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Using Randomization in Development Economics Research: A Toolkit

Author

Listed:
  • Esther Duflo
  • Rachel Glennerster
  • Michael Kremer
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.

Suggested Citation

  • Esther Duflo & Rachel Glennerster & Michael Kremer, 2006. "Using Randomization in Development Economics Research: A Toolkit," CID Working Papers 138, Center for International Development at Harvard University.
    • Handle: RePEc:cid:wpfacu:138
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Randomized Evaluations; Experiments; Development; Program Evaluation;
    All these keywords.

    JEL classification:

    • I0 - Health, Education, and Welfare - - General
    • J0 - Labor and Demographic Economics - - General
    • O0 - Economic Development, Innovation, Technological Change, and Growth - - General
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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