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    Real-time prediction with UK monetary aggregates in the presence of model uncertainty

    Garratt, Anthony and Koop, G. and Mise, E. and Vahey, S.P. (2007) Real-time prediction with UK monetary aggregates in the presence of model uncertainty. Working Paper. Birkbeck, University of London, London, UK.

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    Abstract

    A popular account for the demise of the UK monetary targeting regime in the 1980s blames the weak predictive relationships between broad money and inflation and real output. In this paper, we investigate these relationships using a variety of monetary aggregates which were used as intermediate UK policy targets. We use both real-time and final vintage data and 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. Faced with this model uncertainty, we utilize Bayesian model averaging (BMA) and contrast it with a strategy of selecting a single best model. Using the real-time data available to UK policymakers at the time, we demonstrate that the in-sample predictive content of broad money fluctuates throughout the 1980s for both strategies. However, the strategy of choosing a single best model amplifies these fluctuations. Out-of-sample predictive evaluations rarely suggest that money matters for either inflation or real output, regardless of whether we select a single model or do BMA. Overall, we conclude that the money was a weak (and unreliable) predictor for these key macroeconomic variables. But the view that the predictive content of UK broad money diminished during the 1980s receives little support using either the real-time or final vintage data.

    Metadata

    Item Type: Monograph (Working Paper)
    Additional Information: BWPEF 0714
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Economics, Mathematics and Statistics
    Depositing User: Administrator
    Date Deposited: 26 Mar 2019 15:10
    Last Modified: 29 Jul 2019 13:09
    URI: http://eprints.bbk.ac.uk/id/eprint/26898

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