So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Difference-in-Differences (DiD) kiểu Bayes× | 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≠ | 2015-2023 | 2014 |
| Người khởi xướng≠ | Li & Marchand (formal Bayesian DiD framework); Brodersen et al. (Bayesian causal inference in time series) | Hsiao (textbook treatment); within transformation of panel data |
| Loại≠ | Bayesian causal inference / panel regression | Panel data regression |
| Công trình gốc≠ | Li, F., & Marchand, J. (2023). Bayesian inference for difference-in-differences. Econometrics Journal, 26(3), 509-529. link ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Tên gọi khác | Bayesian DiD, Bayes DiD, Bayesian diff-in-diff, Bayesian panel causal estimator | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Liên quan | 5 | 5 |
| Tóm tắt≠ | Bayesian Difference-in-Differences applies Bayesian statistical inference to the classic DiD design, replacing frequentist point estimates with full posterior distributions over the treatment effect. This yields not only an estimate of the causal effect but also a coherent probability statement about its magnitude and uncertainty, making it especially useful when sample sizes are modest or informative prior knowledge is available. | 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 ↗ |
|
|