Hello,
Is it possible for Stata to generate a stacked bar graph of predictive margins after mlogit? Example below:
After getting the results, I manually created the figure below using Excel but I'm wondering if Stata can produce something similar. Thank you!
Is it possible for Stata to generate a stacked bar graph of predictive margins after mlogit? Example below:
Code:
use https://stats.idre.ucla.edu/stat/data/hsbdemo, clear qui: mlogit prog i.ses i.female margins ses, predict(outcome(1)) Predictive margins Number of obs = 200 Model VCE : OIM Expression : Pr(prog==general), predict(outcome(1)) ------------------------------------------------------------------------------ | Delta-method | Margin Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ses | low | .3459232 .0704257 4.91 0.000 .2078913 .483955 middle | .2093635 .0416951 5.02 0.000 .1276426 .2910843 high | .15396 .0472522 3.26 0.001 .0613474 .2465726 ------------------------------------------------------------------------------ qui: mlogit prog i.ses i.female margins ses, predict(outcome(2)) Predictive margins Number of obs = 200 Model VCE : OIM Expression : Pr(prog==academic), predict(outcome(2)) ------------------------------------------------------------------------------ | Delta-method | Margin Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ses | low | .3985931 .071842 5.55 0.000 .2577855 .5394008 middle | .4646755 .0512312 9.07 0.000 .3642643 .5650867 high | .7256886 .0585014 12.40 0.000 .611028 .8403492 ------------------------------------------------------------------------------ qui: mlogit prog i.ses i.female margins ses, predict(outcome(3)) Predictive margins Number of obs = 200 Model VCE : OIM Expression : Pr(prog==vocation), predict(outcome(3)) ------------------------------------------------------------------------------ | Delta-method | Margin Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ses | low | .2554837 .0642489 3.98 0.000 .1295582 .3814092 middle | .325961 .0481665 6.77 0.000 .2315564 .4203656 high | .1203514 .0427004 2.82 0.005 .0366601 .2040427 ------------------------------------------------------------------------------