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Linganisha mbinu

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Muundo wa Fourier Structural Vector Autoregression (Fourier SVAR)×Mfumo wa VAR wa Fourier×
NyanjaEkonometrikiEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili2010s2010s
MwanzilishiExtension of Sims (1980) SVAR framework with Fourier-series smoothing, developed across multiple authors in 2010sEnders & Lee; extended by Nazlioglu and others to VAR systems
AinaStructural time-series modelMultivariate time-series model
Chanzo asiliaEnders, 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 ↗
Majina mbadalaFourier SVAR, Fourier structural VAR, Fourier-approximation SVAR, frequency-domain SVARFourier VAR, smooth structural break VAR, trigonometric VAR, Fourier-augmented VAR
Zinazohusiana36
MuhtasariThe 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.
ScholarGateSeti ya data
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Fourier SVAR Model · Fourier VAR model. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare