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

We discuss the estimation of a regression model with an ordered- probit 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. Copyright 2007 by StataCorp LP.

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Year of publication:	2007
Authors:	Chiburis, Richard ; Lokshin, Michael
Published in:	Stata Journal. - StataCorp LP. - Vol. 7.2007, 2, p. 167-182
Publisher:	StataCorp LP
Subject:	oheckman \| selection bias \| ordered probit \| maximum likelihood

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005748392