Home  |  Login


Academic Papers

Large Bayesian VARs

Reichlin, L., Giannone, D., Banbura, M.
Date Published: 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. Copyright © 2009 John Wiley & Sons, Ltd.

Citation:
Reichlin, L., Giannone, D., Banbura, M., “Large Bayesian VARs”, Journal of Applied Econometrics, 2010.

Search Google Scholar for this entry




Copyright © 2023   Lucrezia Reichlin     Website Terms & Conditions Website Design & Development for Academics By VisioSoft T&C
User Guide 14