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Модель Фурье-ВАР×Векторная модель коррекции ошибок Фурье (Fourier VECM)×
ОбластьЭконометрикаЭконометрика
СемействоRegression modelRegression model
Год появления2010s2004–2012
Автор методаEnders & Lee; extended by Nazlioglu and others to VAR systemsEnders & Lee (2004/2012); extended to VECM by subsequent authors
ТипMultivariate time-series modelError-correction model with Fourier terms
Основополагающий источникEnders, 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 ↗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 ↗
Другие названияFourier VAR, smooth structural break VAR, trigonometric VAR, Fourier-augmented VARFourier VECM, Fourier-approximation VECM, smooth-break VECM, trigonometric VECM
Связанные65
СводкаThe Fourier VAR model extends the standard Vector Autoregression by replacing fixed deterministic terms with Fourier trigonometric components, allowing the intercept (and optionally the trend) to shift gradually and smoothly over time. This eliminates the need to pre-specify the number, timing, or shape of structural breaks in a multivariate time-series system.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.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Fourier VAR model · Fourier VECM. Получено 2026-06-18 из https://scholargate.app/ru/compare