Download full text
(375.8Kb)
Citation Suggestion
Please use the following Persistent Identifier (PID) to cite this document:
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-239502
Exports for your reference manager
Asymptotic bias reduction for a conditional marginal effects estimator in sample selection models
[journal article]
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)