ScholarGate
Assistent
Regression modelEconometrics / time series

Robust vektorautoregression (Robust VAR) model

Robust VAR-modellen udvider det klassiske vektorautoregressionsrammeværk ved at erstatte estimation med mindste kvadraters metode med robuste estimatorer – såsom M-estimatorer eller medianbaserede metoder – for at reducere indflydelsen fra outliers, strukturelle brud og "heavy-tailed" chok, der er almindelige i finansielle og makroøkonomiske tidsserier.

Anvend med EconMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

The neighbourhood of related methods — select a node to explore.

Kilder

  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

Sådan citerer du denne side

ScholarGate. (2026, June 3). Robust Vector Autoregression Model. ScholarGate. https://scholargate.app/da/econometrics/robust-var-model

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Refereret af

ScholarGateRobust VAR model (Robust Vector Autoregression Model). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/robust-var-model · Datasæt: https://doi.org/10.5281/zenodo.20539026