IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v41y2025i3p863-876.html
   My bibliography  Save this article

Trust the experts? The performance of inflation expectations, 1960–2023

Author

Listed:
  • Goodspeed, Tyler

Abstract

Using the oldest continuous surveys of U.S. inflation expectations, I find that when inflation is low, the average professional forecaster is generally rational (unbiased, with serially uncorrelated errors) and efficient (exploits available information), and inflation moves one-for-one with their expectations, whereas the average consumer is biased, underreacts to inflation, and inflation moves independently of their expectations. In contrast, when inflation is high the average consumer is generally unbiased, rational, and efficient, and inflation moves one-for-one with their expectations, while the opposite is true of professionals. Neither the median consumer nor median professional is fully rational and efficient, with the consumer underreacting when inflation is low and overreacting when inflation is high. However, inflation moves one-for-one with the median consumer forecast when inflation is high. Results are consistent with an inflation process characterized by two regimes—a low-inflation regime in which consumers are inattentive, and a high-inflation regime in which consumers are highly attentive and inflation moves with their expectations.11The numerical results presented in the manuscript were reproduced by CASCaD on the 19th of September 2024.

Suggested Citation

  • Goodspeed, Tyler, 2025. "Trust the experts? The performance of inflation expectations, 1960–2023," International Journal of Forecasting, Elsevier, vol. 41(3), pages 863-876.
  • Handle: RePEc:eee:intfor:v:41:y:2025:i:3:p:863-876
    DOI: 10.1016/j.ijforecast.2024.06.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0169207024000608
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijforecast.2024.06.006?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Inflation; Forecasting; Expectations; Macroeconomics; History;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • N1 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations

    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:eee:intfor:v:41:y:2025:i:3:p:863-876. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijforecast .

    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.