Real time representation of the UK output gap in the presence of model uncertainty
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.
Year of publication: |
2009
|
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Authors: | Garratt, Anthony ; Lee, Kevin ; Mise, Emi ; Shields, Kalvinder |
Published in: |
International Journal of Forecasting. - Elsevier, ISSN 0169-2070. - Vol. 25.2009, 1, p. 81-102
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Publisher: |
Elsevier |
Keywords: | Output gap Real time data Revisions Output trends Model uncertainty Probability forecasts |
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