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Estimation of average treatment effects based on propensity scores

Author

Listed:
  • Sascha O. Becker

    (University of Munich)

  • Andrea Ichino

    (European University Institute)

Abstract

In this paper, we give a short overview of some propensity score matching estimators suggested in the evaluation literature, and we provide a set of Stata programs,which we illustrate using the National Supported Work (NSW) demonstration widely known in labor economics. Copyright 2002 by Stata Corporation.

Suggested Citation

  • Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LLC, vol. 2(4), pages 358-377, November.
    • Handle: RePEc:tsj:stataj:v:2:y:2002:i:4:p:358-377
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    References listed on IDEAS

    as
    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc.
    3. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    Full references (including those not matched with items on IDEAS)

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