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Nowcasting UK GDP growth

Author

Listed:
  • Bell, Venetia

    (Bank of England)

  • Co, Lai Wah

    (Bank of England)

  • Stone, Sophie

    (Bank of England)

  • Wallis, gavin`

    (Bank of England)

Abstract

Official estimates of UK GDP growth are published with a lag, but other data and statistical models provide an early indication of GDP growth. This article describes the approaches taken by Bank staff to produce early estimates (‘nowcasts’) of GDP growth, ahead of the publication of official estimates. Although the confidence bands around the Bank staff’s nowcasts can be large, these estimates have tended to be more accurate than those from a simple statistical model.

Suggested Citation

  • 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.
    • Handle: RePEc:boe:qbullt:0132
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    References listed on IDEAS

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    Cited by:

    1. Götz, Thomas B. & Knetsch, Thomas A., 2019. "Google data in bridge equation models for German GDP," International Journal of Forecasting, Elsevier, vol. 35(1), pages 45-66.
    2. Pinkwart, Nicolas, 2018. "Short-term forecasting economic activity in Germany: A supply and demand side system of bridge equations," Discussion Papers 36/2018, Deutsche Bundesbank.
    3. Carlos León & Fabio Ortega, 2018. "Nowcasting Economic Activity with Electronic Payments Data: A Predictive Modeling Approach," Revista de Economía del Rosario, Universidad del Rosario, vol. 21(2), pages 381-407, December.
    4. Barnett, Alina & Batten, Sandra & Chiu, Adrian & Franklin, Jeremy & Sebastia-Barriel, Maria, 2014. "The UK productivity puzzle," Bank of England Quarterly Bulletin, Bank of England, vol. 54(2), pages 114-128.
    5. Lin, Jiahe & Michailidis, George, 2024. "A multi-task encoder-dual-decoder framework for mixed frequency data prediction," International Journal of Forecasting, Elsevier, vol. 40(3), pages 942-957.
    6. Gary Koop & Stuart McIntyre & James Mitchell, 2020. "UK regional nowcasting using a mixed frequency vector auto‐regressive model with entropic tilting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 91-119, January.
    7. Drudi, Francesco & Moench, Emanuel & Holthausen, Cornelia & Weber, Pierre-François & Ferrucci, Gianluigi & Setzer, Ralph & Adao, Bernardino & Dées, Stéphane & Alogoskoufis, Spyros & Téllez, Mar Delgad, 2021. "Climate change and monetary policy in the euro area," Occasional Paper Series 271, European Central Bank.
    8. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.
    9. Emilian DOBRESCU, 2020. "Self-fulfillment degree of economic expectations within an integrated space: The European Union case study," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-32, December.
    10. Bholat, David, 2015. "Big data and central banks," Bank of England Quarterly Bulletin, Bank of England, vol. 55(1), pages 86-93.

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