Treatment Effect Accounting for Network Changes
提出一种衡量干预措施改变社交网络结构时的处理效应的方法，通过动态同伴效应模型和工具变量识别，发现忽略网络变化会低估干预效果。
Abstract Networks may rewire in response to interventions. We propose a measure of the treatment effect when an intervention affects the structure of a social network. We develop a treatment-response model that incorporates dynamic peer effects and provide its identification conditions and the associated instrumental-variable strategy. We illustrate our estimation procedure using a panel data set containing information on a financial network before and after a field experiment that randomized access to savings accounts. Results show that neglecting the network change results in underestimation of the impact of the intervention and the role played by informal networks through which the intervention diffuses.