Asymptotic bias reduction for a conditional marginal effects estimator in sample selection models
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, 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
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Postprint
begutachtet (peer reviewed)
In: Applied Economics ; 40 (2008) 24 ; 3101-3110
- Classification
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Wirtschaft
- Event
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Veröffentlichung
- (where)
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Mannheim
- (when)
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2008
- Creator
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Tsakas, Elias
Akay, Alpaslan
- DOI
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10.1080/00036840600994096
- URN
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urn:nbn:de:0168-ssoar-239502
- Rights
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Open Access unbekannt; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:54 AM CEST
Data provider
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Associated
- Tsakas, Elias
- Akay, Alpaslan
Time of origin
- 2008
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