IDEAS home Printed from https://ideas.repec.org/p/chu/wpaper/24-04.html
   My bibliography  Save this paper

Ambiguity and Ambiguity Attitudes across Auctions

Author

Listed:
  • Cary Deck

    (University of Alabama and Chapman University)

  • Paan Jindapon

    (University of Alabama)

  • Tigran Melkonyan

    (University of Alabama)

  • Mark Schneider

    (University of Alabama)

Abstract

Studies of ambiguity perceptions and attitudes are moving beyond the Ellsberg urn to examine people’s responses to ambiguity in naturally occurring events, games, and financial markets. In this study, we measure ambiguity perceptions and attitudes for market prices and allocations in four classical auction formats (first-price and second-price sealed bid auctions, English and Dutch clock auctions). We find ambiguity attitudes, representing individual preferences, are stable across auctions. However, the perceived ambiguity surrounding auction prices is lowest for English clock auctions which are obviously strategyproof (OSP), followed by second-price auctions which are strategyproof (SP), followed by a tie between first-price and Dutch clock auctions which are not strategyproof. Viewing OSP mechanisms as strategically simpler than SP mechanisms, and SP as strategically simpler than non-strategyproof mechanisms, our findings suggest ambiguity increases with strategic complexity. For allocations, we find perceived ambiguity is high for all four auction formats.

Suggested Citation

  • Cary Deck & Paan Jindapon & Tigran Melkonyan & Mark Schneider, 2024. "Ambiguity and Ambiguity Attitudes across Auctions," Working Papers 24-04, Chapman University, Economic Science Institute.
  • Handle: RePEc:chu:wpaper:24-04
    as

    Download full text from publisher

    File URL: https://digitalcommons.chapman.edu/esi_working_papers/400/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Ambiguity; Ambiguity Attitude; Auctions;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

    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:chu:wpaper:24-04. 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: Megan Luetje (email available below). General contact details of provider: https://edirc.repec.org/data/esichus.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.