Treatment and Spillover Effects Under Network Interference

• 成果类型: Article
• 署名作者: Leung, Michael P.
• 署名单位: University of Southern California
• 刊物名称: REVIEW OF ECONOMICS AND STATISTICS
• ISSN/ISSBN: 0034-6535
• DOI: 10.1162/rest_a_00818
• 发表日期: 2020-05
• 页码: 368-380
• 关键词: social interactions; Causal Inference; treatment response; identification; HEALTH; population; incentives; contagion; MODEL

摘要

We study nonparametric and regression estimators of treatment and spillover effects when interference is mediated by a network. Inference is nonstandard due to dependence induced by treatment spillovers and network-correlated effects. We derive restrictions on the network degree distribution under which the estimators are consistent and asymptotically normal and show they can be verified under a strategic model of network formation. We also construct consistent variance estimators robust to heteroskedasticity and network dependence. Our results allow for the estimation of spillover effects using data from only a single, possibly sampled, network.