Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Régression par discontinuité floue pour l'évaluation des politiques× | Différence-en-différences (Diff-in-Diff)× | |
|---|---|---|
| Domaine≠ | Inférence causale | Économétrie |
| Famille | Regression model | Regression model |
| Année d'origine≠ | 2001 | 1994 |
| Auteur d'origine≠ | Hahn, Todd & Van der Klaauw | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Type≠ | Quasi-experimental / local IV estimator | Causal inference / panel regression |
| Source fondatrice≠ | Hahn, J., Todd, P., & Van der Klaauw, W. (2001). Identification and estimation of treatment effects with a regression-discontinuity design. Review of Economic Studies, 68(1), 201-209. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Alias≠ | Fuzzy RDD, Fuzzy RD, Fuzzy Regression Discontinuity, Imperfect Compliance RDD | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Apparentées | 5 | 5 |
| Résumé≠ | Fuzzy Regression Discontinuity Design (Fuzzy RDD) estimates the causal effect of a policy when eligibility is determined by crossing a threshold on a continuous score, but actual take-up or compliance is imperfect. Developed formally by Hahn, Todd, and Van der Klaauw (2001), it uses the threshold as an instrumental variable to recover a Local Average Treatment Effect (LATE) among compliers near the cutoff. | 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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