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Design par Différence de Discontinuités×Différence-en-différences (Diff-in-Diff)×
DomaineInférence causaleÉconométrie
FamilleRegression modelRegression model
Année d'origine20161994
Auteur d'origineGrembi, Nannicini & TroianoCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TypeHybrid quasi-experimental causal design (RDD + DID)Causal inference / panel regression
Source fondatriceGrembi, 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
Aliasdiff-in-disc, DiD-RDD, Süreksizliklerde Fark (Difference-in-Discontinuities)diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Apparentées55
RésuméDifference-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.
ScholarGateJeu de données
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  1. v1
  2. 2 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Difference-in-Discontinuities · Difference-in-Differences. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare