IDEAS home Printed from https://ideas.repec.org/p/boe/boeewp/0695.html
   My bibliography  Save this paper

The impact of uncertainty shocks in the United Kingdom

Author

Listed:
  • Redl, Chris

    (Bank of England)

Abstract

This paper uses a data-rich environment to produce direct econometric estimates of macroeconomic and financial uncertainty in the United Kingdom for the period 1991–2016. These indices exhibit significant independent variation from popular proxies for macroeconomic and financial uncertainty. We identify the impact of uncertainty shocks using narrative sign restrictions, which allow us to exploit individual historic events to separate the impact of macroeconomic, financial and credit shocks on real variables. Using only traditional sign restrictions, we find that the real effects of macroeconomic uncertainty shocks are generally weaker than proxies suggest and that the effects depend on a subsequent rise in financial uncertainty and credit spreads to have a negative impact on GDP. Exploiting narrative events such as the disorderly exit from the Exchange Rate Mechanism, the dot-com recession and the financial crisis support this finding. However, conditioning on narrative events more closely associated with political uncertainty, ie tight general elections, suggests a stronger impact response of GDP to macro uncertainty shocks. We find these results are robust to controlling for both financial and global uncertainty.

Suggested Citation

  • Redl, Chris, 2017. "The impact of uncertainty shocks in the United Kingdom," Bank of England working papers 695, Bank of England.
  • Handle: RePEc:boe:boeewp:0695
    as

    Download full text from publisher

    File URL: https://www.bankofengland.co.uk/-/media/boe/files/working-paper/2017/the-impact-of-uncertainty-shocks-in-the-united-kingdom.pdf?la=en&hash=1148266DE8476F4B7AE885BCCD2BEA74F1E12BB1
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Redl, Chris, 2020. "Uncertainty matters: Evidence from close elections," Journal of International Economics, Elsevier, vol. 124(C).
    2. Benjamin Born & Gernot J Müller & Moritz Schularick & Petr Sedláček, 2019. "The Costs of Economic Nationalism: Evidence from the Brexit Experiment," The Economic Journal, Royal Economic Society, vol. 129(623), pages 2722-2744.
    3. Galvao, Ana Beatriz & Mitchell, James, 2019. "Measuring Data Uncertainty : An Application using the Bank of England’s “Fan Charts” for Historical GDP Growth," EMF Research Papers 24, Economic Modelling and Forecasting Group.
    4. Nina Biljanovska & Francesco Grigoli & Martina Hengge, 2021. "Fear thy neighbor: Spillovers from economic policy uncertainty," Review of International Economics, Wiley Blackwell, vol. 29(2), pages 409-438, May.
    5. Tosapol Apaitan & Pongsak Luangaram & Pym Manopimoke, 2020. "Uncertainty and Economic Activity: Does it Matter for Thailand?," PIER Discussion Papers 130, Puey Ungphakorn Institute for Economic Research.
    6. Lucyna Gornicka, 2018. "Brexit Referendum and Business Investment in the UK," IMF Working Papers 2018/247, International Monetary Fund.
    7. Bobasu, Alina & Geis, André & Quaglietti, Lucia & Ricci, Martino, 2021. "Tracking global economic uncertainty: implications for the euro area," Working Paper Series 2541, European Central Bank.
    8. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin, 2021. "Financial and nonfinancial global stock market volatility shocks," Economic Modelling, Elsevier, vol. 96(C), pages 128-134.
    9. Abiad, Abdul & Qureshi, Irfan A., 2023. "The macroeconomic effects of oil price uncertainty," Energy Economics, Elsevier, vol. 125(C).
    10. repec:zbw:bofrdp:2021_001 is not listed on IDEAS
    11. Nicholas Bloom & Philip Bunn & Scarlet Chen & Paul Mizen & Pawel Smietanka & Greg Thwaites & Garry Young, 2018. "Brexit and Uncertainty: Insights from the Decision Maker Panel," Fiscal Studies, John Wiley & Sons, vol. 39(4), pages 555-580, December.
    12. Eleni Kalamara & Arthur Turrell & Chris Redl & George Kapetanios & Sujit Kapadia, 2022. "Making text count: Economic forecasting using newspaper text," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 896-919, August.
    13. Kim, Wongi, 2019. "Government spending policy uncertainty and economic activity: US time series evidence," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    14. Tsvetomir Tsvetkov & Sonya Georgieva, 2022. "Inflation, Inflation Instability and Nominal Uncertainty in Bulgarian Economy," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 41-64.
    15. Giovanni Caggiano & Efrem Castelnuovo, 2021. "Global Uncertainty," CESifo Working Paper Series 8885, CESifo.
    16. Andreas Dibiasi & Samad Sarferaz, 2020. "Measuring Macroeconomic Uncertainty: The Labor Channel of Uncertainty from a Cross-Country Perspective," Papers 2006.09007, arXiv.org, revised Dec 2020.
    17. Josué Diwambuena & Jean-Paul K. Tsasa, 2021. "The Real Effects of Uncertainty Shocks: New Evidence from Linear and Nonlinear SVAR Models," BEMPS - Bozen Economics & Management Paper Series BEMPS87, Faculty of Economics and Management at the Free University of Bozen.
    18. Tosapol Apaitan & Pongsak Luangaram & Pym Manopimoke, 2022. "Uncertainty in an emerging market economy: evidence from Thailand," Empirical Economics, Springer, vol. 62(3), pages 933-989, March.
    19. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2020. "Revising the Impact of Financial and Non-Financial Global Stock Market Volatility Shocks," MPRA Paper 103019, University Library of Munich, Germany.
    20. Dibiasi, Andreas & Sarferaz, Samad, 2023. "Measuring macroeconomic uncertainty: A cross-country analysis," European Economic Review, Elsevier, vol. 153(C).

    More about this item

    Keywords

    Economic uncertainty; business cycles; United Kingdom;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boe:boeewp:0695. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Digital Media Team (email available below). General contact details of provider: https://edirc.repec.org/data/boegvuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.