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Forecasting with Bayesian multivariate vintage-based VARs

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Carriero, Andrea, Clements, Michael P. and Galvão, Ana Beatriz (2014) Forecasting with Bayesian multivariate vintage-based VARs. International Journal of Forecasting, 31 (3). pp. 757-768. doi:10.1016/j.ijforecast.2014.05.007 ISSN 0169-2070.

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Official URL: http://dx.doi.org/10.1016/j.ijforecast.2014.05.007

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Abstract

We consider the forecasting of macroeconomic variables that are subject to revisions, using Bayesian vintage-based vector autoregressions. The prior incorporates the belief that, after the first few data releases, subsequent ones are likely to consist of revisions that are largely unpredictable. The Bayesian approach allows the joint modelling of the data revisions of more than one variable, while keeping the concomitant increase in parameter estimation uncertainty manageable. Our model provides markedly more accurate forecasts of post-revision values of inflation than do other models in the literature.

Item Type: Journal Article
Divisions: Faculty of Social Sciences > Economics
Journal or Publication Title: International Journal of Forecasting
Publisher: Elsevier
ISSN: 0169-2070
Official Date: July 2014
Dates:
DateEvent
16 October 2015Available
July 2014Published
Volume: 31
Number: 3
Page Range: pp. 757-768
DOI: 10.1016/j.ijforecast.2014.05.007
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)

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