So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Cân bằng điểm khuynh hướng bằng trọng số cho Đánh giá Chính sách× | Phương pháp Sai phân kép (Difference-in-Differences - DiD)× | |
|---|---|---|
| Lĩnh vực≠ | Suy luận nhân quả | Kinh tế lượng |
| Họ | Regression model | Regression model |
| Năm ra đời≠ | 1983/2003 | 1994 |
| Người khởi xướng≠ | Rosenbaum & Rubin (1983); extended to policy evaluation by Hirano, Imbens & Ridder (2003) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Loại≠ | Quasi-experimental causal inference | Causal inference / panel regression |
| Công trình gốc≠ | Hirano, K., Imbens, G. W., & Ridder, G. (2003). Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score. Econometrica, 71(4), 1161-1189. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Tên gọi khác≠ | PSW policy evaluation, inverse probability weighting for policy, IPW policy evaluation, policy PSW | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Liên quan≠ | 6 | 5 |
| Tóm tắt≠ | Policy evaluation propensity score weighting applies inverse-probability weighting to observational data to estimate the causal effect of a policy program. By reweighting participants and non-participants so they resemble a target population, it removes selection bias from voluntary or administratively allocated program assignment without requiring randomization. | Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes. |
| ScholarGateBộ dữ liệu ↗ |
|
|