Salīdzināt metodes

	Bayesiskais strukturālais VAR (B-SVAR) modelis	Strukturālā vektorautoregresija (SVAR)
Nozare	Ekonometrija	Ekonometrija
Saime	Regression model	Regression model
Izcelsmes gads	1998–2005	1980
Autors	Sims & Zha (1998); Uhlig (2005) for sign-restriction identification	Sims (1980); identification schemes by Blanchard & Quah (1989)
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.	Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673.
Citi nosaukumi	Bayesian SVAR, B-SVAR, Bayesian structural VAR, Bayesian identified VAR	SVAR, structural vector autoregression, identified VAR, structural VAR model
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.	Structural VAR extends the reduced-form VAR by imposing economic theory-based restrictions that identify orthogonal structural shocks. This allows researchers to disentangle the causal effects of distinct economic disturbances — such as supply versus demand shocks — and trace their dynamic propagation through a system of variables via impulse response functions and forecast error variance decompositions.