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Matching using Semiparametric Propensity Scores. (2004). Lehrer, Steven ; Kordas, Gregory.
In: Econometric Society 2004 North American Summer Meetings.
RePEc:ecm:nasm04:441.

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  1. Evaluating multi-treatment programs: theory and evidence from the U.S. Job Training Partnership Act experiment. (2007). Smith, Jeffrey ; Plesca, Miana.
    In: Empirical Economics.
    RePEc:spr:empeco:v:32:y:2007:i:2:p:491-528.

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  2. Bandwidth Selection and the Estimation of Treatment Effects with Unbalanced Data. (2007). Smith, Jeffrey ; Galdo, Jose ; Black, Dan.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp3095.

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References

References cited by this document

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  14. [21] Smith, Jeffrey, and Petra Todd (2002), Does Matching Overcome LaLondes Critique of Nonexperimental Estimators, forthcoming in Journal of Econometrics.

  15. [22] Todd, Petra (1999), Local Linear Approaches to Program Evaluation using a Semiparametric Propensity Score, mimeo, University of Pennsylvania.
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  16. [3] Dehejia, Rajeev and Sadek Wahba (2002), Propensity Score Matching Methods for NonExperimental Causal Studies, Review of Economics and Statistics, Vol. 84, pp. 151-161.

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  19. [6] Heckman, James J., Hidehiko Ichimura, Jeffrey Smith and Petra Todd (1998), Characterizing Selection Bias using Experimental Data, Econometrica, Vol. 66, pp. 1017-1098.

  20. [7] Heckman, James J., Hidehiko Ichimura and Petra Todd (1998),Matching as an Econometric Evaluation Estimator, Review of Economic Studies, Vol. 65, pp. 261-294.

  21. [8] Heckman, James J., Hidehiko Ichimura and Petra Todd (1997), Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Program, Review of Economic Studies, Vol. 64, pp. 605-654.

  22. [9] Heckman, James J. and Petra Todd, (1995), Adapting Propensity Score Matching and Selection Models to Choice-based Samples, mimeo, University of Chicago.
    Paper not yet in RePEc: Add citation now

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