Marta Banbura
Domenico Giannone
Lucrezia Reichlin

large bayesian vector auto regressions (replication data)

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.

Data and Resources

Suggested Citation

Banbura, Marta; Giannone, Domenico; Reichlin, Lucrezia (2010): Large Bayesian vector auto regressions (replication data). Version: 1. Journal of Applied Econometrics. Dataset.