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फूरियर नॉनलाइनियर एडीएल (फूरियर NARDL)×सदिश त्रुटि सुधार मॉडल (VECM)×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष2014–2020s1987
प्रवर्तकExtension of Shin, Yu & Greenwood-Nimmo (2014) NARDL, incorporating Fourier terms from Becker, Enders & Lee (2006)Robert F. Engle and Clive W. J. Granger
प्रकारNonlinear cointegrating model with smooth break approximationMultivariate time-series model
मौलिक स्रोतShin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt (pp. 281–314). Springer. link ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
उपनामFourier NARDL, Fourier nonlinear ARDL, F-NARDL, Fourier asymmetric ARDLVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
संबंधित65
सारांशFourier NARDL extends the Nonlinear ARDL (NARDL) bounds-testing framework by adding Fourier trigonometric terms to the error-correction equation, allowing the model to capture smooth, gradual structural breaks in the long-run relationship without requiring the researcher to know or specify the break date in advance.The Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series.
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