方法证据记录
Robust Synthetic Control Method
The robust synthetic control method extends the classic synthetic control estimator by providing statistically valid uncertainty quantification and inference. Developed by Cattaneo, Feng and Titiunik (2021), it addresses a core limitation of the original approach — the lack of formal prediction intervals — making causal conclusions more defensible when only a single treated unit is observed.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Robust Synthetic Control Method with Uncertainty Quantification
分类方法记录 · regression-model / causal-inference
- Cattaneo, M. D., Feng, Y., & Titiunik, R. (2021). Prediction Intervals for Synthetic Control Methods. Journal of the American Statistical Association, 116(536), 1865-1880. · DOI 10.1080/01621459.2021.1979561
- Abadie, A., Diamond, A., & Hainmueller, J. (2015). Comparative Politics and the Synthetic Control Method. American Journal of Political Science, 59(2), 495-510. · DOI 10.1111/ajps.12116
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