ScholarGate
Asszisztens

Módszerek összehasonlítása

Tekintse át a kiválasztott módszereket egymás mellett; az eltérő sorok kiemelve jelennek meg.

Fourier Nonlinear ARDL (Fourier NARDL)×Fourier ARDL határvizsgálat×
TudományterületÖkonometriaÖkonometria
MódszercsaládRegression modelRegression model
Keletkezés éve2014–2020s2001-2021
MegalkotóExtension of Shin, Yu & Greenwood-Nimmo (2014) NARDL, incorporating Fourier terms from Becker, Enders & Lee (2006)Pesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authors
TípusNonlinear cointegrating model with smooth break approximationCointegration / bounds test
AlapműShin, 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 (pp. 281–314). Springer. link ↗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 ↗
Alternatív nevekFourier NARDL, Fourier nonlinear ARDL, F-NARDL, Fourier asymmetric ARDLFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration test
Kapcsolódó65
ÖsszefoglalóFourier NARDL extends the Nonlinear ARDL (NARDL) bounds-testing framework by adding Fourier trigonometric terms to the error-correction equation, allowing the model to capture smooth, gradual structural breaks in the long-run relationship without requiring the researcher to know or specify the break date in advance.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.
ScholarGateAdatkészlet
  1. v1
  2. 2 Források
  3. PUBLISHED
  1. v1
  2. 2 Források
  3. PUBLISHED

Ugrás a kereséshez Diák letöltése

ScholarGateMódszerek összehasonlítása: Fourier NARDL · Fourier ARDL Bounds Test. Letöltve 2026-06-19, forrás: https://scholargate.app/hu/compare