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Fourier ARDL test granica×Nelinearni model ARDL (NARDL)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka2001-20212014
TvoracPesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authorsShin, Yu & Greenwood-Nimmo
TipCointegration / bounds testNonlinear cointegration model
Temeljni izvorNazlioglu, 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 ↗Shin, 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: Econometric Methods and Applications (pp. 281–314). Springer. link ↗
Drugi naziviFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration testNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
Srodne55
SažetakThe 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 Nonlinear ARDL (NARDL) model extends the linear ARDL bounds-testing framework to allow asymmetric long-run and short-run relationships. By decomposing the regressor into cumulative positive and negative partial sums, it tests whether increases and decreases in a variable exert different effects on the outcome — a feature especially relevant in financial and energy economics where positive and negative shocks rarely cancel out symmetrically.
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ScholarGateUporedite metode: Fourier ARDL Bounds Test · Nonlinear ARDL. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare