Convenient Estimators for the Panel Probit Model: Further Results
26 Pages Posted: 31 Oct 2008
Date Written: March 2002
Bertschek and Lechner (1998) propose several variants of a GMM estimator based on the period specific regression functions for the panel probit model. The analysis is motivated by the complexity of maximum likelihood estimation and the possibly excessive amount of time involved in maximum simulated likelihood estimation. But, for applications of the size considered in their study, full likelihood estimation is actually straightforward, and resort to GMM estimation for convenience is unnecessary. In this note, we reconsider maximum likelihood based estimation of their panel probit model then examine some extensions which can exploit the heterogeneity contained in their panel data set. Empirical results are obtained using the data set employed in the earlier study.
Keywords: Panel probit model, Multivariate probit, GMM, Simulated likelihood, Latent class, Marginal effects
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