Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Multi-period Regression Discontinuity Design× | Difference-in-Differences (DiD)× | |
|---|---|---|
| Vakgebied≠ | Causale inferentie | Econometrie |
| Familie | Regression model | Regression model |
| Jaar van ontstaan≠ | 2010s–2020s | 1994 |
| Grondlegger≠ | Cattaneo, Idrobo & Titiunik (foundations); extended by multiple authors for repeated-period settings | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Type≠ | Quasi-experimental causal inference | Causal inference / panel regression |
| Oorspronkelijke bron≠ | Cattaneo, M. D., Idrobo, N., & Titiunik, R. (2020). A Practical Introduction to Regression Discontinuity Designs: Foundations. Cambridge University Press. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Aliassen≠ | multi-wave RD, repeated RDD, dynamic RD, multi-cutoff RDD | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Verwant≠ | 3 | 5 |
| Samenvatting≠ | Multi-period Regression Discontinuity Design extends the classic RDD to settings where a cutoff-based treatment is applied in multiple waves, across repeated time periods, or with varying thresholds. By pooling or comparing period-specific discontinuity estimates, researchers gain statistical precision and can examine how causal effects evolve or persist over time. | 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. |
| ScholarGateGegevensset ↗ |
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