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Real time representation of the UK output gap in the presence of model uncertainty

Anthony Garratt (), Kevin Lee (), Emi Mise and Kalvinder Shields

International Journal of Forecasting, 2009, vol. 25, issue 1, 81-102

Abstract: We undertake an empirical analysis of the UK output gap using real-time data and an approach that accommodates, in a coherent way, three types of uncertainty when measuring the gap. These are model uncertainty (associated with the choice of model and de-trending technique), estimation uncertainty (with a given model) and measurement uncertainty (associated with the reliability of the data). The approach employs VAR models, along with Bayesian-style 'model averaging' procedures, to jointly explain and forecast real-time measures and realisations of output series. A comprehensive representation of the UK output gap and the associated uncertainties are provided in real time by probability forecasts over 1961q2-2005q4.

Keywords: Output; gap; Real; time; data; Revisions; Output; trends; Model; uncertainty; Probability; forecasts (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (26)

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