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Différences-en-différences bayésiennes×Modèle à effets fixes pour données de panel×
DomaineInférence causaleÉconométrie
FamilleRegression modelRegression model
Année d'origine2015-20232014
Auteur d'origineLi & Marchand (formal Bayesian DiD framework); Brodersen et al. (Bayesian causal inference in time series)Hsiao (textbook treatment); within transformation of panel data
TypeBayesian causal inference / panel regressionPanel data regression
Source fondatriceLi, F., & Marchand, J. (2023). Bayesian inference for difference-in-differences. Econometrics Journal, 26(3), 509-529. link ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
AliasBayesian DiD, Bayes DiD, Bayesian diff-in-diff, Bayesian panel causal estimatorfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Apparentées55
RésuméBayesian Difference-in-Differences applies Bayesian statistical inference to the classic DiD design, replacing frequentist point estimates with full posterior distributions over the treatment effect. This yields not only an estimate of the causal effect but also a coherent probability statement about its magnitude and uncertainty, making it especially useful when sample sizes are modest or informative prior knowledge is available.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
ScholarGateJeu de données
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  1. v1
  2. 2 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Bayesian Difference-in-Differences · Panel Fixed Effects. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare