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Designing Experiments to Measure Spillover Effects / Baird, Sarah

World Bank Open Knowledge Repository (formerly "World Bank E-Library Publications") Available online

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Format:
Book
Government document
Author/Creator:
Baird, Sarah
Contributor:
Baird, Sarah
Bohren, J. Aislinn
McIntosh, Craig
Ozler, Berk
Series:
Policy research working papers.
World Bank e-Library.
Language:
English
Subjects (All):
Cash Transfers.
Disease Control & Prevention.
Education.
Experimental Design.
Health, Nutrition and Population.
Industry.
Labor Policies.
Networks.
Science and Technology Development.
Science Education.
Scientific Research & Science Parks.
Social Protections and Labor.
Technology Industry.
Local Subjects:
Cash Transfers.
Disease Control & Prevention.
Education.
Experimental Design.
Health, Nutrition and Population.
Industry.
Labor Policies.
Networks.
Science and Technology Development.
Science Education.
Scientific Research & Science Parks.
Social Protections and Labor.
Technology Industry.
Physical Description:
1 online resource (56 pages)
Place of Publication:
Washington, D.C., The World Bank, 2014
System Details:
data file
Summary:
This paper formalizes the design of experiments intended specifically to study spillover effects. By first randomizing the intensity of treatment within clusters and then randomly assigning individual treatment conditional on this cluster-level intensity, a novel set of treatment effects can be identified. The paper develops a formal framework for consistent estimation of these effects, provides explicit expressions for power calculations, and shows that the power to detect average treatment effects declines precisely with the quantity that identifies the novel treatment effects. A demonstration of the technique is provided using a cash transfer program in Malawi.

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