Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
999692 | International Journal of Forecasting | 2009 | 22 Pages |
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 1961q2q2–2005q4q4.
Related Topics
Social Sciences and Humanities
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Business and International Management
Authors
Anthony Garratt, Kevin Lee, Emi Mise, Kalvinder Shields,