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来源类型Working Paper
规范类型报告
DOI10.3386/w21313
来源IDWorking Paper 21313
Exact P-values for Network Interference
Susan Athey; Dean Eckles; Guido W. Imbens
发表日期2015-07-06
出版年2015
语种英语
摘要We study the calculation of exact p-values for a large class of non-sharp null hypotheses about treatment effects in a setting with data from experiments involving members of a single connected network. The class includes null hypotheses that limit the effect of one unit's treatment status on another according to the distance between units; for example, the hypothesis might specify that the treatment status of immediate neighbors has no effect, or that units more than two edges away have no effect. We also consider hypotheses concerning the validity of sparsification of a network (for example based on the strength of ties) and hypotheses restricting heterogeneity in peer effects (so that, for example, only the number or fraction treated among neighboring units matters). Our general approach is to define an artificial experiment, such that the null hypothesis that was not sharp for the original experiment is sharp for the artificial experiment, and such that the randomization analysis for the artificial experiment is validated by the design of the original experiment.
主题Econometrics ; Estimation Methods
URLhttps://www.nber.org/papers/w21313
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/578988
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GB/T 7714
Susan Athey,Dean Eckles,Guido W. Imbens. Exact P-values for Network Interference. 2015.
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