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MCO de Fourier (Moindres Carrés Ordinaires augmentés de termes de Fourier)×OLS avec rupture structurelle×
DomaineÉconométrieÉconométrie
FamilleRegression modelRegression model
Année d'origine20041960–1998
Auteur d'origineBecker, Enders, and HurnChow (1960) for the breakpoint test; Bai & Perron (1998) for multiple break estimation
TypeAugmented linear regressionSegmented linear regression
Source fondatriceBecker, R., Enders, W., & Hurn, S. (2004). A general test for time dependence in parameters. Journal of Applied Econometrics, 19(7), 899–906. DOI ↗Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗
AliasFourier OLS, Fourier-augmented OLS, trigonometric OLS, smooth structural break OLSOLS with structural breaks, piecewise OLS, regime-switching OLS, breakpoint regression
Apparentées66
RésuméFourier OLS is an OLS regression extended by adding low-frequency trigonometric (sine and cosine) terms to the regressor matrix. These Fourier components approximate smooth, gradual structural changes in the regression relationship over time without requiring knowledge of the number, timing, or form of the breaks.Structural Break OLS extends ordinary least squares to allow regression coefficients to shift at one or more breakpoints in time or across regimes. Rather than forcing a single coefficient vector across the entire sample, the model partitions the data and estimates a separate OLS regression within each segment, making it appropriate when economic relationships are suspected to change due to policy shifts, crises, or other structural events.
ScholarGateJeu de données
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  1. v1
  2. 2 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Fourier OLS · Structural Break OLS. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare