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Designing experiments to measure spillover effects
 
Author:Baird, Sarah; Bohren, J. Aislinn; McIntosh, Craig; Ozler, Berk; Collection Title:Policy Research working paper ; no. WPS 6824Paper is funded by the Knowledge for Change Program (KCP)
Country:Malawi; Date Stored:2014/03/31
Document Date:2014/03/01Document Type:Policy Research Working Paper
SubTopics:Scientific Research & Science Parks; Science Education; Disease Control & Prevention; Labor Policies; Technology IndustryLanguage:English
Major Sector:Education; Health and other social servicesRel. Proj ID:MW-Ccts, Schooling, And Hiv/Aids Risk -- -- P109215;
Region:AfricaReport Number:WPS6824
Sub Sectors:Health; General education sectorTF No/Name:TF099295-Girl; TF092029-GENDER
Volume No:1 of 1  

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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