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Regression modelEconometrics / time series

Nonlineær Autoregressiv Distribueret Lag Model (NARDL)

NARDL-modellen (Nonlinear ARDL) udvider det lineære ARDL-rammeværk for grænsetestning til at tillade asymmetriske langsigtede og kortsigtede relationer. Ved at nedbryde en forklarende variabel i dens positive og negative partielsummer tester den, om stigninger og fald i en regressor har forskellige effekter på den afhængige variabel – en egenskab, som lineære kointegrationsmetoder ikke kan fange.

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Kilder

  1. 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. DOI: 10.1007/978-1-4899-8008-3_9
  2. 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: 10.1002/jae.616

Sådan citerer du denne side

ScholarGate. (2026, June 3). Nonlinear Autoregressive Distributed Lag Model. ScholarGate. https://scholargate.app/da/econometrics/nonlinear-nardl

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ScholarGateNonlinear NARDL (Nonlinear Autoregressive Distributed Lag Model). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/nonlinear-nardl · Datasæt: https://doi.org/10.5281/zenodo.20539026