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Modelo VAR de Fourier×Teste de Limites ARDL de Fourier×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem2010s2001-2021
Autor originalEnders & Lee; extended by Nazlioglu and others to VAR systemsPesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authors
TipoMultivariate time-series modelCointegration / bounds test
Fonte 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 ↗
Outros nomesFourier VAR, smooth structural break VAR, trigonometric VAR, Fourier-augmented VARFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration test
Relacionados65
ResumoThe 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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ScholarGateComparar métodos: Fourier VAR model · Fourier ARDL Bounds Test. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare