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Experimentation at scale

Author: Karthik Muralidharan; Paul Niehaus; National Bureau of Economic Research,
Publisher: Cambridge, Mass. : National Bureau of Economic Research, 2017.
Series: Working paper series (National Bureau of Economic Research), no. 23957.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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 them. We find that program evaluation randomized  Read more...
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Karthik Muralidharan; Paul Niehaus; National Bureau of Economic Research,
OCLC Number: 1007342934
Notes: "October 2017"
Description: 1 online resource (40 pages) : illustrations.
Series Title: Working paper series (National Bureau of Economic Research), no. 23957.
Responsibility: Karthik Muralidharan, Paul Niehaus.

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 them. We find that program evaluation randomized controlled trials published in top journals 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.

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