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An Introduction to Alternative Methods in Program Impact Evaluation

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  • Nguyen Viet Cuong

Abstract

During the recent years, researchers as well as policy makers have been increasingly interested in impact evaluation of development programs. A large number of impact evaluations have been developed and applied to measure the impact of programs. Different impact evaluation methods rely on different identification assumptions. 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.

Suggested Citation

  • Nguyen Viet Cuong, 2015. "An Introduction to Alternative Methods in Program Impact Evaluation," Working Papers 2015-619, Department of Research, Ipag Business School.
    • Handle: RePEc:ipg:wpaper:2015-619
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    References listed on IDEAS

    as
    1. Abhijit V. Banerjee & Esther Duflo, 2009. "The Experimental Approach to Development Economics," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 151-178, May.
    2. 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.
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    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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