विधियों की तुलना करें

	सदिश त्रुटि सुधार मॉडल (VECM)	स्ट्रक्चरल वेक्टर ऑटोरेग्रेशन (SVAR)
क्षेत्र	अर्थमिति	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	1987	1980
प्रवर्तक	Robert F. Engle and Clive W. J. Granger	Sims (1980); identification schemes by Blanchard & Quah (1989)
प्रकार	Multivariate time-series model	Multivariate time series model
मौलिक स्रोत	Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276.	Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673.
उपनाम	VECM, error correction VAR, cointegrated VAR, vector equilibrium correction model	SVAR, structural vector autoregression, identified VAR, structural VAR model
संबंधित	5	5
सारांश	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.	Structural VAR extends the reduced-form VAR by imposing economic theory-based restrictions that identify orthogonal structural shocks. This allows researchers to disentangle the causal effects of distinct economic disturbances — such as supply versus demand shocks — and trace their dynamic propagation through a system of variables via impulse response functions and forecast error variance decompositions.