IDEAS home Printed from https://ideas.repec.org/p/ags/aaea14/170478.html
   My bibliography  Save this paper

Personality and Procedural Invariance: Effects on Bidding Behavior Across Induced Value Experimental Auction Mechanisms

Author

Listed:
  • Sackett-Brian, Hillary M.
  • Shupp, Robert

Abstract

A growing literature exists on the design, implementation and evaluation of experimental auctions with a variety of non-market valuation applications. With behavioral economic models becoming more mainstreamed in the discipline, a natural question arises about how personality traits might affect bidding behavior in experimental auctions. To address this question, a series of induced-value experiments were carried out in the fall of 2012. Personality traits were measured in pre- and post-surveys aligning with the Midlife Development Inventory Analysis. Regression analysis determined the effects of personality traits on over- and under-bidding behaviors across four frequently used auction mechanism: the Becker-Degroot-Marschak, 2nd Price, Random Nth Price, and English auctions. Results indicate that only the BDM and Random Nth price auctions are significantly affected by personality profile. Specifically, openness, extraversion, and neuroticism are associated with overbidding behavior and agreeableness is associated with underbidding behaviors.

Suggested Citation

  • Sackett-Brian, Hillary M. & Shupp, Robert, 2014. "Personality and Procedural Invariance: Effects on Bidding Behavior Across Induced Value Experimental Auction Mechanisms," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170478, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea14:170478
    DOI: 10.22004/ag.econ.170478
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/170478/files/Sackett%20Shupp_AAEA%20Paper%204820.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.170478?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. Karen Lewis DeLong & Carola Grebitus, 2018. "Genetically modified labeling: The role of consumers’ trust and personality," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 266-282, March.

    More about this item

    Keywords

    Institutional and Behavioral Economics; Research Methods/ Statistical Methods;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaea14:170478. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.