Módszerek összehasonlítása

	Difference-in-Differences az oktatáskutatásban	Instrumentális Változók (IV) Módszer Kauzális Infláció Becslésére
Tudományterület	Oksági következtetés	Egészség-gazdaságtan
Módszercsalád	Regression model	Process / pipeline
Keletkezés éve	1990s–2000s	1990s (modern applications)
Megalkotó	Dynarski, Card, Angrist, and colleagues — applied in education economics from the 1990s onward	Angrist & Pischke (applied econometrics); rooted in econometric theory
Típus	Quasi-experimental causal inference	Method
Alapmű	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.	Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press.
Alternatív nevek	DiD in education, education DiD, quasi-experimental education design, education policy DiD	IV, two-stage least squares, TSLS, causal estimation
Kapcsolódó	5	3
Összefoglaló	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.