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Bayesov strukturni VAR (B-SVAR) model×Vektorski model korekcije pogreške (VECM)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1998–20051987
TvoracSims & Zha (1998); Uhlig (2005) for sign-restriction identificationRobert F. Engle and Clive W. J. Granger
VrstaStructural multivariate time-series modelMultivariate time-series model
Temeljni izvorSims, C. A., & Zha, T. (1998). Bayesian methods for dynamic multivariate models. International Economic Review, 39(4), 949–968. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Drugi naziviBayesian SVAR, B-SVAR, Bayesian structural VAR, Bayesian identified VARVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Srodne65
SažetakThe Bayesian Structural Vector Autoregression model combines the structural identification of SVAR with Bayesian prior distributions over parameters. It estimates causal impulse responses between multiple time series while incorporating prior economic knowledge and producing full posterior uncertainty bands rather than point estimates alone.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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ScholarGateUsporedite metode: Bayesian SVAR model · Vector Error Correction Model. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare