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Robusta ARDL robežu pārbaude (Fourier)×Furjē Engla-Grāndžera kointegrācijas tests×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads2001-20212016
AutorsPesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authorsEnders & Jones (2016), extending Engle & Granger (1987)
TipsCointegration / bounds testCointegration test
PirmavotsNazlioglu, 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 ↗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 ↗
Citi nosaukumiFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration testFourier EG cointegration, Enders-Jones cointegration test, smooth structural break cointegration, FEGC test
Saistītās55
KopsavilkumsThe 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.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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ScholarGateSalīdzināt metodes: Fourier ARDL Bounds Test · Fourier Engle-Granger cointegration. Izgūts 2026-06-19 no https://scholargate.app/lv/compare