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Robustný model vektorovej autoregresie (Robust SVAR)×Vektorová autoregresia (VAR)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku2000s–2010s1980
TvorcaExtension of Sims (1980) SVAR with robust inference methodsChristopher A. Sims
TypStructural time series modelMultivariate time-series model
Pôvodný zdrojLutkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3540401728Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Ďalšie názvyrobust SVAR, robust structural VAR, heteroscedasticity-robust SVAR, outlier-robust structural VARVAR, VAR model, vector autoregressive model, multivariate autoregression
Príbuzné65
ZhrnutieThe 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.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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ScholarGatePorovnať metódy: Robust SVAR model · Vector Autoregression. Získané 2026-06-17 z https://scholargate.app/sk/compare