|From||"Guillaume Frechette" <email@example.com>|
|Subject||Re: st: Categorical dependent variables and large dummy variable data sets|
|Date||Wed, 18 Dec 2002 16:42:20 +0000|
yes, but you might also want to look at xtlogit, xtprobit, gllamm, and reoprob.What is the best way to handle this? If I were using OLS to estimate the models; areg, absorb(cluster) would seem to be the way to go. However, I need to use variants of logistic regression (mlogit, ologit). I have also looked into using the ,robust option to calculate robust standard errors. Will this provide correct standard error estimates?