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Model bayesowskiej strukturalnej autoregresji wektorowej (B-SVAR)×Autoregresja Wektorowa (VAR)×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania1998–20051980
TwórcaSims & Zha (1998); Uhlig (2005) for sign-restriction identificationChristopher A. Sims
TypStructural multivariate time-series modelMultivariate time-series model
Źródło pierwotneSims, C. A., & Zha, T. (1998). Bayesian methods for dynamic multivariate models. International Economic Review, 39(4), 949–968. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Inne nazwyBayesian SVAR, B-SVAR, Bayesian structural VAR, Bayesian identified VARVAR, VAR model, vector autoregressive model, multivariate autoregression
Pokrewne65
PodsumowanieThe 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.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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