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An Historical Perspective on Forecast Errors

Published online by Cambridge University Press:  26 March 2020

Michael P. Clements  and
David F. Hendry
Michael P. Clements
Affiliation:
Department of Economics, University of Warwick
David F. Hendry
Affiliation:
Department of Economics, University of Oxford
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Abstract

Using annual observations on industrial production over the last three centuries, and on GDP over a 100-year period, we seek an historical perspective on the forecastability of these UK output measures. The series are dominated by strong upward trends, so we consider various specifications of this, including the local linear trend structural time-series model, which allows the level and slope of the trend to vary. Our results are not unduly sensitive to how the trend in the series is modelled: the average sizes of the forecast errors of all models, and the wide span of prediction intervals, attests to a great deal of uncertainty in the economic environment. It appears that, from an historical perspective, the postwar period has been relatively more forecastable.

Type
Articles
Information
National Institute Economic Review , Volume 177 , July 2001 , pp. 100 - 112
Copyright
Copyright © 2001 National Institute of Economic and Social Research

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Footnotes

∗

Financial support from the UK Economic and Social Research Council under grant no. L116251015 is gratefully acknowledged by both authors. All computations were performed using code written in Gauss. Tommaso Proietti kindly provided the Gauss code to estimate the local linear trend model.

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