Posted on 11 November 2010 by Mitch Abdon
Both -logit- and -logistic- are used to estimate binary logistic regression models. Thier difference lies in the reports that they display — -logit- reports coefficients, while -logistic- reports odds ratios. Since the odd ratios can be computed (in terms of the coefficient, b) as e^b, the choice between the two is just a matter of preference. To illustrate, I have posted below the results of -logit- and -logistic- using womenwk.dta, which is used in Christopher Baum’s An Introduction to Modern Econometrics Using Stata.