An Introduction to Alternative Methods in Program Impact Evaluation
AbstractThis 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 24900.
Date of creation: 01 Dec 2006
Date of revision:
Publication status: Published in Mansholt Working Papers No. 33.Year 2(2007): pp. 1-50
Program impact evaluation; treatment effect; counterfactual; potential outcomes; selection on observable; selection on unobservable.;
Find related papers by 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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