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| Regressziós diszkontinuitás elemzés az oktatáskutatásban× | A különbség-különbségek (Diff-in-Diff) módszer× | |
|---|---|---|
| Tudományterület≠ | Oksági következtetés | Ökonometria |
| Módszercsalád | Regression model | Regression model |
| Keletkezés éve≠ | 1960 (origination); 1999-2010 (education economics canon) | 1994 |
| Megalkotó≠ | Thistlethwaite & Campbell (1960); popularized in education economics by Angrist & Lavy (1999), Lee & Lemieux (2010) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Típus≠ | Quasi-experimental causal inference | Causal inference / panel regression |
| Alapmű≠ | 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 University Press. ISBN: 978-0691120355 |
| Alternatív nevek≠ | RDD in education, education RD design, sharp RDD education, score-cutoff design | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Kapcsolódó | 5 | 5 |
| Összefoglaló≠ | 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. | Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes. |
| ScholarGateAdatkészlet ↗ |
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