Regression modelSpatial causal inference
空间双重差分法
空间双重差分法（Spatial DiD）将经典的DiD估计量扩展到观测值具有地理参考且结果可能存在空间自相关或溢出效应的情形。该方法由Delgado和Florax（2015）提出，通过在标准的双向固定效应DiD回归中增加空间滞后项或空间误差项，即使在政策冲击跨越地理单元传播时也能获得无偏的处理效应估计。经济学家、区域科学家和城市规划者在评估基于地点的干预措施（如基础设施投资、环境法规或分区改革）时会使用该方法。
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来源
- Delgado, M. S., & Florax, R. J. G. M. (2015). Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction. Economics Letters, 126, 35–40. DOI: 10.1016/j.econlet.2015.10.035 ↗
如何引用本页
ScholarGate. (2026, June 2). Spatial Difference-in-Differences. ScholarGate. https://scholargate.app/zh/causal-inference/spatial-difference-in-differences
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