IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v41y2025i1p66-75.html
   My bibliography  Save this article

Forecasting presidential elections: Accuracy of ANES voter intentions

Author

Listed:
  • Ko, Hyein
  • Jackson, Natalie
  • Osborn, Tracy
  • Lewis-Beck, Michael S.

Abstract

Despite research on the accuracy of polls as tools for forecasting presidential elections, we lack an assessment of how accurately the ANES, arguably the most used survey in political science, measures aggregate vote intention relative to the actual election results. Our ANES 1952–2020 results indicate that the reported vote from the post-election surveys accurately measures the actual vote (e.g., it is off by 2.23 percentage points, on average). Moreover, the intended vote measure from the pre-election surveys reasonably accurately predicts the actual aggregate popular vote outcome. While outliers may exist, they do not appear to come from variations in the survey mode, sample weights, time, political party, or turnout. We conclude that political scientists can confidently use the intended vote measure, keeping in mind that forecasting the popular vote may not always reveal the actual winner.

Suggested Citation

  • Ko, Hyein & Jackson, Natalie & Osborn, Tracy & Lewis-Beck, Michael S., 2025. "Forecasting presidential elections: Accuracy of ANES voter intentions," International Journal of Forecasting, Elsevier, vol. 41(1), pages 66-75.
  • Handle: RePEc:eee:intfor:v:41:y:2025:i:1:p:66-75
    DOI: 10.1016/j.ijforecast.2024.03.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0169207024000281
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijforecast.2024.03.003?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.

    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:1:p:66-75. 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.