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Modèle à effets fixes de Fourier×Modèle à effets fixes avec paramètres variant dans le temps×
DomaineÉconométrieÉconométrie
FamilleRegression modelRegression model
Année d'origine2006–20121975-1995
Auteur d'origineEnders & Lee (building on Becker, Enders & Lee framework)Hsiao (1975); Pesaran & Smith (1995)
TypePanel regression with Fourier termsPanel regression with time-varying slopes
Source fondatriceEnders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. ISBN: 9781107038875
AliasFourier FE model, Fourier panel fixed effects, trigonometric fixed effects regression, smooth structural break fixed effectsTVP-FE model, time-varying coefficients fixed effects, TVP panel model, locally time-varying fixed effects
Apparentées62
RésuméThe Fourier fixed effects model extends standard panel fixed effects regression by augmenting the specification with low-frequency Fourier (trigonometric) terms. These sine and cosine components approximate unknown, smooth structural shifts in the time trend without requiring the researcher to pre-specify break dates, combining within-unit identification with flexible trend modelling.The time-varying parameter fixed effects (TVP-FE) model extends the classical two-way fixed effects panel regression by allowing one or more slope coefficients to change over time while still controlling for unobserved individual heterogeneity. It is used when the effect of a predictor on an outcome is not constant across the time dimension of a panel dataset.
ScholarGateJeu de données
  1. v1
  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 2 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Fourier Fixed Effects Model · Time-varying parameter fixed effects model. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare