Designing Experiments to Measure Spillover Effects

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 int...

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Main Authors:	Baird, Sarah, Bohren, Aislinn, McIntosh, Craig, Özler, Berk
Format:	Policy Research Working Paper
Language:	English en_US
Published:	World Bank, Washington, DC 2014
Subjects:	ACCOUNTING AGED BASIC BENEFICIAL EFFECTS COMMUNITIES COMPONENTS CONFIGURATIONS CORRELATIONS DEVELOPMENT RESEARCH DISPLACEMENT ECONOMICS ESTIMATORS EXPERIMENTAL DESIGN EXPERIMENTAL DESIGNS EXTERNALITIES FEMALES GENERAL EQUILIBRIUM HYPOTHESIS TESTING INCOME INDEXING INTERVIEWS LABOR MARKET LABOR MARKET POLICIES LABOUR MALARIA MALARIA PREVENTION MATHEMATICS MEDICAL EXPERIMENTS MEDICINE NETWORKS NEW TECHNOLOGY OPTIMAL ALLOCATION PREGNANCY RESEARCH DESIGN RESEARCH WORKING PAPERS RESEARCHERS RETIREMENT SAN SCIENCES SEX SIMULATIONS TECHNIQUES TREATMENT UNEMPLOYED UNEMPLOYMENT VALIDITY WEIGHTING
Online Access:	http://documents.worldbank.org/curated/en/2014/03/19322064/designing-experiments-measure-spillover-effects http://hdl.handle.net/10986/17738

id	okr-10986-17738
recordtype	oai_dc
spelling	okr-10986-177382021-04-23T14:03:40Z Designing Experiments to Measure Spillover Effects Baird, Sarah Bohren, Aislinn McIntosh, Craig Özler, Berk ACCOUNTING AGED BASIC BENEFICIAL EFFECTS COMMUNITIES COMPONENTS CONFIGURATIONS CORRELATIONS DEVELOPMENT RESEARCH DISPLACEMENT ECONOMICS ESTIMATORS EXPERIMENTAL DESIGN EXPERIMENTAL DESIGNS EXTERNALITIES FEMALES GENERAL EQUILIBRIUM HYPOTHESIS TESTING INCOME INDEXING INTERVIEWS LABOR MARKET LABOR MARKET POLICIES LABOUR MALARIA MALARIA PREVENTION MATHEMATICS MEDICAL EXPERIMENTS MEDICINE NETWORKS NEW TECHNOLOGY OPTIMAL ALLOCATION PREGNANCY RESEARCH DESIGN RESEARCH WORKING PAPERS RESEARCHERS RETIREMENT SAN SCIENCES SEX SIMULATIONS TECHNIQUES TREATMENT UNEMPLOYED UNEMPLOYMENT VALIDITY WEIGHTING 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. 2014-04-10T20:36:47Z 2014-04-10T20:36:47Z 2014-03 http://documents.worldbank.org/curated/en/2014/03/19322064/designing-experiments-measure-spillover-effects http://hdl.handle.net/10986/17738 English en_US Policy Research Working Paper;No. 6824 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research Africa Malawi
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English en_US
topic	ACCOUNTING AGED BASIC BENEFICIAL EFFECTS COMMUNITIES COMPONENTS CONFIGURATIONS CORRELATIONS DEVELOPMENT RESEARCH DISPLACEMENT ECONOMICS ESTIMATORS EXPERIMENTAL DESIGN EXPERIMENTAL DESIGNS EXTERNALITIES FEMALES GENERAL EQUILIBRIUM HYPOTHESIS TESTING INCOME INDEXING INTERVIEWS LABOR MARKET LABOR MARKET POLICIES LABOUR MALARIA MALARIA PREVENTION MATHEMATICS MEDICAL EXPERIMENTS MEDICINE NETWORKS NEW TECHNOLOGY OPTIMAL ALLOCATION PREGNANCY RESEARCH DESIGN RESEARCH WORKING PAPERS RESEARCHERS RETIREMENT SAN SCIENCES SEX SIMULATIONS TECHNIQUES TREATMENT UNEMPLOYED UNEMPLOYMENT VALIDITY WEIGHTING
spellingShingle	ACCOUNTING AGED BASIC BENEFICIAL EFFECTS COMMUNITIES COMPONENTS CONFIGURATIONS CORRELATIONS DEVELOPMENT RESEARCH DISPLACEMENT ECONOMICS ESTIMATORS EXPERIMENTAL DESIGN EXPERIMENTAL DESIGNS EXTERNALITIES FEMALES GENERAL EQUILIBRIUM HYPOTHESIS TESTING INCOME INDEXING INTERVIEWS LABOR MARKET LABOR MARKET POLICIES LABOUR MALARIA MALARIA PREVENTION MATHEMATICS MEDICAL EXPERIMENTS MEDICINE NETWORKS NEW TECHNOLOGY OPTIMAL ALLOCATION PREGNANCY RESEARCH DESIGN RESEARCH WORKING PAPERS RESEARCHERS RETIREMENT SAN SCIENCES SEX SIMULATIONS TECHNIQUES TREATMENT UNEMPLOYED UNEMPLOYMENT VALIDITY WEIGHTING Baird, Sarah Bohren, Aislinn McIntosh, Craig Özler, Berk Designing Experiments to Measure Spillover Effects
geographic_facet	Africa Malawi
relation	Policy Research Working Paper;No. 6824
description	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.
format	Publications & Research :: Policy Research Working Paper
author	Baird, Sarah Bohren, Aislinn McIntosh, Craig Özler, Berk
author_facet	Baird, Sarah Bohren, Aislinn McIntosh, Craig Özler, Berk
author_sort	Baird, Sarah
title	Designing Experiments to Measure Spillover Effects
title_short	Designing Experiments to Measure Spillover Effects
title_full	Designing Experiments to Measure Spillover Effects
title_fullStr	Designing Experiments to Measure Spillover Effects
title_full_unstemmed	Designing Experiments to Measure Spillover Effects
title_sort	designing experiments to measure spillover effects
publisher	World Bank, Washington, DC
publishDate	2014
url	http://documents.worldbank.org/curated/en/2014/03/19322064/designing-experiments-measure-spillover-effects http://hdl.handle.net/10986/17738
_version_	1764438233614123008

Designing Experiments to Measure Spillover Effects

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