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Estimating and Interpreting Models With Endogenous Treatment Effects

Estimating and Interpreting Models With Endogenous Treatment Effects This article examines the relationship between two alternative approaches, instrumental variables and control function procedures, for estimating the impact of endogenous treatment effects. Although it is well known that the two approaches generate comparable estimates, the relationship between the estimators and their accompanying endogeneity tests appears not to be well understood. We show that the two procedures are closely related. We also examine the implications of the two procedures for the underlying economic sorting behavior. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Business & Economic Statistics Taylor & Francis

Estimating and Interpreting Models With Endogenous Treatment Effects

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References (29)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1537-2707
eISSN
0735-0015
DOI
10.1080/07350015.1999.10524835
Publisher site
See Article on Publisher Site

Abstract

This article examines the relationship between two alternative approaches, instrumental variables and control function procedures, for estimating the impact of endogenous treatment effects. Although it is well known that the two approaches generate comparable estimates, the relationship between the estimators and their accompanying endogeneity tests appears not to be well understood. We show that the two procedures are closely related. We also examine the implications of the two procedures for the underlying economic sorting behavior.

Journal

Journal of Business & Economic StatisticsTaylor & Francis

Published: Oct 1, 1999

Keywords: Control function estimators; Endogenous treatment effects; Instrumental variables; Roy model

There are no references for this article.