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Real-time prediction with U.K. monetary aggregates in the presence of model uncertainty

Garratt, Anthony and Koop, G. and Mise, E. and Vahey, S.P. (2009) Real-time prediction with U.K. monetary aggregates in the presence of model uncertainty. Journal of Business and Economic Statistics 27 (4), pp. 480-491. ISSN 0735-0015.

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A popular account for the demise of the U.K.’s monetary targeting regime in the 1980s blames the fluctuating predictive relationships between broad money and inflation and real output growth. Yet ex post policy analysis based on heavily revised data suggests no fluctuations in the predictive content of money. In this paper, we investigate the predictive relationships for inflation and output growth using both real-time and heavily revised data. We consider a large set of recursively estimated vector autoregressive (VAR) and vector error correction models (VECM). These models differ in terms of lag length and the number of cointegrating relationships. We use Bayesian model averaging (BMA) to demonstrate that real-time monetary policymakers faced considerable model uncertainty. The in-sample predictive content of money fluctuated during the 1980s as a result of data revisions in the presence of model uncertainty. This feature is only apparent with real-time data as heavily revised data obscure these fluctuations. Out-of-sample predictive evaluations rarely suggest that money matters for either inflation or real output. We conclude that both data revisions and model uncertainty contributed to the demise of the U.K.’s monetary targeting regime.

Item Type: Article
Keyword(s) / Subject(s): Money, vector error correction models, model uncertainty, Bayesian model averaging, real-time data
School or Research Centre: Birkbeck Schools and Research Centres > School of Business, Economics & Informatics > Economics, Mathematics and Statistics
Depositing User: Administrator
Date Deposited: 18 Nov 2010 12:25
Last Modified: 10 Jul 2013 13:06

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