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GMM de Fourier Arellano-Bond×Modèle à effets fixes pour données de panel×
DomaineÉconométrieÉconométrie
FamilleRegression modelRegression model
Année d'origine2010s2014
Auteur d'origineExtension of Arellano & Bond (1991) with Fourier flexible form augmentationHsiao (textbook treatment); within transformation of panel data
TypeDynamic panel GMM estimator with smooth structural break accommodationPanel data regression
Source fondatriceArellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277-297. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
AliasFourier AB-GMM, Fourier first-differenced GMM, Fourier dynamic panel GMM, Fourier-extended Arellano-Bond estimatorfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Apparentées25
RésuméFourier Arellano-Bond GMM is a dynamic panel estimator that augments the classic Arellano-Bond first-differenced GMM framework with Fourier trigonometric terms to capture smooth, gradual structural breaks in the time dimension. It handles endogeneity through lagged-level instruments while remaining robust to unknown nonlinear trends that standard difference GMM ignores.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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  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 2 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Fourier Arellano-Bond GMM · Panel Fixed Effects. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare