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Furjē fiksēto efektu modelis×Robusta ARDL robežu pārbaude (Fourier)×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads2006–20122001-2021
AutorsEnders & Lee (building on Becker, Enders & Lee framework)Pesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authors
TipsPanel regression with Fourier termsCointegration / bounds test
PirmavotsEnders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. 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 ↗
Citi nosaukumiFourier FE model, Fourier panel fixed effects, trigonometric fixed effects regression, smooth structural break fixed effectsFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration test
Saistītās65
KopsavilkumsThe Fourier fixed effects model extends standard panel fixed effects regression by augmenting the specification with low-frequency Fourier (trigonometric) terms. These sine and cosine components approximate unknown, smooth structural shifts in the time trend without requiring the researcher to pre-specify break dates, combining within-unit identification with flexible trend modelling.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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ScholarGateSalīdzināt metodes: Fourier Fixed Effects Model · Fourier ARDL Bounds Test. Izgūts 2026-06-19 no https://scholargate.app/lv/compare