مقایسهٔ روشها
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| طرح ناپیوستگی تفاضلی× | روش متغیرهای ابزاری (IV) برای استنتاج علی× | |
|---|---|---|
| حوزه≠ | استنتاج علّی | اقتصاد سلامت |
| خانواده≠ | Regression model | Process / pipeline |
| سال پیدایش≠ | 2016 | 1990s (modern applications) |
| پدیدآور≠ | Grembi, Nannicini & Troiano | Angrist & Pischke (applied econometrics); rooted in econometric theory |
| نوع≠ | Hybrid quasi-experimental causal design (RDD + DID) | Method |
| منبع بنیادین≠ | Grembi, V., Nannicini, T. & Troiano, U. (2016). Do Fiscal Rules Matter? A Difference-in-Discontinuities Design. American Economic Journal: Applied Economics, 8(3), 1-30. DOI ↗ | Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press. link ↗ |
| نامهای دیگر≠ | diff-in-disc, DiD-RDD, Süreksizliklerde Fark (Difference-in-Discontinuities) | IV, two-stage least squares, TSLS, causal estimation |
| مرتبط≠ | 5 | 3 |
| خلاصه≠ | Difference-in-Discontinuities is a hybrid quasi-experimental design that fuses regression discontinuity (RDD) with difference-in-differences (DID), introduced by Grembi, Nannicini and Troiano (2016). It compares the discontinuity at the same cutoff value across two periods to isolate a causal effect. | 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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