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ARDL Bounds Test (Pesaran Bounds Test)×Model nelineární autoregresní distribuované zpoždění (NARDL)×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku20012014
TvůrcePesaran, Shin & SmithShin, Yu & Greenwood-Nimmo
TypCointegration test / Autoregressive distributed lag modelAsymmetric cointegration / error-correction model
Původní zdrojPesaran, 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 ↗Shin, Y., Yu, B. & Greenwood-Nimmo, M. (2014). Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework. In: Sickles, R. & Horrace, W. (Eds.), Festschrift in Honor of Peter Schmidt. Springer. DOI ↗
Další názvyPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)nonlinear ARDL, asymmetric ARDL, Doğrusal Olmayan ARDL (NARDL)
Příbuzné44
ShrnutíThe 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.The NARDL model, introduced by Shin, Yu and Greenwood-Nimmo in 2014, extends the ARDL framework to capture asymmetric long-run and short-run relationships, testing whether positive and negative changes in a regressor affect the dependent variable differently.
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ScholarGatePorovnat metody: ARDL Bounds Test · NARDL Model. Získáno 2026-06-17 z https://scholargate.app/cs/compare