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Nonlineáris ARDL (NARDL) modell×ARDL Határvizsgálat (Pesaran Határvizsgálat)×
TudományterületÖkonometriaÖkonometria
MódszercsaládRegression modelRegression model
Keletkezés éve20142001
MegalkotóShin, Yu & Greenwood-NimmoPesaran, Shin & Smith
TípusNonlinear cointegration modelCointegration test / Autoregressive distributed lag model
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: Econometric Methods and Applications (pp. 281–314). Springer. 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 ↗
Alternatív nevekNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration modelPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)
Kapcsolódó54
ÖsszefoglalóThe 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.The ARDL bounds test is an autoregressive distributed lag method that tests for a cointegrating (long-run level) relationship between time series, introduced by Pesaran, Shin and Smith in 2001. Unlike the Johansen procedure, it remains valid whether the variables are I(0), I(1) or a mix of the two, and it is more reliable than Johansen in small samples of roughly 30 to 80 observations.
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ScholarGateMódszerek összehasonlítása: Nonlinear ARDL · ARDL Bounds Test. Letöltve 2026-06-18, forrás: https://scholargate.app/hu/compare