Replication data for: In Pursuit of Balance: Randomization in Practice in Development Field Experiments
Principal Investigator(s): View help for Principal Investigator(s) Miriam Bruhn; David McKenzie
Version: View help for Version V1
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AEJApp-2008-0182_data | 10/12/2019 12:18:PM | ||
LICENSE.txt | text/plain | 14.6 KB | 10/12/2019 08:18:AM |
Project Citation:
Bruhn, Miriam, and McKenzie, David. Replication data for: In Pursuit of Balance: Randomization in Practice in Development Field Experiments. Nashville, TN: American Economic Association [publisher], 2009. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113574V1
Project Description
Summary:
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We present new evidence on the randomization methods used in existing
experiments, and new simulations comparing these methods.
We
find that many papers do not describe the randomization in detail,
implying that better reporting is needed. Our simulations suggest
that in samples of 300 or more, the different methods perform similarly.
However, for very persistent outcome variables, and in smaller
samples, pair-wise matching and stratification perform best and
appear to dominate the rerandomization methods commonly used in
practice. The simulations also point to specific recommendations for
which variables to balance on, and for which controls to include in
the ex post analysis. (JEL C83, C93, O12)
Scope of Project
JEL Classification:
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C83 Survey Methods; Sampling Methods
C93 Field Experiments
O12 Microeconomic Analyses of Economic Development
C83 Survey Methods; Sampling Methods
C93 Field Experiments
O12 Microeconomic Analyses of Economic Development
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