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Fourier OLS (Fourier-Augmented Ordinary Least Squares)×Tidsvarierande Parameter OLS (TVP-OLS)×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår20041976
UpphovspersonBecker, Enders, and HurnCooley & Prescott (1976); further developed by Harvey (1990)
TypAugmented linear regressionTime-series regression with evolving coefficients
UrsprungskällaBecker, 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
Närliggande64
SammanfattningFourier 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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ScholarGateJämför metoder: Fourier OLS · Time-varying parameter OLS. Hämtad 2026-06-19 från https://scholargate.app/sv/compare