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Large Bayesian vector auto regressions

Marta Banbura (), Domenico Giannone () and Lucrezia Reichlin ()

Journal of Applied Econometrics, 2010, vol. 25, issue 1, 71-92

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. Copyright © 2009 John Wiley & Sons, Ltd.

Date: 2010
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Related works:
Journal Article: Large Bayesian vector auto regressions (2010) Downloads
Working Paper: Large Bayesian vector auto regressions (2010)
Working Paper: Large Bayesian VARs (2008) Downloads
Working Paper: Large Bayesian VARs (2008) Downloads
Working Paper: Bayesian VARs with Large Panels (2007) Downloads
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