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Fourier OLS×Mínimos Quadrados Ordinários com Parâmetros Variantes no Tempo (TVP-OLS)×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem20041976
Autor originalBecker, Enders, and HurnCooley & Prescott (1976); further developed by Harvey (1990)
TipoAugmented linear regressionTime-series regression with evolving coefficients
Fonte seminalBecker, 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 ↗
Outros nomesFourier OLS, Fourier-augmented OLS, trigonometric OLS, smooth structural break OLSTVP-OLS, time-varying coefficient regression, rolling OLS, locally weighted OLS
Relacionados64
ResumoFourier 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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ScholarGateComparar métodos: Fourier OLS · Time-varying parameter OLS. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare