My da|ra Login

Detailed view

metadata language: English

Replication data for: Experimentation at Scale

Version
1
Resource Type
Dataset
Creator
  • Muralidharan, Karthik
  • Niehaus, Paul
Publication Date
2017-01-03
Description
  • Abstract

    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.
Availability
Download
Relations
  • Is supplemented by
    DOI: 10.1257/jep.31.4.103 (Text)
Publications
  • Muralidharan, Karthik, and Paul Niehaus. “Experimentation at Scale.” Journal of Economic Perspectives 31, no. 4 (November 2017): 103–24. https://doi.org/10.1257/jep.31.4.103.
    • ID: 10.1257/jep.31.4.103 (DOI)

Update Metadata: 2019-10-13 | Issue Number: 1 | Registration Date: 2019-10-13

Muralidharan, Karthik; Niehaus, Paul (2017): Replication data for: Experimentation at Scale. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. http://doi.org/10.3886/E113998V1