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An Introduction to Alternative Methods in Program Impact Evaluation

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  • Nguyen Viet, Cuong

Abstract

This paper presents an overview of several widely-used methods in program impact evaluation. In addition to a randomization-based method, these methods are categorized into: (i) methods assuming “selection on observable” and (ii) methods assuming “selection on unobservable”. The paper discusses each method under identification assumptions and estimation strategy. Identification assumptions are presented in a unified framework of counterfactual and two equation model. Finally, the paper uses simulated data to illustrate how these methods work under different identification assumptions.

Suggested Citation

  • Nguyen Viet, Cuong, 2006. "An Introduction to Alternative Methods in Program Impact Evaluation," MPRA Paper 24900, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:24900
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    File URL: https://mpra.ub.uni-muenchen.de/24900/1/MPRA_paper_24900.pdf
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    References listed on IDEAS

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    6. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
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    More about this item

    Keywords

    Program impact evaluation; treatment effect; counterfactual; potential outcomes; selection on observable; selection on unobservable.;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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