Compară metode

	NARDL cu Rupturi Structurale	Modelul Vectorial cu Corecție de Eroare (VECM)
Domeniu	Econometrie	Econometrie
Familie	Regression model	Regression model
Anul apariției	2014–2018	1987
Autorul original	Shin, Yu & Greenwood-Nimmo (NARDL base); structural break extensions by subsequent applied researchers	Robert F. Engle and Clive W. J. Granger
Tip	Nonlinear cointegration with structural breaks	Multivariate time-series model
Sursa seminală	Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In W. C. Horrace & R. C. Sickles (Eds.), Festschrift in Honor of Peter Schmidt (pp. 281–314). Springer.	Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276.
Denumiri alternative	SB-NARDL, NARDL with structural breaks, nonlinear ARDL with break, asymmetric ARDL structural break	VECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Înrudite	6	5
Rezumat	Structural Break NARDL extends the Nonlinear Autoregressive Distributed Lag (NARDL) bounds-testing framework by explicitly accommodating one or more structural breaks in the long-run relationship. It separates positive and negative changes in the regressor, tests for cointegration, and allows regime shifts, providing a richer picture of asymmetric and break-sensitive dynamics between variables.	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.