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Model d'Autoregressió Distribuïda No Lineal (NARDL)×System GMM (Arellano-Bover / Blundell-Bond)×
CampEconometriaEconometria
FamíliaRegression modelRegression model
Any d'origen20141998
Autor originalShin, Yu & Greenwood-NimmoArellano & Bover (1995); Blundell & Bond (1998)
TipusAsymmetric cointegration / error-correction modelDynamic panel data estimator
Font seminalShin, 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 ↗Arellano, M. & Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. Review of Economic Studies, 58(2), 277-297. DOI ↗
Àliesnonlinear ARDL, asymmetric ARDL, Doğrusal Olmayan ARDL (NARDL)Arellano-Bover estimator, Blundell-Bond estimator, dynamic panel GMM, Sistem GMM (Arellano-Bover / Blundell-Bond)
Relacionats44
ResumThe 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.System GMM is a generalized method of moments estimator for dynamic panel models that contain a lagged dependent variable. Introduced by Blundell and Bond (1998), building on Arellano and Bover, it augments the differenced equation of the earlier difference GMM (Arellano-Bond) with the equation in levels to deliver consistent estimates when N is large and T is small.
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ScholarGateCompara mètodes: NARDL Model · System GMM. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare