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Designing experiments to measure spillover effects, Volume 1
Author:Baird, Sarah; Bohren, J. Aislinn; McIntosh, Craig; Ozler, Berk; Country:Malawi;
Date Stored:2014/03/31Document Date:2014/03/01
Document Type:Policy Research Working PaperSubTopics:Scientific Research & Science Parks; Science Education; Disease Control & Prevention; Labor Policies; Technology Industry
Language:EnglishMajor Sector:Education; Health and other social services
Rel. Proj ID:MW-Ccts, Schooling, And Hiv/Aids Risk -- -- P109215;Region:Africa
Report Number:WPS6824Sub Sectors:Health; General education sector
Collection Title:Policy Research working paper ; no. WPS 6824Paper is funded by the Knowledge for Change Program (KCP)TF No/Name:TF099295-Girl; TF092029-GENDER
Volume No: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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