Maximum likelihood and two-step estimation of an ordered-probit selection model

Abstract

We discuss the estimation of a regression model with an orderedprobit selection rule. We have written a Stata command, oheckman, that computes two-step and full-information maximum-likelihood estimates of this model. Using Monte Carlo simulations, we compare the performances of these estimators under various conditions. © 2007 StataCorp LP.