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Asymptotic bias reduction for a conditional marginal effects estimator in sample selection models

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Abstract:

In this article we discuss the differences between the average marginal effect and the marginal effect of the average individual in sample selection models, estimated by the Heckman procedure. We show that the bias that emerges as a consequence of interchanging the measures, could be very significant, even in the limit. We suggest a computationally cheap approximation method, which corrects the bias to a large extent. We illustrate the implications of our method with an empirical application of earnings assimilation and a small Monte Carlo simulation.

Document Type: Research Article

DOI: https://doi.org/10.1080/00036840600994096

Affiliations: Department of Economics, University of Goteborg, 405 30 Goteborg, Sweden

Publication date: 2008-12-01

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