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Fourier Nonlinear ARDL (Fourier NARDL)×Ujian Kointegrasi Fourier Engle-Granger×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal2014–2020s2016
PengasasExtension of Shin, Yu & Greenwood-Nimmo (2014) NARDL, incorporating Fourier terms from Becker, Enders & Lee (2006)Enders & Jones (2016), extending Engle & Granger (1987)
JenisNonlinear cointegrating model with smooth break approximationCointegration test
Sumber perintisShin, 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 ↗
AliasFourier NARDL, Fourier nonlinear ARDL, F-NARDL, Fourier asymmetric ARDLFourier EG cointegration, Enders-Jones cointegration test, smooth structural break cointegration, FEGC test
Berkaitan65
RingkasanFourier 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 Engle-Granger cointegration test extends the classic two-step Engle-Granger procedure by embedding low-frequency trigonometric (Fourier) terms in the cointegrating regression. This accommodates an unknown number of smooth structural breaks in the deterministic components without specifying their dates, producing a more powerful test when long-run relationships shift gradually over time.
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ScholarGateBandingkan kaedah: Fourier NARDL · Fourier Engle-Granger cointegration. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare