Regression modelQuasi-experimental / causal inference
空间双重稳健估计
空间双重稳健估计是一种半参数因果推断方法，它结合了倾向得分加权和结果回归模型——从而在任一组件模型错误指定时提供保护——同时明确考虑了单元之间的空间自相关。它将经典的增强型逆概率加权（AIPW）估计量扩展到处理分配和结果在地理上聚集或空间依赖的设置中。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Papadogeorgou, G., Mealli, F., & Zigler, C. M. (2019). Causal inference with interfering units for cluster and population level treatment allocation programs. Biometrics, 75(3), 778-787. DOI: 10.1111/biom.13049 ↗
- Kennedy, E. H. (2016). Semiparametric theory and empirical processes in causal inference. In H. He, P. Wu, & D.-G. Chen (Eds.), Statistical Causal Inferences and Their Applications in Public Health Research (pp. 141-167). Springer. link ↗
如何引用本页
ScholarGate. (2026, June 3). Spatial Doubly Robust Causal Estimation. ScholarGate. https://scholargate.app/zh/causal-inference/spatial-doubly-robust-estimation
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 双重差分法 (Diff-in-Diff)计量经济学↔ compare
- 双重稳健估计（AIPW）因果推断↔ compare
- 地理加权回归 (GWR)空间分析↔ compare
- 逆概率治疗加权法 (IPW / IPTW)因果推断↔ compare
- 倾向得分匹配研究统计学↔ compare