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Forecast accuracy and efficiency at the Bank of England – and how errors can be leveraged to do better

Author

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  • Kanngiesser, Derrick

    (Bank of England)

  • Willems, Tim

    (Bank of England)

Abstract

We propose a systematic approach for central banks to leverage past forecasts (and associated errors) with the aim of learning more about the structure and functioning of the underlying economy. Applying this method to forecasts made by the Bank of England’s Monetary Policy Committee since 2011, we find that its forecasts have tended to underestimate pass‑through from wage growth, whilst also featuring a Phillips curve that is too flat. Regarding the effects of monetary policy, our results point to transmission via inflation expectations possibly having played a bigger role than attributed to it in the forecast. We also provide a more classical evaluation of forecast errors – finding inflation forecasts to have been unbiased. At the same time, however, inflation forecasts tend to be less accurate than those for real GDP growth, unemployment, and wage growth. This seems attributable to greater inherent uncertainties in the inflation process.

Suggested Citation

  • Kanngiesser, Derrick & Willems, Tim, 2024. "Forecast accuracy and efficiency at the Bank of England – and how errors can be leveraged to do better," Bank of England working papers 1078, Bank of England.
  • Handle: RePEc:boe:boeewp:1078
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    References listed on IDEAS

    as
    1. Svensson, Lars E. O., 1997. "Inflation forecast targeting: Implementing and monitoring inflation targets," European Economic Review, Elsevier, vol. 41(6), pages 1111-1146, June.
    2. Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
    3. Cesa-Bianchi, Ambrogio & Thwaites, Gregory & Vicondoa, Alejandro, 2020. "Monetary policy transmission in the United Kingdom: A high frequency identification approach," European Economic Review, Elsevier, vol. 123(C).
    4. Allan Timmermann, 2007. "An Evaluation of the World Economic Outlook Forecasts," IMF Staff Papers, Palgrave Macmillan, vol. 54(1), pages 1-33, May.
    5. Reifschneider, David & Tulip, Peter, 2019. "Gauging the uncertainty of the economic outlook using historical forecasting errors: The Federal Reserve’s approach," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1564-1582.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Forecasting; forecast error analysis; monetary policy;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

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