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Epälineaarinen autoregressiivinen hajautettu viive (NARDL) -malli×Kynnysregressio×
TieteenalaEkonometriaEkonometria
MenetelmäperheRegression modelRegression model
Syntyvuosi20142000
KehittäjäShin, Yu & Greenwood-NimmoBruce E. Hansen
TyyppiAsymmetric cointegration / error-correction modelNonlinear regime-switching regression
AlkuperäislähdeShin, 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 ↗Hansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603. DOI ↗
Rinnakkaisnimetnonlinear ARDL, asymmetric ARDL, Doğrusal Olmayan ARDL (NARDL)threshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression)
Liittyvät45
TiivistelmäThe 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.Threshold 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.
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ScholarGateVertaile menetelmiä: NARDL Model · Threshold Regression. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare