IDEAS home Printed from https://ideas.repec.org/a/wly/jforec/v44y2025i3p1097-1131.html
   My bibliography  Save this article

A Snapshot of Central Bank (Two‐Year) Forecasting: A Mixed Picture

Author

Listed:
  • Charles A. E. Goodhart
  • Manoj Pradhan

Abstract

Between 2001 and 2023, Central Bank forecasts were patently inaccurate. In this paper, we argue that many of such forecast failings were already present during the earlier years of inflation targetry. Central Banks normally adjust monetary policy so that inflation hits the Inflation Target (IT) within two years. Since a central bank must believe its policy stance is appropriate to achieve this goal, its inflation forecast at the two‐year horizon should generally be close to target. We examine whether this has held for three main Central Banks, Bank of England, ECB, and Fed. Although over the IT period prior to 2020, both forecasts and outcomes were commendably close to target, we found that this was due to a sizeable forecast underestimate of the effects of policy and inherent resilience to revive inflation after the GFC crisis hit, largely offset by an overestimate of the effect of monetary policy to restore inflation to target during the more normal times. We attribute such latter overestimation to an unwarranted belief in forward‐looking, “well anchored”, expectations amongst households and firms, and to a failure to recognize the underlying disinflationary trends, especially in 2010–2019. We outline a novel means for assessing whether these latter trends were primarily demand driven, e.g. secular stagnation, or supply shocks, a labor supply surge. Finally, we examine how forecasts for the uncertainty of outcomes and relative risk (skew) to the central forecast have developed by examining the Bank of England's fan chart, again at the two‐year horizon.

Suggested Citation

  • Charles A. E. Goodhart & Manoj Pradhan, 2025. "A Snapshot of Central Bank (Two‐Year) Forecasting: A Mixed Picture," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(3), pages 1097-1131, April.
  • Handle: RePEc:wly:jforec:v:44:y:2025:i:3:p:1097-1131
    DOI: 10.1002/for.3244
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/for.3244
    Download Restriction: no

    File URL: https://libkey.io/10.1002/for.3244?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Francesco D'Acunto & Ulrike M. Malmendier & Michael Weber & Michael Weber, 2022. "What Do the Data Tell Us about Inflation Expectations?," CESifo Working Paper Series 9602, CESifo.
    2. Lucia Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon Potter, 2014. "Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 483-500, October.
    3. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    4. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2017. "Inflation Expectations, Learning, and Supermarket Prices: Evidence from Survey Experiments," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(3), pages 1-35, July.
    5. Brachinger, Hans Wolfgang, 2008. "A new index of perceived inflation: Assumptions, method, and application to Germany," Journal of Economic Psychology, Elsevier, vol. 29(4), pages 433-457, August.
    6. G. Kontogeorgos & K. Lambrias, 2022. "Evaluating the Eurosystem/ECB staff macroeconomic projections: The first 20 years," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 213-229, March.
    7. Kenneth F. Wallis, 1999. "Asymmetric density forecasts of inflation and the Bank of England's fan chart," National Institute Economic Review, National Institute of Economic and Social Research, vol. 167(1), pages 106-112, January.
    8. Kenneth F. Wallis, 1999. "Asymmetric density forecasts of inflation and the Bank of England's fan chart," National Institute Economic Review, National Institute of Economic and Social Research, vol. 167(1), pages 106-112, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Goodhart, C. A. E. & Pradhan, Manoj, 2023. "A snapshot of Central Bank (two year) forecasting: a mixed picture," LSE Research Online Documents on Economics 118680, London School of Economics and Political Science, LSE Library.
    2. James Mitchell & Martin Weale, 2023. "Censored density forecasts: Production and evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 714-734, August.
    3. Olivier Coibion & Dimitris Georgarakos & Yuriy Gorodnichenko & Maarten van Rooij, 2023. "How Does Consumption Respond to News about Inflation? Field Evidence from a Randomized Control Trial," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(3), pages 109-152, July.
    4. Kemp, Gordon C.R. & Santos Silva, J.M.C., 2012. "Regression towards the mode," Journal of Econometrics, Elsevier, vol. 170(1), pages 92-101.
    5. Granziera, Eleonora & Jalasjoki, Pirkka & Paloviita, Maritta, 2024. "The bias of the ECB inflation projections: A State-dependent analysis," Bank of Finland Research Discussion Papers 4/2024, Bank of Finland.
    6. Terasvirta, Timo, 2006. "Forecasting economic variables with nonlinear models," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 8, pages 413-457, Elsevier.
    7. Francesco D’Acunto & Daniel Hoang & Michael Weber, 2022. "Managing Households’ Expectations with Unconventional Policies," The Review of Financial Studies, Society for Financial Studies, vol. 35(4), pages 1597-1642.
    8. Jarko Fidrmuc & Christa Hainz & Werner Hölzl, 2024. "Individual credit market experience and beliefs about bank lending policy: evidence from a firm survey," Scandinavian Journal of Economics, Wiley Blackwell, vol. 126(2), pages 387-414, April.
    9. Bartosz Maćkowiak & Filip Matějka & Mirko Wiederholt, 2023. "Rational Inattention: A Review," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 226-273, March.
    10. Knüppel, Malte & Schultefrankenfeld, Guido, 2019. "Assessing the uncertainty in central banks’ inflation outlooks," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1748-1769.
    11. Joni Heikkinen & Kari Heimonen, 2025. "Media Tone: The Role of News and Social Media on Heterogeneous Inflation Expectations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(3), pages 881-921, April.
    12. Michael Weber & Bernardo Candia & Hassan Afrouzi & Tiziano Ropele & Rodrigo Lluberas & Serafin Frache & Brent Meyer & Saten Kumar & Yuriy Gorodnichenko & Dimitris Georgarakos & Olivier Coibion & Geoff, 2025. "Tell Me Something I Don't Already Know: Learning in Low‐ and High‐Inflation Settings," Econometrica, Econometric Society, vol. 93(1), pages 229-264, January.
    13. Hyndman, Rob J. & Khandakar, Yeasmin, 2008. "Automatic Time Series Forecasting: The forecast Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
    14. Benchimol, Jonathan & El-Shagi, Makram & Saadon, Yossi, 2022. "Do expert experience and characteristics affect inflation forecasts?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 201, pages 205-226.
    15. Ali Al‐Nowaihi & Livio Stracca, 2003. "Behavioural Central Bank Loss Functions, Skewed Risks and Certainty Equivalence," Manchester School, University of Manchester, vol. 71(s1), pages 21-38, September.
    16. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., "undated". "The Properties of Some Goodness-of-Fit Tests," Economic Research Papers 269466, University of Warwick - Department of Economics.
    17. Glas, Alexander & Heinisch, Katja, 2023. "Conditional macroeconomic survey forecasts: Revisions and errors," Journal of International Money and Finance, Elsevier, vol. 138(C).
    18. Dong Jin Lee, 2009. "Testing Parameter Stability in Quantile Models: An Application to the U.S. Inflation Process," Working papers 2009-26, University of Connecticut, Department of Economics.
    19. Tomasz Łyziak & Xuguang Simon Sheng, 2023. "Disagreement in Consumer Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2215-2241, December.
    20. Hensel, Jannik & Mangiante, Giacomo & Moretti, Luca, 2024. "Carbon pricing and inflation expectations: Evidence from France," Journal of Monetary Economics, Elsevier, vol. 147(C).

    More about this item

    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:wly:jforec:v:44:y:2025:i:3:p:1097-1131. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/2966 .

    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.