Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Регресионен дизайн с прекъсване в образователните изследвания× | Метод на инструменталните променливи (IV) за причинно-следствен анализ× | |
|---|---|---|
| Област≠ | Причинно-следствено заключение | Икономика на здравеопазването |
| Семейство≠ | Regression model | Process / pipeline |
| Година на възникване≠ | 1960 (origination); 1999-2010 (education economics canon) | 1990s (modern applications) |
| Създател≠ | Thistlethwaite & Campbell (1960); popularized in education economics by Angrist & Lavy (1999), Lee & Lemieux (2010) | Angrist & Pischke (applied econometrics); rooted in econometric theory |
| Тип≠ | Quasi-experimental causal inference | Method |
| Основополагащ източник≠ | Lee, D. S., & Lemieux, T. (2010). Regression discontinuity designs in economics. Journal of Economic Literature, 48(2), 281-355. DOI ↗ | Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press. link ↗ |
| Други названия | RDD in education, education RD design, sharp RDD education, score-cutoff design | IV, two-stage least squares, TSLS, causal estimation |
| Свързани≠ | 5 | 3 |
| Резюме≠ | Regression discontinuity design (RDD) in education research exploits a score-based eligibility cutoff — such as a test score threshold, GPA requirement, or age cutoff — to estimate the causal effect of a program, intervention, or policy on student or school outcomes. Units just below and just above the cutoff are treated as near-randomly assigned, enabling credible causal inference without a randomized trial. | 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. |
| ScholarGateНабор от данни ↗ |
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