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Model VAR amb Fourier×Test de Límits ARDL de Fourier×
CampEconometriaEconometria
FamíliaRegression modelRegression model
Any d'origen2010s2001-2021
Autor originalEnders & Lee; extended by Nazlioglu and others to VAR systemsPesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authors
TipusMultivariate time-series modelCointegration / bounds test
Font seminalEnders, 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 ↗
ÀliesFourier VAR, smooth structural break VAR, trigonometric VAR, Fourier-augmented VARFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration test
Relacionats65
ResumThe 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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ScholarGateCompara mètodes: Fourier VAR model · Fourier ARDL Bounds Test. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare