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ARDL de Fourier Não Linear (NARDL de Fourier)×Teste de Causalidade de Granger de Fourier×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem2014–2020s2016
Autor originalExtension of Shin, Yu & Greenwood-Nimmo (2014) NARDL, incorporating Fourier terms from Becker, Enders & Lee (2006)Enders and Jones
TipoNonlinear cointegrating model with smooth break approximationCausality test
Fonte seminalShin, 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 ↗
Outros nomesFourier NARDL, Fourier nonlinear ARDL, F-NARDL, Fourier asymmetric ARDLFourier Granger causality test, Enders-Jones Granger causality, smooth structural break Granger test, spectral Granger causality
Relacionados66
ResumoFourier 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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ScholarGateComparar métodos: Fourier NARDL · Fourier Granger Causality. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare