Regression modelEconometrics / time series

Nelinearni model ARDL (NARDL)

Nelinearni model ARDL (NARDL) proširuje okvir za testiranje granica linearnog ARDL-a kako bi omogućio nesimetrične dugoročne i kratkoročne odnose. Dekomponovanjem regresora na kumulativne pozitivne i negativne parcijalne sume, testira se da li povećanja i smanjenja varijable vrše različite efekte na ishod — što je karakteristika posebno relevantna u finansijskim i energetskim ekonomijama gde se pozitivni i negativni šokovi retko 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/sr/econometrics/nonlinear-ardl

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