Large Bayesian vector auto agressions
Journal
Journal of Applied Econometrics
Subject
Economics
Publishing details
Authors / Editors
Reichlin L;Banbura M;Giannone D
Biographies
Publication Year
2010
Abstract
This paper shows that vector auto regression (VAR) with Bayesian shrinkage is an appropriate tool for large dynamic models. We build on the results of De Mol and co-workers (2008) and show that, when the degree of shrinkage is set in relation to the cross-sectional dimension, the forecasting performance of small monetary VARs can be improved by adding additional macroeconomic variables and sectoral information. In addition, we show that large VARs with shrinkage produce credible impulse responses and are suitable for structural analysis.
Available on ECCH
No