Using Randomization in Development Economics Research: A Toolkit
Resource type
Authors/contributors
- Duflo, Esther (Author)
- Glennerster, Rachel (Author)
- Kremer, Michael (Author)
Title
Using Randomization in Development Economics Research: A Toolkit
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.
Report Number
333
Report Type
Working Paper
Institution
National Bureau of Economic Research
Date
December 2006
Short Title
Using Randomization in Development Economics Research
Accessed
19/10/2018, 15:12
Library Catalogue
National Bureau of Economic Research
Extra
DOI: 10.3386/t0333
Citation
Duflo, E., Glennerster, R., & Kremer, M. (2006). Using Randomization in Development Economics Research: A Toolkit (Working Paper No. 333). National Bureau of Economic Research. https://doi.org/10.3386/t0333
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