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| Differencia-in-Discontinuities Design (Differencia-in-Discontinuities Terv)× | A különbség-különbségek (Diff-in-Diff) módszer× | |
|---|---|---|
| Tudományterület≠ | Oksági következtetés | Ökonometria |
| Módszercsalád | Regression model | Regression model |
| Keletkezés éve≠ | 2016 | 1994 |
| Megalkotó≠ | Grembi, Nannicini & Troiano | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Típus≠ | Hybrid quasi-experimental causal design (RDD + DID) | Causal inference / panel regression |
| Alapmű≠ | 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 University Press. ISBN: 978-0691120355 |
| Alternatív nevek | diff-in-disc, DiD-RDD, Süreksizliklerde Fark (Difference-in-Discontinuities) | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Kapcsolódó | 5 | 5 |
| Összefoglaló≠ | 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. | 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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