Using Randomization in Development Economics Research: A Toolkit
Massachusetts Institute of Technology (MIT) - Department of Economics; National Bureau of Economic Research (NBER); Centre for Economic Policy Research (CEPR); Bureau for Research and Economic Analysis of Development (BREAD)
Massachusetts Institute of Technology (MIT) - Department of Economics
Harvard University - Department of Economics; Brookings Institution; National Bureau of Economic Research (NBER); Center for Global Development
December 12, 2006
MIT Department of Economics Working Paper No. 06-36
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 setting. Third, it discusses design 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.
Number of Pages in PDF File: 89
Keywords: Randomized evaluations, Experiments, Development, Program Evaluation
JEL Classification: I0, J0, O0, C93working papers series
Date posted: December 15, 2006
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