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Fourier-Engle-Granger-Kointegrationstest×Fourier VECM (Fourier Vektor-Fehlerkorrekturmodell)×
FachgebietÖkonometrieÖkonometrie
FamilieRegression modelRegression model
Entstehungsjahr20162004–2012
UrheberEnders & Jones (2016), extending Engle & Granger (1987)Enders & Lee (2004/2012); extended to VECM by subsequent authors
TypCointegration testError-correction model with Fourier terms
Wegweisende QuelleEnders, W., & Jones, P. (2016). Grain prices, oil prices, and multiple smooth breaks in a VAR. Studies in Nonlinear Dynamics and Econometrics, 20(4), 399–419. DOI ↗Enders, 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 ↗
AliasnamenFourier EG cointegration, Enders-Jones cointegration test, smooth structural break cointegration, FEGC testFourier VECM, Fourier-approximation VECM, smooth-break VECM, trigonometric VECM
Verwandt55
ZusammenfassungThe Fourier Engle-Granger cointegration test extends the classic two-step Engle-Granger procedure by embedding low-frequency trigonometric (Fourier) terms in the cointegrating regression. This accommodates an unknown number of smooth structural breaks in the deterministic components without specifying their dates, producing a more powerful test when long-run relationships shift gradually over time.The Fourier VECM augments the classical vector error correction model with low-frequency trigonometric terms — sine and cosine components — to capture smooth, gradual structural change in cointegrating relationships without specifying the number or timing of breaks in advance. It is used for multivariate cointegrated systems where long-run equilibria may shift gradually over time.
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ScholarGateMethoden vergleichen: Fourier Engle-Granger cointegration · Fourier VECM. Abgerufen am 2026-06-19 von https://scholargate.app/de/compare