Replication data for: Experimentation at Scale
Principal Investigator(s): View help for Principal Investigator(s) Karthik Muralidharan; Paul Niehaus
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
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| JEP_code | 10/12/2019 06:36:PM | ||
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text/plain | 14.6 KB | 10/12/2019 02:36:PM |
Project Citation:
Muralidharan, Karthik, and Niehaus, Paul. Replication data for: Experimentation at Scale. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113998V1
Project Description
Summary:
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This paper makes the case for greater use of randomized experiments "at scale." We review various critiques of experimental program evaluation in developing countries, and discuss how experimenting at scale along three specific dimensions—the size of the sampling frame, the number of units treated, and the size of the unit of randomization—can help alleviate the concerns raised. We find that program-evaluation randomized controlled trials published over the last 15 years have typically been "small" in these senses, but also identify a number of examples—including from our own work—demonstrating that experimentation at much larger scales is both feasible and valuable.
Scope of Project
JEL Classification:
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C90 Design of Experiments: General
D78 Positive Analysis of Policy Formulation and Implementation
O10 Economic Development: General
C90 Design of Experiments: General
D78 Positive Analysis of Policy Formulation and Implementation
O10 Economic Development: General
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