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Model de Vector Autoregressiu Estructural Robuste (Robust SVAR)×Model de Correcció d'Errors Vectorial (VECM)×
CampEconometriaEconometria
FamíliaRegression modelRegression model
Any d'origen2000s–2010s1987
Autor originalExtension of Sims (1980) SVAR with robust inference methodsRobert F. Engle and Clive W. J. Granger
TipusStructural time series modelMultivariate time-series model
Font seminalLutkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3540401728Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Àliesrobust SVAR, robust structural VAR, heteroscedasticity-robust SVAR, outlier-robust structural VARVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Relacionats65
ResumThe Robust SVAR model extends the classical Structural VAR framework by incorporating robust estimation and inference methods that remain valid in the presence of heteroscedasticity, non-Gaussian errors, or outliers. By combining structural identification with robust statistical procedures, it produces reliable impulse responses and forecast error variance decompositions even when standard SVAR assumptions are violated in macroeconomic data.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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ScholarGateCompara mètodes: Robust SVAR model · Vector Error Correction Model. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare