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Ikke-lineær ARDL (NARDL) grensetest×ARDL grensetest (Pesaran grensetest)×
FagfeltØkonometriØkonometri
FamilieRegression modelRegression model
Opprinnelsesår20142001
OpphavspersonShin, Yu, and Greenwood-NimmoPesaran, Shin & Smith
TypeAsymmetric cointegration testCointegration test / Autoregressive distributed lag model
Opprinnelig kildeShin, 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 ↗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 ↗
AliasNARDL, asymmetric ARDL, nonlinear bounds testing approach, NARDL bounds testingPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)
Relaterte14
SammendragThe Nonlinear ARDL bounds test, developed by Shin, Yu, and Greenwood-Nimmo (2014), extends the linear ARDL framework to detect asymmetric long-run relationships in time series. By decomposing a regressor into positive and negative partial sums, NARDL simultaneously tests for cointegration and estimates separate long-run effects for increases and decreases — without requiring all variables to be integrated of the same order.The ARDL bounds test is an autoregressive distributed lag method that tests for a cointegrating (long-run level) relationship between time series, introduced by Pesaran, Shin and Smith in 2001. Unlike the Johansen procedure, it remains valid whether the variables are I(0), I(1) or a mix of the two, and it is more reliable than Johansen in small samples of roughly 30 to 80 observations.
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ScholarGateSammenlign metoder: Nonlinear ARDL bounds test · ARDL Bounds Test. Hentet 2026-06-18 fra https://scholargate.app/no/compare