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Some Practical Guidance for the Implementation of Propensity Score Matching

Marco Caliendo

University of Potsdam; Institute for the Study of Labor (IZA)

Sabine Kopeinig

University of Cologne

May 2005

IZA Discussion Paper No. 1588

Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment effects. It is widely applied when evaluating labour market policies, but empirical examples can be found in very diverse fields of study. Once the researcher has decided to use PSM, he is confronted with a lot of questions regarding its implementation. To begin with, a first decision has to be made concerning the estimation of the propensity score. Following that one has to decide which matching algorithm to choose and determine the region of common support. Subsequently, the matching quality has to be assessed and treatment effects and their standard errors have to be estimated. Furthermore, questions like "what to do if there is choice-based sampling?" or "when to measure effects?" can be important in empirical studies. Finally, one might also want to test the sensitivity of estimated treatment effects with respect to unobserved heterogeneity or failure of the common support condition. Each implementation step involves a lot of decisions and different approaches can be thought of. The aim of this paper is to discuss these implementation issues and give some guidance to researchers who want to use PSM for evaluation purposes.

Number of Pages in PDF File: 32

Keywords: propensity score matching, implementation, evaluation, sensitivity

JEL Classification: C40, H43

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Date posted: May 11, 2005  

Suggested Citation

Caliendo, Marco and Kopeinig, Sabine, Some Practical Guidance for the Implementation of Propensity Score Matching (May 2005). IZA Discussion Paper No. 1588. Available at SSRN: https://ssrn.com/abstract=721907

Contact Information

Marco Caliendo (Contact Author)
University of Potsdam ( email )
August-Bebel Strasse 89
Potsdam, DE 14482
+49(0)331/9773225 (Phone)
+49(0)331/9773210 (Fax)
HOME PAGE: http://www.uni-potsdam.de/en/empwifo/news.html
Institute for the Study of Labor (IZA) ( email )
P.O. Box 7240
Bonn, D-53072

Sabine Kopeinig
University of Cologne ( email )
Cologne, 50923
Feedback to SSRN

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