Regression modelEconometrics / time series

Nelinearni ARDL (NARDL) model

Nelinearni ARDL (NARDL) model proširuje okvir testiranja granica linearnog ARDL-a kako bi omogućio asimetrične dugoročne i kratkoročne odnose. Dekompozicijom regresora na kumulativne pozitivne i negativne parcijalne sume, testira se jesu li povećanja i smanjenja varijable različito utjecali na ishod — značajka posebno relevantna u financijskoj i energetskoj ekonomiji gdje se pozitivni i negativni šokovi rijetko simetrično poništavaju.

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Izvori

  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. link
  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. link

Kako citirati ovu stranicu

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

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ScholarGateNonlinear ARDL (Nonlinear Autoregressive Distributed Lag Model). Preuzeto 2026-06-15 s https://scholargate.app/hr/econometrics/nonlinear-ardl · Skup podataka: https://doi.org/10.5281/zenodo.20539026