方法证据记录
Panel Data Synthetic Control Method
The panel data synthetic control method estimates the causal effect of an intervention on a single treated unit by constructing a data-driven weighted combination of untreated units — a synthetic control — that best reproduces the treated unit's pre-treatment outcome trajectory. The post-treatment gap between the treated unit and its synthetic counterpart is the estimated treatment effect.
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。
Synthetic Control Method for Panel Data
分类方法记录 · regression-model / causal-inference
- 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
- Abadie, A. (2021). Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects. Journal of Economic Literature, 59(2), 391-425. · DOI 10.1257/jel.20191450
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