Сравнение методов

	Байесовская модель структурной векторной авторегрессии (B-SVAR)	Векторная авторегрессия (VAR)
Область	Эконометрика	Эконометрика
Семейство	Regression model	Regression model
Год появления	1998–2005	1980
Автор метода	Sims & Zha (1998); Uhlig (2005) for sign-restriction identification	Christopher A. Sims
Тип	Structural multivariate time-series model	Multivariate time-series model
Основополагающий источник	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.
Другие названия	Bayesian SVAR, B-SVAR, Bayesian structural VAR, Bayesian identified VAR	VAR, VAR model, vector autoregressive model, multivariate autoregression
Связанные	6	5
Сводка	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.