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The Principles Underlying Evaluation Estimators with an Application to Matching

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  • James J. Heckman

Abstract

This paper has two objectives. The first is to review the basic principles underlying the identification of conventional econometric evaluation estimators and their recent extensions. The second is to apply the analysis to make explicit the implicit assumptions used in the method of matching.

Suggested Citation

  • James J. Heckman, 2008. "The Principles Underlying Evaluation Estimators with an Application to Matching," Annals of Economics and Statistics, GENES, issue 91-92, pages 9-73.
    • Handle: RePEc:adr:anecst:y:2008:i:91-92:p:9-73
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    Cited by:

    1. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory, 2016. "Dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 191(2), pages 276-292.
    2. Christian Dippel & Robert Gold & Stephan Heblich & Rodrigo Pinto, 2017. "Instrumental Variables and Causal Mechanisms: Unpacking the Effect of Trade on Workers and Voters," CESifo Working Paper Series 6816, CESifo.
    3. James J. Heckman & Rodrigo Pinto, 2018. "Unordered Monotonicity," Econometrica, Econometric Society, vol. 86(1), pages 1-35, January.
    4. A. Di Pino & M.G. Campolo & E. Otranto, 2018. "Reducing Bias in a Matching Estimation of Endogenous Treatment Effect," Working Paper CRENoS 201805, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

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