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Experimental and Non-Experimental Methods in Development Economics: A Porous Dialectic

Rajeev Dehejia

Journal of Globalization and Development, 2015, vol. 6, issue 1, 47-69

Abstract: This paper surveys six widely-used non-experimental methods for estimating treatment effects (instrumental variables, regression discontinuity, direct matching, propensity score matching, linear regression and non-parametric methods, and difference-in-differences), and assesses their internal and external validity relative both to each other and to randomized controlled trials. While randomized controlled trials can achieve the highest degree of internal validity when cleanly implemented in the field, the availability of large, nationally representative data sets offers the opportunity for a high degree of external validity using non-experimental methods. We argue that each method has merits in some context and they are complements rather than substitutes.

Keywords: external validity; program evaluation; randomized controlled trials observational studies (search for similar items in EconPapers)
JEL-codes: C18 C52 O12 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (6)

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DOI: 10.1515/jgd-2014-0005

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Journal of Globalization and Development is currently edited by Joseph E. Stiglitz, Kevin Gallagher, Jeronim Capaldo, Arjun Jayadev, José Antonio Ocampo and Dani Rodrik

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