Forecast Uncertainties in Macroeconometric Models: An Application to the UK Economy

Anthony Garratt (), Kevin Lee (), M Hashem Peseran and Yongcheol Shin

No 00/4, Discussion Papers in Economics from Division of Economics, School of Business, University of Leicester

Abstract: This paper argues that probability forecasts convey information on the uncertainties that surround macro-economic forecasts in a manner which is straightforward and which is preferable to other alternatives, including the use of confidence intervals. Probability forecasts relating to UK output growth and inflation, obtained using a small macro- econometric model, are presented. We discuss in detail the probability that inflation will fall within the Bank of England’s target range and that recession will be avoided, both as separate single events and jointly. The probability forecasts are also used to provide insights on the interrelatedness of output growth and inflation outcomes at different horizons.

Keywords: Probability Forecasting; Long Run Structural VARs; Macroeconomic Modelling, Probability Forecasts of Inflation; Interest Rates and Output Growth (search for similar items in EconPapers)
JEL-codes: C32 C53 E17 (search for similar items in EconPapers)
Date: 2000-06
New Economics Papers: this item is included in nep-ecm and nep-ets
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Citations: View citations in EconPapers (3)

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