Using Randomization in Development Economics Research: A Toolkit
View/ Open
Published Version
https://www.hks.harvard.edu/centers/cid/publicationsMetadata
Show full item recordCitation
Duflo, Esther, Rachel Glennerster, and Michael Kremer. “Using Randomization in Development Economics Research: A Toolkit.” CID Working Paper Series 2006.138, Harvard University, Cambridge, MA, December 2006.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.Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:42482334
Collections
Contact administrator regarding this item (to report mistakes or request changes)