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Fourier ARDL Bounds Test×Strukturelt brud ARDL-grænsetest×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår2001-20212001–2010s
OphavspersonPesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authorsPesaran, Shin & Smith (bounds framework); structural break extensions by Bahmani-Oskooee, Enders & Jones, and others
TypeCointegration / bounds testCointegration / bounds test
Oprindelig kildeNazlioglu, 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 ↗Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. DOI ↗
AliasserFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration testSB-ARDL bounds test, ARDL bounds test with structural break, Fourier ARDL bounds test, break-augmented bounds testing
Relaterede56
ResuméThe 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 structural break ARDL bounds test extends the Pesaran, Shin and Smith (2001) bounds testing framework to accommodate one or more structural breaks in the long-run relationship between time-series variables. By incorporating break dummies or smooth Fourier terms into the ARDL error-correction equation, it allows researchers to test for cointegration even when the data have experienced shifts in intercept or slope caused by policy changes, crises, or regime switches.
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ScholarGateSammenlign metoder: Fourier ARDL Bounds Test · Structural Break ARDL Bounds Test. Hentet 2026-06-19 fra https://scholargate.app/da/compare