Salīdzināt metodes

	Bayesiskais strukturālais VAR (B-SVAR) modelis	Vektora autoregresija (VAR)
Nozare	Ekonometrija	Ekonometrija
Saime	Regression model	Regression model
Izcelsmes gads	1998–2005	1980
Autors	Sims & Zha (1998); Uhlig (2005) for sign-restriction identification	Christopher A. Sims
Tips	Structural multivariate time-series model	Multivariate time-series model
Pirmavots	Sims, C. A., & Zha, T. (1998). Bayesian methods for dynamic multivariate models. International Economic Review, 39(4), 949–968.	Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48.
Citi nosaukumi	Bayesian SVAR, B-SVAR, Bayesian structural VAR, Bayesian identified VAR	VAR, VAR model, vector autoregressive model, multivariate autoregression
Saistītās	6	5
Kopsavilkums	The 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.