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Nonlinear ARDL (NARDL) grænsetest

Den ikke-lineære ARDL-grænsetest, udviklet af Shin, Yu og Greenwood-Nimmo (2014), udvider det lineære ARDL-rammeværk til at detektere asymmetriske langsigtede relationer i tidsserier. Ved at dekomponere en regressor i positive og negative delsummer tester NARDL samtidigt for kointegration og estimerer separate langsigtede effekter for stigninger og fald — uden at kræve, at alle variabler er integreret af samme orden.

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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 W. C. Horrace & R. C. Sickles (Eds.), Festschrift in Honor of Peter Schmidt (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

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ScholarGate. (2026, June 3). Nonlinear Autoregressive Distributed Lag Bounds Test. ScholarGate. https://scholargate.app/da/econometrics/nonlinear-ardl-bounds-test

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ScholarGateNonlinear ARDL bounds test (Nonlinear Autoregressive Distributed Lag Bounds Test). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/nonlinear-ardl-bounds-test · Datasæt: https://doi.org/10.5281/zenodo.20539026