Convenient estimators for the panel probit model: Further results

William Greene

Empirical Economics, 2004, vol. 29, issue 1, 47 pages

Abstract: 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. Copyright Springer-Verlag 2004

Keywords: Panel probit model; multivariate probit; GMM; simulated likelihood; latent class; marginal effects; C14; C23; C25 (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (43)

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DOI: 10.1007/s00181-003-0187-z

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