混因素,溢出效应和互动对社会距离政策影响的影响估计估计
José Ramón Enríquez1, Horacio Larreguy2, Alberto Simpser3
1Graduate School of Business and Institute for Human-Centered Artificial Intelligence, Stanford University, Stanford, 94305, USA. jrenriquez@stanford.edu.
Scientific reports
|October 2, 2025
概括
估计像COVID-19期间使用的社交距离政策的影响是复杂的. 标准方法可能会产生不准确的结果,如果他们忽视政策时机和地理溢出效应,影响公共卫生战略.
科学领域:
- 流行病学 流行病学
- 公共卫生政策 公共卫生政策
- 计量经济学 计量经济学
背景情况:
- 社交距离政策对于传染病控制至关重要,特别是在COVID-19大流行期间.
- 评估这些公共卫生干预措施的真正有效性存在重大方法学挑战.
研究的目的:
- 评估共同政策评估方法对未观察到的混因素,政策同时性和空间溢出效应的敏感性.
- 为了证明这些因素如何影响社会距离干预措施的估计影响.
主要方法:
- 利用了非参数模型与微粒度的移动性,流行病学和政策数据来自墨西哥.
- 分析了同时采用政策和跨地域溢出影响对政策效应估计的影响.
主要成果:
- 广泛使用的方法 (例如,双向固定效应,差异差异) 对计算政策时间和溢出效应非常敏感.
- 如果未能解决混因素,相互作用和溢出效应,可能会显著改变估计的政策影响的规模和方向.
结论:
- 标准的计量经济学方法可能会对社会距离政策的有效性进行误导性的估计.
- 准确的评估需要考虑复杂的相互作用,政策的同时性和空间依赖性,以便有效地设计公共卫生政策.
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