Designing experiments to measure spillover effects

Sarah Baird, Aislinn Bohren, Craig McIntosh and Berk Özler

No 6824, Policy Research Working Paper Series from The World Bank

Abstract: 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.

Keywords: Disease Control&Prevention; Science Education; Scientific Research&Science Parks; Technology Industry; Labor Policies (search for similar items in EconPapers)
Date: 2014-03-01
New Economics Papers: this item is included in nep-exp, nep-ger and nep-ino
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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Related works:
Working Paper: Designing Experiments to Measure Spillover Effects (2014)
Working Paper: Designing Experiments to Measure Spillover Effects (2014)
Working Paper: Designing Experiments to Measure Spillover Effects (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:wbk:wbrwps:6824

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