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Fourier OLS (Fourier-Augmentert Minste Kvadraters Metode)×OLS med tidsvarierende parametere (TVP-OLS)×
FagfeltØkonometriØkonometri
FamilieRegression modelRegression model
Opprinnelsesår20041976
OpphavspersonBecker, Enders, and HurnCooley & Prescott (1976); further developed by Harvey (1990)
TypeAugmented linear regressionTime-series regression with evolving coefficients
Opprinnelig kildeBecker, R., Enders, W., & Hurn, S. (2004). A general test for time dependence in parameters. Journal of Applied Econometrics, 19(7), 899–906. DOI ↗Cooley, T. F., & Prescott, E. C. (1976). Estimation in the Presence of Stochastic Parameter Variation. Econometrica, 44(1), 167–184. DOI ↗
AliasFourier OLS, Fourier-augmented OLS, trigonometric OLS, smooth structural break OLSTVP-OLS, time-varying coefficient regression, rolling OLS, locally weighted OLS
Relaterte64
SammendragFourier 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.Time-Varying Parameter OLS extends classical ordinary least squares to allow regression coefficients to change over time. Instead of assuming fixed slopes throughout the sample, the model treats each coefficient as a stochastic process, tracking how economic relationships evolve — making it well-suited for analysing structural change in time-series data.
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ScholarGateSammenlign metoder: Fourier OLS · Time-varying parameter OLS. Hentet 2026-06-18 fra https://scholargate.app/no/compare