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Fourieův VAR model×Graniční test Fourier ARDL×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku2010s2001-2021
TvůrceEnders & Lee; extended by Nazlioglu and others to VAR systemsPesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authors
TypMultivariate time-series modelCointegration / bounds test
Původní zdrojEnders, 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 ↗Nazlioglu, S., Gormus, A., & Soytas, U. (2021). Oil prices and monetary policy in emerging markets: structural breaks, asymmetries, and Fourier approximations. Energy Economics, 95, 105119. link ↗
Další názvyFourier VAR, smooth structural break VAR, trigonometric VAR, Fourier-augmented VARFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration test
Příbuzné65
ShrnutíThe 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 ARDL bounds test augments the Pesaran-Shin-Smith cointegration framework with trigonometric (Fourier) terms that capture gradual, smooth structural breaks in the data-generating process. It tests for a long-run level relationship between variables without requiring the researcher to specify the number, timing, or form of structural breaks in advance.
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ScholarGatePorovnat metody: Fourier VAR model · Fourier ARDL Bounds Test. Získáno 2026-06-19 z https://scholargate.app/cs/compare