Regression modelEconometrics / time series

Robust Vector Autoregression (Robust VAR) Model

The Robust VAR model extends the classical Vector Autoregression framework by replacing ordinary least squares estimation with robust estimators — such as M-estimators or median-based methods — to reduce the influence of outliers, structural breaks, and heavy-tailed shocks common in financial and macroeconomic time series.

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Sources

  1. Goncalves, S., & Kilian, L. (2004). Bootstrapping autoregressions with conditional heteroskedasticity of unknown form. Journal of Econometrics, 123(1), 89-120. DOI: 10.1016/j.jeconom.2003.10.030
  2. Lutkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer, Berlin. ISBN: 978-3540401728

Related methods

Referenced by

ScholarGateRobust VAR model (Robust Vector Autoregression Model). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/robust-var-model