Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Зважування на основі оцінки схильності в освітніх дослідженнях× | Метод інструментальних змінних (ІЗ) для причинно-наслідкового висновку× | |
|---|---|---|
| Галузь≠ | Причинно-наслідковий висновок | Економіка охорони здоров'я |
| Родина≠ | Regression model | Process / pipeline |
| Рік появи≠ | 1983 (theory); widely adopted in education research from 2000s | 1990s (modern applications) |
| Автор методу≠ | Rosenbaum & Rubin (foundational theory, 1983); Thoemmes & Kim (education-focused review, 2011) | Angrist & Pischke (applied econometrics); rooted in econometric theory |
| Тип≠ | Quasi-experimental causal inference | Method |
| Основоположне джерело≠ | 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 ↗ |
| Інші назви | PSW in education, inverse probability weighting in education, IPW education, propensity weighting education | IV, two-stage least squares, TSLS, causal estimation |
| Пов'язані≠ | 5 | 3 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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