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Linganisha mbinu

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Kipimo cha Uko-wa-Muda cha Fourier Engle-Granger×Kipimo cha Mipaka cha Fourier ARDL×
NyanjaEkonometrikiEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili20162001-2021
MwanzilishiEnders & Jones (2016), extending Engle & Granger (1987)Pesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authors
AinaCointegration testCointegration / bounds test
Chanzo asiliaEnders, 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 ↗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 ↗
Majina mbadalaFourier EG cointegration, Enders-Jones cointegration test, smooth structural break cointegration, FEGC testFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration test
Zinazohusiana55
MuhtasariThe 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.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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  3. PUBLISHED

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ScholarGateLinganisha mbinu: Fourier Engle-Granger cointegration · Fourier ARDL Bounds Test. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare