Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Difference-in-Discontinuities Design× | Difference-in-Differences (DiD)× | |
|---|---|---|
| Vakgebied≠ | Causale inferentie | Econometrie |
| Familie | Regression model | Regression model |
| Jaar van ontstaan≠ | 2016 | 1994 |
| Grondlegger≠ | Grembi, Nannicini & Troiano | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Type≠ | Hybrid quasi-experimental causal design (RDD + DID) | Causal inference / panel regression |
| Oorspronkelijke bron≠ | 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 |
| Aliassen | diff-in-disc, DiD-RDD, Süreksizliklerde Fark (Difference-in-Discontinuities) | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Verwant | 5 | 5 |
| Samenvatting≠ | 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. |
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