So sánh phương pháp
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| Cân bằng điểm xu hướng trong Nghiên cứu Giáo dục× | Phương pháp Biến Công cụ (IV) cho Suy luận Nhân quả× | |
|---|---|---|
| Lĩnh vực≠ | Suy luận nhân quả | Kinh tế học y tế |
| Họ≠ | Regression model | Process / pipeline |
| Năm ra đời≠ | 1983 (theory); widely adopted in education research from 2000s | 1990s (modern applications) |
| Người khởi xướng≠ | Rosenbaum & Rubin (foundational theory, 1983); Thoemmes & Kim (education-focused review, 2011) | Angrist & Pischke (applied econometrics); rooted in econometric theory |
| Loại≠ | Quasi-experimental causal inference | Method |
| Công trình gốc≠ | Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. DOI ↗ | Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press. link ↗ |
| Tên gọi khác | PSW in education, inverse probability weighting in education, IPW education, propensity weighting education | IV, two-stage least squares, TSLS, causal estimation |
| Liên quan≠ | 5 | 3 |
| Tóm tắt≠ | Propensity score weighting (PSW) is a quasi-experimental technique that reweights observational samples so that treated and comparison students look similar on measured background characteristics, allowing credible causal estimates of educational interventions — such as program participation, instructional method, or school type — without random assignment. | Instrumental variables (IV) is an econometric method to estimate causal effects when treatment or exposure is not randomly assigned and confounding is severe or unmeasured. IV relies on a third variable (instrument) that influences treatment but does not directly affect the outcome, allowing researchers to isolate the causal effect from the noise of confounding. Developed extensively in econometrics (Angrist & Pischke, 1990s–2000s), IV methods are increasingly used in health economics and health services research to leverage natural experiments and policy changes. |
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