Regression modelQuasi-experimental / causal inference
空间因果影响分析
空间因果影响分析旨在估计空间定向干预——施加于特定地点的政策、冲击或处理——的因果效应，同时明确考虑受处理和未受处理单元之间的地理溢出效应。通过结合准实验设计（如双重差分法或回归不连续设计）与空间计量经济学模型，它可以将处理的直接局部效应与扩散到邻近区域的间接效应区分开来。
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Method map
The neighbourhood of related methods — select a node to explore.
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, 137, 123-126. DOI: 10.1016/j.econlet.2015.10.035 ↗
- Halleck Vega, S., & Elhorst, J. P. (2015). The SLX Model. Journal of Regional Science, 55(3), 339-363. DOI: 10.1111/jors.12188 ↗
如何引用本页
ScholarGate. (2026, June 3). Spatial Causal Impact Analysis. ScholarGate. https://scholargate.app/zh/causal-inference/spatial-causal-impact-analysis
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
- 地理加权回归 (GWR)空间分析↔ compare
- 倾向得分匹配研究统计学↔ compare
- 合成控制法 (SCM)因果推断↔ compare