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An optimization-based matching procedure

Author

Listed:
  • Tomás Rau Binder
  • Jorge Rivera Cayupi
  • Rodrigo Krell

Abstract

This paper presents an alternative matching procedure and analyzes it is performance compared to other popular estimators. These tests show that the estimator performs comparably to the popular propensity score method.The proposed method involves the advantage of eliminating the in-convenience of an arbitrary common support determination problem,since it solves this problem objectively.

Suggested Citation

  • Tomás Rau Binder & Jorge Rivera Cayupi & Rodrigo Krell, 2008. "An optimization-based matching procedure," Working Papers wp279, University of Chile, Department of Economics.
    • Handle: RePEc:udc:wpaper:wp279
    as

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    File URL: http://www.econ.uchile.cl/uploads/publicacion/aeb4fe2e-f950-428b-bc3d-3c8560f6d4d5.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. 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.
    4. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    5. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Marcela Munizaga & Sergio Jara-Díaz & Javiera Olguín & Jorge Rivera, 2011. "Generating twins to build weekly time use data from multiple single day OD surveys," Transportation, Springer, vol. 38(3), pages 511-524, May.

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    More about this item

    Keywords

    Matching; propensity score; treatment effect; common support; optimization.;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    Statistics

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