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

[journal article]

Tsakas, Elias
Akay, Alpaslan

Abstract

In this paper 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,... view more

In this paper 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.... view less

Document language
English

Publication Year
2008

Page/Pages
p. 3101-3110

Journal
Applied Economics, 40 (2008) 24

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

Status
Postprint; peer reviewed

Licence
PEER Licence Agreement (applicable only to documents from PEER project)


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.