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अरैखिक ऑटोरेग्रेसिव डिस्ट्रीब्यूटेड लैग (NARDL) मॉडल×सिस्टम जीएमएम (अरेलानो-बोवर / ब्लंडेल-बॉन्ड)×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष20141998
प्रवर्तकShin, Yu & Greenwood-NimmoArellano & Bover (1995); Blundell & Bond (1998)
प्रकारAsymmetric cointegration / error-correction modelDynamic panel data estimator
मौलिक स्रोतShin, 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 ↗
उपनामnonlinear ARDL, asymmetric ARDL, Doğrusal Olmayan ARDL (NARDL)Arellano-Bover estimator, Blundell-Bond estimator, dynamic panel GMM, Sistem GMM (Arellano-Bover / Blundell-Bond)
संबंधित44
सारांशThe 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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