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Bayesian VARs with large panels

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  • Domenico Giannone
  • Martha Banbura
  • Lucrezia Reichlin

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.

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Bibliographic Info

Paper provided by ULB -- Universite Libre de Bruxelles in its series ULB Institutional Repository with number 2013/13388.

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Date of creation: 2008
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Publication status: Forthcoming
Handle: RePEc:ulb:ulbeco:2013/13388

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References

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