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| Thiết kế nghiên cứu sự kiện (Nghiên cứu sự kiện nhân quả)× | 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≠ | 2021 | 2014 |
| Người khởi xướng≠ | Sun & Abraham (2021); Callaway & Sant'Anna (2021) | Hsiao (textbook treatment); within transformation of panel data |
| Loại≠ | Dynamic causal panel regression | Panel data regression |
| Công trình gốc≠ | Sun, L. & Abraham, S. (2021). Estimating Dynamic Treatment Effects in Event Studies with Heterogeneous Treatment Effects. Journal of Econometrics, 225(2), 175–199. DOI ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Tên gọi khác≠ | dynamic difference-in-differences, event-study DiD, dynamic treatment effects, leads-and-lags model | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Liên quan | 5 | 5 |
| Tóm tắt≠ | The event study design is a generalised difference-in-differences model that estimates a separate treatment-effect coefficient for each period before and after an intervention, tracing the dynamics of the effect over event time. Its modern, heterogeneity-robust form was developed by Sun & Abraham (2021) and Callaway & Sant'Anna (2021). | 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). |
| ScholarGateBộ dữ liệu ↗ |
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