Matching Methods in Practice: Three Examples

Guido Imbens

Journal of Human Resources, 2015, vol. 50, issue 2, 373-419

Abstract: 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.

Date: 2015
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Working Paper: Matching Methods in Practice: Three Examples (2014)
Working Paper: Matching Methods in Practice: Three Examples (2014)
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