溢出效应
反事实思维
差异中的差异
计量经济学
治疗效果
估计
平均处理效果
鉴定(生物学)
治疗组和对照组
参数统计
心理干预
随机试验
统计
经济
心理学
数学
倾向得分匹配
医学
社会心理学
微观经济学
管理
精神科
传统医学
植物
生物
出处
期刊:Cornell University - arXiv
日期:2021-01-01
被引量:15
标识
DOI:10.48550/arxiv.2105.03737
摘要
Empirical work often uses treatment assigned following geographic boundaries. When the effects of treatment cross over borders, classical difference-in-differences estimation produces biased estimates for the average treatment effect. In this paper, I introduce a potential outcomes framework to model spillover effects and decompose the estimate's bias in two parts: (1) the control group no longer identifies the counterfactual trend because their outcomes are affected by treatment and (2) changes in treated units' outcomes reflect the effect of their own treatment status and the effect from the treatment status of 'close' units. I propose conditions for non-parametric identification that can remove both sources of bias and semi-parametrically estimate the spillover effects themselves including in settings with staggered treatment timing. To highlight the importance of spillover effects, I revisit analyses of three place-based interventions.
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