IDEAS home Printed from https://ideas.repec.org/a/bla/socsci/v101y2020i1p161-171.html
   My bibliography  Save this article

An Empirical Test of the Comey Effect on the 2016 Presidential Election

Author

Listed:
  • Dennis Halcoussis
  • Anton D. Lowenberg
  • G. Michael Phillips

Abstract

Objectives The contentious 2016 U.S. presidential election was marked by acrimonious televised debates between the two major candidates, Hillary Clinton and Donald Trump, federal investigations of Clinton's emails that were sent from a personal server when she held office as Secretary of State, and the release of a videotape of lewd remarks by Trump about his behavior toward women. Financial market uncertainty also played in role in the election campaign. The objective of the article is to examine the impact of these different factors on the election. Method The present article uses a popular vote prediction market to test the impact of these factors on the probability of Trump winning the election. Results Results indicate that the debates and videotape release were not statistically significant, but that a letter to Congress released by FBI Director James B. Comey on October 28, 2016, substantially decreased Clinton's probability of winning the popular vote and simultaneously increased Trump's probability. Financial market uncertainty is found to have some marginal positive effect on Trump's probability of winning. Conclusion Trump's probability of winning the election received a substantial boost from FBI Director James B. Comey's “last‐minute” announcement on October 28, 2016.

Suggested Citation

  • Dennis Halcoussis & Anton D. Lowenberg & G. Michael Phillips, 2020. "An Empirical Test of the Comey Effect on the 2016 Presidential Election," Social Science Quarterly, Southwestern Social Science Association, vol. 101(1), pages 161-171, January.
  • Handle: RePEc:bla:socsci:v:101:y:2020:i:1:p:161-171
    DOI: 10.1111/ssqu.12729
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/ssqu.12729
    Download Restriction: no

    File URL: https://libkey.io/10.1111/ssqu.12729?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
    ---><---

    Citations

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


    Cited by:

    1. Almond, Douglas & Du, Xinming, 2020. "Later bedtimes predict President Trump’s performance," Economics Letters, Elsevier, vol. 197(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:bla:socsci:v:101:y:2020:i:1:p:161-171. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0038-4941 .

    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.