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Regresia s prahovou hodnotou×Nelineárny autoregresný distribuovaný lag (NARDL) model×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku20002014
TvorcaBruce E. HansenShin, Yu & Greenwood-Nimmo
TypNonlinear regime-switching regressionAsymmetric cointegration / error-correction model
Pôvodný zdrojHansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603. 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 ↗
Ďalšie názvythreshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression)nonlinear ARDL, asymmetric ARDL, Doğrusal Olmayan ARDL (NARDL)
Príbuzné54
ZhrnutieThreshold regression is a nonlinear, regime-switching model in which the regression parameters take different values above and below an estimated threshold value of a threshold variable. The sample-splitting and threshold-estimation framework was developed by Bruce E. Hansen (2000) and is widely used for time-series and panel data with structural breaks and regime-dependent relationships.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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ScholarGatePorovnať metódy: Threshold Regression · NARDL Model. Získané 2026-06-15 z https://scholargate.app/sk/compare