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Matching Methods in Practice: Three Examples

Matching Methods in Practice: Three Examples <p>There is a large theoretical literature on methods for estimating causal effects under unconfoundedness, exogeneity, or selection-on-observables type assumptions using matching or propensity score methods. Much of this literature is highly technical and has not made inroads into empirical practice where many researchers continue to use simple methods such as ordinary least squares regression even in settings where those methods do not have attractive properties. In this paper, I discuss some of the lessons for practice from the theoretical literature and provide detailed recommendations on what to do. I illustrate the recommendations with three detailed applications.</p> http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Human Resources University of Wisconsin Press

Matching Methods in Practice: Three Examples

Journal of Human Resources , Volume 50 (2) – May 8, 2015

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Publisher
University of Wisconsin Press
Copyright
©by the Board of Regents of the University of Wisconsin System
ISSN
1548-8004

Abstract

<p>There is a large theoretical literature on methods for estimating causal effects under unconfoundedness, exogeneity, or selection-on-observables type assumptions using matching or propensity score methods. Much of this literature is highly technical and has not made inroads into empirical practice where many researchers continue to use simple methods such as ordinary least squares regression even in settings where those methods do not have attractive properties. In this paper, I discuss some of the lessons for practice from the theoretical literature and provide detailed recommendations on what to do. I illustrate the recommendations with three detailed applications.</p>

Journal

Journal of Human ResourcesUniversity of Wisconsin Press

Published: May 8, 2015

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