IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Understanding the MPC’s forecast performance since mid-2010

Author Info

Listed author(s):
  • Hackworth, Christopher

    ()

    (Bank of England)

  • Radia, Amar

    ()

    (Bank of England)

  • Roberts, Nyssa

    ()

    (Bank of England)

Abstract

Macroeconomic performance in the United Kingdom has been disappointing in recent years: for most of the post-crisis period, GDP growth has been unexpectedly weak, and inflation unexpectedly strong. That unexpected weakness in GDP reflects a combination of weaker growth in the United Kingdom’s trading partners, tighter domestic credit conditions and slower dissipation of uncertainty. Unanticipated rises in energy and other imported costs can broadly account for the surprising strength in inflation since mid-2010. Weak effective supply is likely to have counteracted the impact of weak demand on inflation.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.bankofengland.co.uk/publications/Documents/quarterlybulletin/2013/qb130405.pdf
File Function: Full text
Download Restriction: no

Article provided by Bank of England in its journal Bank of England Quarterly Bulletin.

Volume (Year): 53 (2013)
Issue (Month): 4 ()
Pages: 336-350

as
in new window

Handle: RePEc:boe:qbullt:0121
Contact details of provider: Postal:
Publications Group Bank of England Threadneedle Street London EC2R 8AH

Phone: +44 (0)171 601 4030
Fax: +44 (0)171 601 5196
Web page: http://www.bankofengland.co.uk/
Email:


More information through EDIRC

Keywords:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Barnett, Alina & Thomas, Ryland, 2013. "Has weak lending and activity in the United Kingdom been driven by credit supply shocks?," Bank of England working papers 482, Bank of England.
  2. Joyce, Michael & Tong, Matthew & Woods, Robert, 2011. "The United Kingdom’s quantitative easing policy: design, operation and impact," Bank of England Quarterly Bulletin, Bank of England, vol. 51(3), pages 200-212.
  3. Haddow, Abigail & Hare, Chris & Hooley, John & Shakir, Tamarah, 2013. "Macroeconomic uncertainty: what is it, how can we measure it and why does it matter?," Bank of England Quarterly Bulletin, Bank of England, vol. 53(2), pages 100-109.
  4. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
  5. Burgess, Stephen & Fernandez-Corugedo, Emilio & Groth, Charlotta & Harrison, Richard & Monti, Francesca & Theodoridis, Konstantinos & Waldron, Matt, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.
  6. Villa, Stefania & Yang, Jing, 2011. "Financial intermediaries in an estimated DSGE model for the United Kingdom," Bank of England working papers 431, Bank of England.
  7. Nixon, Dan & Smith, Tom, 2012. "What can the oil futures curve tell us about the outlook for oil prices?," Bank of England Quarterly Bulletin, Bank of England, vol. 52(1), pages 39-47.
Full references (including those not matched with items on IDEAS)

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

as
in new window


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. Fawcett, Nicholas & Koerber, Lena & Masolo, Riccardo & Waldron, Matthew, 2015. "Evaluating UK point and density forecasts from an estimated DSGE model: the role of off-model information over the financial crisis," Bank of England working papers 538, Bank of England.
  3. Chowla, Shiv & Quaglietti, Lucia & Rachel, Lukasz, 2014. "How have world shocks affected the UK economy?," Bank of England Quarterly Bulletin, Bank of England, vol. 54(2), pages 167-179.
  4. Bunn, Philip & Rostom, May, 2014. "Household debt and spending," Bank of England Quarterly Bulletin, Bank of England, vol. 54(3), pages 304-315.
  5. Alexander HARIN, 2014. "Partially Unforeseen Events. Corrections and Correcting Formulae for Forecasts," Expert Journal of Economics, Sprint Investify, vol. 2(2), pages 69-79.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Access and download statistics

When requesting a correction, please mention this item's handle: RePEc:boe:qbullt:0121. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Publications Group)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.