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Using Randomization in Development Economics Research: A Toolkit

Esther Duflo, Rachel Glennerster () and Michael Kremer

No 6059, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: This paper is a practical guide (a toolkit) for researchers, students and practitioners wishing to introduce randomization as part of a research design in the field. It first covers the rationale for the use of randomization, as a solution to selection bias and a partial solution to publication biases. Second, it discusses various ways in which randomization can be practically introduced in a field settings. Third, it discusses designs issues such as sample size requirements, stratification, level of randomization and data collection methods. Fourth, it discusses how to analyze data from randomized evaluations when there are departures from the basic framework. It reviews in particular how to handle imperfect compliance and externalities. Finally, it discusses some of the issues involved in drawing general conclusions from randomized evaluations, including the necessary use of theory as a guide when designing evaluations and interpreting results.

Keywords: development; experiments; program evaluation (search for similar items in EconPapers)
JEL-codes: C93 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-ppm
Date: 2007-01
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Related works:
Chapter: Using Randomization in Development Economics Research: A Toolkit (2008) Downloads
Working Paper: Using Randomization in Development Economics Research: A Toolkit (2006) Downloads
Working Paper: Using Randomization in Development Economics Research: A Toolkit (2006) Downloads
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