IDEAS home Printed from https://ideas.repec.org/a/fip/fedfel/00043.html
   My bibliography  Save this article

Persistent overoptimism about economic growth

Author

Listed:
  • Kevin J. Lansing
  • Benjamin Pyle

Abstract

Since 2007, Federal Open Market Committee participants have been persistently too optimistic about future U.S. economic growth. Real GDP growth forecasts have typically started high, but then are revised down over time as the incoming data continue to disappoint. Possible explanations for this pattern include missed warning signals about the buildup of imbalances before the crisis, overestimation of the efficacy of monetary policy following a balance-sheet recession, and the natural tendency of forecasters to extrapolate from recent data.

Suggested Citation

  • Kevin J. Lansing & Benjamin Pyle, 2015. "Persistent overoptimism about economic growth," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
  • Handle: RePEc:fip:fedfel:00043
    as

    Download full text from publisher

    File URL: https://www.frbsf.org/wp-content/uploads/el2015-03.pdf
    File Function: Full Text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paolo Gelain & Kevin J. Lansing & Caterina Mendicino, 2013. "House Prices, Credit Growth, and Excess Volatility: Implications for Monetary and Macroprudential Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 9(2), pages 219-276, June.
    2. repec:fip:fedfsp:y:2013:i:sept9 is not listed on IDEAS
    3. Loungani, Prakash, 2001. "How accurate are private sector forecasts? Cross-country evidence from consensus forecasts of output growth," International Journal of Forecasting, Elsevier, vol. 17(3), pages 419-432.
    4. John C Williams, 2013. "Bubbles Tomorrow and Bubbles Yesterday, but Never Bubbles Today?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 48(4), pages 224-230, October.
    5. 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.
    6. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    7. John C. Williams, 2013. "Bubbles tomorrow and bubbles yesterday, but never bubbles today?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue sept23.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Thunström, Linda & Nordström, Jonas & Shogren, Jason F., 2015. "Certainty and overconfidence in future preferences for food," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 101-113.
    2. Cust,James Frederick & Mihalyi,David, 2017. "Evidence for a presource curse ? oil discoveries, elevated expectations, and growth disappointments," Policy Research Working Paper Series 8140, The World Bank.
    3. Andrew Foerster, 2023. "The Evolution of Disagreement in the Dot Plot," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2023(21), pages 1-6, August.
    4. John B. Broughton & Bento J. Lobo, 2018. "Herding and anchoring in macroeconomic forecasts: the case of the PMI," Empirical Economics, Springer, vol. 55(3), pages 1337-1355, November.

    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. Gelain, Paolo & Lansing, Kevin J., 2014. "House prices, expectations, and time-varying fundamentals," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 3-25.
    2. Paolo Gelain & Kevin J. Lansing & Gisle J. Natvik, 2018. "Explaining the Boom–Bust Cycle in the U.S. Housing Market: A Reverse‐Engineering Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1751-1783, December.
    3. Cai, Michael & Del Negro, Marco & Giannoni, Marc P. & Gupta, Abhi & Li, Pearl & Moszkowski, Erica, 2019. "DSGE forecasts of the lost recovery," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1770-1789.
    4. Benchimol, Jonathan & El-Shagi, Makram & Saadon, Yossi, 2022. "Do expert experience and characteristics affect inflation forecasts?," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 205-226.
    5. Dovern, Jonas & Jannsen, Nils, 2017. "Systematic errors in growth expectations over the business cycle," International Journal of Forecasting, Elsevier, vol. 33(4), pages 760-769.
    6. Jalles, João Tovar, 2017. "On the rationality and efficiency of inflation forecasts: Evidence from advanced and emerging market economies," Research in International Business and Finance, Elsevier, vol. 40(C), pages 175-189.
    7. Anundsen, André Kallåk & Heebøll, Christian, 2016. "Supply restrictions, subprime lending and regional US house prices," Journal of Housing Economics, Elsevier, vol. 31(C), pages 54-72.
    8. Cust,James Frederick & Mihalyi,David, 2017. "Evidence for a presource curse ? oil discoveries, elevated expectations, and growth disappointments," Policy Research Working Paper Series 8140, The World Bank.
    9. Kurmaş Akdoğan, 2019. "Size and sign asymmetries in house price adjustments," Applied Economics, Taylor & Francis Journals, vol. 51(48), pages 5268-5281, October.
    10. Hagenhoff, Tim & Lustenhouwer, Joep, 2023. "The role of stickiness, extrapolation and past consensus forecasts in macroeconomic expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    11. Dovern, Jonas & Fritsche, Ulrich & Loungani, Prakash & Tamirisa, Natalia, 2015. "Information rigidities: Comparing average and individual forecasts for a large international panel," International Journal of Forecasting, Elsevier, vol. 31(1), pages 144-154.
    12. Winkler, Fabian, 2020. "The role of learning for asset prices and business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 42-58.
    13. Tsuchiya, Yoichi, 2023. "Assessing the World Bank’s growth forecasts," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 64-84.
    14. Hull, Isaiah, 2015. "What Broke First? Characterizing Sources of Structural Change Prior to the Great Recession," Working Paper Series 301, Sveriges Riksbank (Central Bank of Sweden).
    15. Łyziak, Tomasz & Paloviita, Maritta, 2018. "On the formation of inflation expectations in turbulent times: The case of the euro area," Economic Modelling, Elsevier, vol. 72(C), pages 132-139.
    16. Fatouh, Mahmoud & Giansante, Simone, 2023. "The cyclicality of bank credit losses and capital ratios under expected loss model," Bank of England working papers 1013, Bank of England.
    17. Zidong An & João Tovar Jalles & Prakash Loungani, 2018. "How well do economists forecast recessions?," International Finance, Wiley Blackwell, vol. 21(2), pages 100-121, June.
    18. Łyziak, Tomasz & Paloviita, Maritta, 2017. "Formation of inflation expectations in turbulent times: Can ECB manage inflation expectations of professional forecasters?," Bank of Finland Research Discussion Papers 13/2017, Bank of Finland.
    19. Jonas Dovern & Mr. Ulrich Fritsche & Mr. Prakash Loungani & Ms. Natalia T. Tamirisa, 2013. "Information Rigidities in Economic Growth Forecasts: Evidence from a Large International Panel," IMF Working Papers 2013/056, International Monetary Fund.
    20. Loungani, Prakash & Stekler, Herman & Tamirisa, Natalia, 2013. "Information rigidity in growth forecasts: Some cross-country evidence," International Journal of Forecasting, Elsevier, vol. 29(4), pages 605-621.

    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:fip:fedfel:00043. 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: Federal Reserve Bank of San Francisco Research Library (email available below). General contact details of provider: https://edirc.repec.org/data/frbsfus.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.