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Fourier SVAR (Fourier Structural Vector Autoregression) Modell×Fourier VAR-Modell×
FachgebietÖkonometrieÖkonometrie
FamilieRegression modelRegression model
Entstehungsjahr2010s2010s
UrheberExtension of Sims (1980) SVAR framework with Fourier-series smoothing, developed across multiple authors in 2010sEnders & Lee; extended by Nazlioglu and others to VAR systems
TypStructural time-series modelMultivariate time-series model
Wegweisende QuelleEnders, 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 ↗
AliasnamenFourier SVAR, Fourier structural VAR, Fourier-approximation SVAR, frequency-domain SVARFourier VAR, smooth structural break VAR, trigonometric VAR, Fourier-augmented VAR
Verwandt36
ZusammenfassungThe Fourier SVAR model integrates Fourier series approximations into the structural VAR framework, allowing the model to capture smooth, gradual structural breaks and time-varying dynamics in multivariate time series without requiring a priori knowledge of break dates. It recovers structural shocks and their propagation effects while remaining robust to low-frequency parameter drift.The 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.
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ScholarGateMethoden vergleichen: Fourier SVAR Model · Fourier VAR model. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare