteration 2: log likelihood = -685.50088
Iteration 3: log likelihood = -685.49686
Iteration 4: log likelihood = -685.49686
Ordered logistic regression Number of obs = 753
LR chi2(6) = 248.71
Prob > chi2 = 0.0000
Log likelihood = -685.49686 Pseudo R2 = 0.1536
------------------------------------------------------------------------------
lfstatus | Coefficient Std. err. z P>|z| [95% conf. interval]
-------------+----------------------------------------------------------------
kidslt6 | -1.390614 .1813509 -7.67 0.000 -1.746055 -1.035172
kidsge6 | -.0341089 .0623172 -0.55 0.584 -.1562484 .0880307
age | -.0916151 .0121459 -7.54 0.000 -.1154207 -.0678096
educ | .158401 .0356408 4.44 0.000 .0885464 .2282557
exper | .1159833 .0112204 10.34 0.000 .0939917 .137975
nwifeinc | -.0153582 .0073408 -2.09 0.036 -.0297459 -.0009705
-------------+----------------------------------------------------------------
/cut1 | -1.75244 .7084357 -3.140949 -.3639319
/cut2 | -.3338748 .7054785 -1.716587 1.048838
------------------------------------------------------------------------------The key is to recognize whether ologit or mlogit are more appropriate. Even when there is a natural ordering to the categories, ologit may not be a superior model. See As an example, adapted from https://www.statalist.org/forums/forum/general-stata-discussion/general/1653984-ordinal-or-multinomial-regression?p=1654012#post1654012:
See also
Stata manual for ologit post-estimation