Policy effect evaluation under counterfactual neighborhood interventions in the presence of spillover
存在溢出时反事实邻域干预下的政策效应评估AI 解读 ↓
← 返回论文列表与筛选
阅读说明
本页整理公开书目信息，不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成，未完成全文核验，可能有误；具体假设、证明与结论请核对原文。摘要保留来源文本，未经模型改写。
DOI 首次登记不等于接收或发表日期。部分更正、评论等条目没有独立摘要；缺少可靠材料时保留待补状态。
本页为预印本版本；arXiv 收录、作者填写的期刊信息以及作者既有发表经历，都不单独证明本篇已接收。作者发表记录按 OpenAlex 身份与完整姓名、本站覆盖期刊 ISSN 及正式卷期核对，只展示已核实例，档案仍可能误合并。
引用量采用 OpenAlex 单条关联记录，不合计多个记录；关联记录可能包含正式发表版本，不等于此版本单独引用。缺失不视为零，引用指标不代表论文质量。
关注作者按书目中的完整姓名匹配，同名和姓名变体需人工辨别。相关论文先按共享细分方向和具体方法排列，再参考通用方法与发表日期。
分类依据与纠错
AI 根据所提供的论文材料归类：摘要以双重差分评估政策因果效应，并明确处理地理邻域溢出与反事实暴露状态。
反馈分类问题
正在核对关联版本…
代码、数据与补充材料
正在核对对应版本的资源…
存在溢出时反事实邻域干预下的政策效应评估
- 研究问题
- 当政策仅在少数地区实施、处理地区周围都是对照地区时，如何评估这些处理地区在未观测邻域政策状态下的反事实效应？
- 方法与思路
- 作者将双重差分扩展到溢出场景，提出反事实处理情景下政策效应的识别条件，并构造双重稳健估计量。
- 材料陈述的贡献
- 摘要称将评估目标扩展至假想邻域暴露状态，通过异质溢出的数值实验考察估计表现，并应用于费城饮料税对销量的影响。
- 阅读关注点
- 应核对邻域暴露映射、双重差分识别条件及未观测情景所需的外推依据，并查看双重稳健性针对哪些模型成立。
- 阅读边界
- 这是 arXiv 预印本，同行评审或期刊接收未核实；摘要未列明完整识别条件或税收效应数值，未观测邻域情景的可识别性需特别核验。
原文摘要
Policy interventions can spill over to units of a population that are not directly exposed to the policy but are geographically close to the units receiving the intervention. In recent work, investigations of spillover effects on neighboring regions have focused on estimating the average treatment effect of a particular policy in an observed setting. Our research question broadens this scope by asking what policy consequences would the treated units have experienced under hypothetical exposure settings. When we only observe treated unit(s) surrounded by controls -- as is common when a policy intervention is implemented in a single city or state -- this effect inquires about the policy effects under a counterfactual neighborhood policy status that we do not, in actuality, observe. In this work, we extend difference-in-differences (DiD) approaches to spillover settings and develop identification conditions required to evaluate policy effects in counterfactual treatment scenarios. These causal quantities are policy-relevant for designing effective policies for populations subject to various neighborhood statuses. We develop doubly robust estimators and use extensive numerical experiments to examine their performance under heterogeneous spillover effects. We apply our proposed method to investigate the effect of the Philadelphia beverage tax on unit sales.