Regression modelQuasi-experimental / causal inference
动态合成控制法
动态合成控制法将经典合成控制框架扩展，用于评估在多个时期内展开或强度随时间变化的干预措施。它通过未经处理单元的加权组合来构建一个与处理单元在干预前结果相匹配的合成对照组，然后逐期追踪干预后处理效应的完整时间路径——不仅捕捉平均效应，还揭示效应如何动态演变。
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来源
- Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program. Journal of the American Statistical Association, 105(490), 493-505. DOI: 10.1198/jasa.2009.ap08746 ↗
- Arkhangelsky, D., Athey, S., Hirshberg, D. A., Imbens, G. W., & Wager, S. (2021). Synthetic Difference-in-Differences. American Economic Review, 111(12), 4088-4118. DOI: 10.1257/aer.20190159 ↗
如何引用本页
ScholarGate. (2026, June 3). Dynamic Synthetic Control Method for Multi-Period Treatment Evaluation. ScholarGate. https://scholargate.app/zh/causal-inference/dynamic-synthetic-control-method
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