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Robustni model vektorske autoregresije (Robust VAR)×Panel vektorska autoregresija (Panel VAR)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1980s–2000s1988
TvoracExtensions by Lutkepohl and others building on Sims (1980) VAR frameworkHoltz-Eakin, Newey & Rosen
VrstaMultivariate time-series model with robust estimationPanel vector autoregression
Temeljni izvorGoncalves, S., & Kilian, L. (2004). Bootstrapping autoregressions with conditional heteroskedasticity of unknown form. Journal of Econometrics, 123(1), 89-120. DOI ↗Holtz-Eakin, D., Newey, W. & Rosen, H. S. (1988). Estimating Vector Autoregressions with Panel Data. Econometrica, 56(6), 1371-1395. DOI ↗
Drugi nazivirobust VAR, outlier-robust VAR, heavy-tailed VAR, RVARPVAR, panel vector autoregression, Panel VAR (PVAR)
Srodne53
SažetakThe 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.Panel VAR extends the vector autoregression model to panel data, modelling the dynamic interactions among several variables while controlling for cross-unit heterogeneity through fixed effects. It was introduced by Holtz-Eakin, Newey and Rosen in 1988 and produces impulse-response functions and variance decompositions at the panel level.
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ScholarGateUsporedite metode: Robust VAR model · Panel VAR. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare