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Fourier epälineaarinen ARDL (Fourier NARDL)×Fourier ARDL -rajatesti×
TieteenalaEkonometriaEkonometria
MenetelmäperheRegression modelRegression model
Syntyvuosi2014–2020s2001-2021
KehittäjäExtension of Shin, Yu & Greenwood-Nimmo (2014) NARDL, incorporating Fourier terms from Becker, Enders & Lee (2006)Pesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authors
TyyppiNonlinear cointegrating model with smooth break approximationCointegration / bounds test
AlkuperäislähdeShin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt (pp. 281–314). Springer. link ↗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 ↗
RinnakkaisnimetFourier NARDL, Fourier nonlinear ARDL, F-NARDL, Fourier asymmetric ARDLFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration test
Liittyvät65
TiivistelmäFourier NARDL extends the Nonlinear ARDL (NARDL) bounds-testing framework by adding Fourier trigonometric terms to the error-correction equation, allowing the model to capture smooth, gradual structural breaks in the long-run relationship without requiring the researcher to know or specify the break date in advance.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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ScholarGateVertaile menetelmiä: Fourier NARDL · Fourier ARDL Bounds Test. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare