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| Phương pháp Kiểm soát Tổng hợp Dữ liệu Bảng× | Mô hình Hiệu ứng Cố định Dữ liệu Bảng× | |
|---|---|---|
| Lĩnh vực≠ | Suy luận nhân quả | Kinh tế lượng |
| Họ | Regression model | Regression model |
| Năm ra đời≠ | 2010 | 2014 |
| Người khởi xướng≠ | Alberto Abadie, Alexis Diamond & Jens Hainmueller | Hsiao (textbook treatment); within transformation of panel data |
| Loại≠ | Causal inference / panel data | Panel data regression |
| Công trình gốc≠ | 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 ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Tên gọi khác | SCM panel, panel synthetic control, synthetic control estimator, comparative case study | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Liên quan | 5 | 5 |
| Tóm tắt≠ | 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. | The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014). |
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