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Forecasting from Structural Econometric Models

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  • David Hendry
  • Grayham E. Mizon

Abstract

Understanding the workings of whole economies is essential for sound policy advice - but not necessarily for accurate forecasts. Structural models play a major role at most central banks and many other governmental agencies, yet almost none forecast the financial crisis and ensuing recession. We focus on the problem of forecast failure that has become prominent during and after that crisis, and illustrate its sources and many surprising implications using a simple model. An application to 'forecasting' UK GDP over 2008(1)-2011(2) is consistent with our interpretation.

Suggested Citation

  • David Hendry & Grayham E. Mizon, 2012. "Forecasting from Structural Econometric Models," Economics Series Working Papers 597, University of Oxford, Department of Economics.
  • Handle: RePEc:oxf:wpaper:597
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    References listed on IDEAS

    as
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    Cited by:

    1. Bell, Venetia & Co, Lai Wah & Stone, Sophie & Wallis, gavin`, 2014. "Nowcasting UK GDP growth," Bank of England Quarterly Bulletin, Bank of England, vol. 54(1), pages 58-68.
    2. Wolfgang Nierhaus, 2013. "Economic Forecasts Today– Possibilities and Problems," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(01), pages 25-32, January.

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    More about this item

    Keywords

    Structural models; Location shifts; Economic forecasting; Autometrics;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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