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.
Detalhes
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Autor
Baird, Sarah Bohren, J. Aislinn McIntosh, Craig Ozler, Berk
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Data do documento
2014/03/01
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TIpo de documento
Documento de trabalho sobre pesquisa de políticas
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No. do relatório
WPS6824
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Nº do volume
1
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Total Volume(s)
1
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País
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Região
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Data de divulgação
2014/03/01
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Disclosure Status
Disclosed
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Nome do documento
Designing experiments to measure spillover effects
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Palavras-chave
Poverty & Inequality;total number of individual;variation in treatment;cash transfer program;rate of change;design of experiments;gender action;development research group;average treatment effect;dependence on men;conditional cash transfer;degree of variation;
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