A Gibbs simulator for restricted VAR models

Daniel Waggoner and Tao Zha

No 2000-3, FRB Atlanta Working Paper from Federal Reserve Bank of Atlanta

Abstract: Many economic applications call for simultaneous equations VAR modeling. We show that the existing importance sampler can be prohibitively inefficient for this type of models. We develop a Gibbs simulator that works for both simultaneous and recursive VAR models with a much broader range of linear restrictions than those in the existing literature. We show that the required computation is of an SUR type, and thus our method can be implemented cheaply even for large systems of multiple equations.

Keywords: Econometric models; Vector autoregression; Monetary policy; time series analysis (search for similar items in EconPapers)
Date: 2000
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