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An Historical Perspective on Forecast Errors

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  • Michael P. Clements

    (Department of Economics, University of Warwick)

  • David F. Hendry

    (Department of Economics, University of Oxford)

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.

Suggested Citation

  • Michael P. Clements & David F. Hendry, 2001. "An Historical Perspective on Forecast Errors," National Institute Economic Review, National Institute of Economic and Social Research, vol. 177(1), pages 100-112, July.
  • Handle: RePEc:sae:niesru:v:177:y:2001:i:1:p:100-112
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    Cited by:

    1. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    2. David Hendry & Grayham E. Mizon, 2012. "Forecasting from Structural Econometric Models," Economics Series Working Papers 597, University of Oxford, Department of Economics.
    3. Jennifer Castle & David Hendry & Oleg Kitov, 2013. "Forecasting and Nowcasting Macroeconomic Variables: A Methodological Overview," Economics Series Working Papers 674, University of Oxford, Department of Economics.

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