Regression modelEconometrics / time series

Model nelinearnog autoregresivnog distribuiranog zaostatka (NARDL)

Model nelinearnog ARDL-a (NARDL) proširuje okvir za testiranje granica linearnog ARDL-a kako bi omogućio asimetrične dugoročne i kratkoročne odnose. Dekomponovanjem eksplanatorne varijable na njene pozitivne i negativne parcijalne sume, testira se da li povećanja i smanjenja regresora imaju različite efekte na zavisnu varijablu — što je karakteristika koju linearne metode kointegracije ne mogu da obuhvate.

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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. 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

Kako citirati ovu stranicu

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

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