The distinction between logit and probit is almost always inconsequential. You are very likely to arrive at the same substantive conclusions with either model, because the distributions differ only slightly. David Greenberg, Sociology Department, New York University
----- Original Message -----
From: Yun Liu <[email protected]>
Date: Monday, April 23, 2007 3:48 pm
Subject: st: unbalanced binary dependent variable
To: [email protected]
> Dear statalist,
>
> I have a model with binary dependent variable. Only 16% of the
> observations are ones, the rest are zeros. How to determine whether to
> use logit, probit or other models? Thank you!
>
> Yun
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
