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Fourier mittelineaarne ARDL (Fourier NARDL)×Fourier Granger'i põhjuslikkuse test×
ValdkondÖkonomeetriaÖkonomeetria
PerekondRegression modelRegression model
Tekkeaasta2014–2020s2016
LoojaExtension of Shin, Yu & Greenwood-Nimmo (2014) NARDL, incorporating Fourier terms from Becker, Enders & Lee (2006)Enders and Jones
TüüpNonlinear cointegrating model with smooth break approximationCausality test
AlgallikasShin, 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 ↗Enders, W., & Jones, P. (2016). Grain prices, oil prices, and multiple smooth breaks in a VAR. Studies in Nonlinear Dynamics and Econometrics, 20(4), 399–419. DOI ↗
RööpnimetusedFourier NARDL, Fourier nonlinear ARDL, F-NARDL, Fourier asymmetric ARDLFourier Granger causality test, Enders-Jones Granger causality, smooth structural break Granger test, spectral Granger causality
Seotud66
KokkuvõteFourier 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 Granger causality test extends the classic Granger causality framework by embedding low-frequency Fourier terms in the VAR equation, allowing the causal relationship to shift gradually over time without requiring the researcher to pre-specify the number or location of structural breaks.
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ScholarGateVõrdle meetodeid: Fourier NARDL · Fourier Granger Causality. Loetud 2026-06-18 aadressilt https://scholargate.app/et/compare