IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v32y2025i2p183-187.html
   My bibliography  Save this article

Do older adults accurately forecast their social security benefits?

Author

Listed:
  • Grant M. Seiter
  • Sita Nataraj Slavov

Abstract

How accurate are older people’s expectations about their future Social Security benefits? Using panel data from the Health and Retirement Study, we compare respondents’ observed Social Security claiming ages and benefits with subjective expectations provided during their 50s and early 60s. We find that, while older adults generally have accurate expectations about their claiming age, they underestimate their annual Social Security income by approximately $1,896 (11.5%) on average. However, both accuracy and precision increase with age, and the forecast error for people in their early 60s is not statistically different from zero. Exploiting plausibly exogenous variation in the mailing of Social Security statements, which contain personalized information about future benefits, we show that information provision reduces the forecast error in annual income by $344 (2.1% of the average benefit).

Suggested Citation

  • Grant M. Seiter & Sita Nataraj Slavov, 2025. "Do older adults accurately forecast their social security benefits?," Applied Economics Letters, Taylor & Francis Journals, vol. 32(2), pages 183-187, January.
  • Handle: RePEc:taf:apeclt:v:32:y:2025:i:2:p:183-187
    DOI: 10.1080/13504851.2023.2259593
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2023.2259593
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2023.2259593?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

    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:taf:apeclt:v:32:y:2025:i:2:p:183-187. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.