مقایسهٔ روشها
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| تفاوت-در-تفاوت در پژوهشهای آموزشی× | روش متغیرهای ابزاری (IV) برای استنتاج علی× | |
|---|---|---|
| حوزه≠ | استنتاج علّی | اقتصاد سلامت |
| خانواده≠ | Regression model | Process / pipeline |
| سال پیدایش≠ | 1990s–2000s | 1990s (modern applications) |
| پدیدآور≠ | Dynarski, Card, Angrist, and colleagues — applied in education economics from the 1990s onward | Angrist & Pischke (applied econometrics); rooted in econometric theory |
| نوع≠ | Quasi-experimental causal inference | Method |
| منبع بنیادین≠ | Dynarski, S. M. (2003). Does Aid Matter? Measuring the Effect of Student Aid on College Attendance and Completion. American Economic Review, 93(1), 279-288. DOI ↗ | Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press. link ↗ |
| نامهای دیگر | DiD in education, education DiD, quasi-experimental education design, education policy DiD | IV, two-stage least squares, TSLS, causal estimation |
| مرتبط≠ | 5 | 3 |
| خلاصه≠ | Difference-in-Differences (DiD) in education research applies the classic quasi-experimental DiD estimator to evaluate education policies, programs, and reforms. Researchers compare changes in student, school, or district outcomes between a group exposed to an intervention and a comparable unexposed group across pre- and post-intervention periods, isolating policy effects from background trends. | 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. |
| ScholarGateمجموعهداده ↗ |
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