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A Full InformationMaximum Likelihood Approach to Estimating the Sample Selection Model with Endogenous Covariates

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  • Schwiebert, Jörg

Abstract

In this paper we establish a full information maximum likelihood approach to estimating the sample selection model with endogenous covariates. We also provide a test for exogeneity which indicates whether endogeneity is in fact a matter or not. In contrast to other methods proposed in the literature which deal with sample selection and endogeneity, our approach is computationally simple and provides exact asymptotic standard errors derived from common maximum likelihood theory. A Monte Carlo study and an empirical example are presented which indicate that not accounting for endogeneity in sample selection models may lead to severely biased parameter estimates.

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File URL: http://diskussionspapiere.wiwi.uni-hannover.de/pdf_bib/dp-483.pdf
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Bibliographic Info

Paper provided by Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät in its series Hannover Economic Papers (HEP) with number dp-483.

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Length: 21 pages
Date of creation: Nov 2011
Date of revision:
Handle: RePEc:han:dpaper:dp-483

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Keywords: Sample Selection Model; Endogeneity; Maximum Likelihood Estimation; Female Labor Supply;

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  1. Newey, Whitney K., 1987. "Efficient estimation of limited dependent variable models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 36(3), pages 231-250, November.
  2. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863 Elsevier.
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