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Does feedback really matter in one-shot first-price auctions?

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  • Katuščák, Peter
  • Michelucci, Fabio
  • Zajíček, Miroslav

Abstract

Does the type of posterior feedback affect how people decide in one-shot environments? We revisit this question in first-price auction markets. We consider three feedback types: minimal (only knowing whether winning or not), loser (also knowing the winning bid) and winner (knowing the second highest bid if winning). Filiz-Ozbay and Ozbay (2007) find that loser as opposed to minimal or winner feedback increases bids. We use three novel protocols and additionally replicate theirs. Using a sample of 624 subjects, we find that bidders’ ex ante knowledge of posterior feedback type has no systematic effect on the average bid/value ratios.

Suggested Citation

  • Katuščák, Peter & Michelucci, Fabio & Zajíček, Miroslav, 2015. "Does feedback really matter in one-shot first-price auctions?," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 139-152.
    • Handle: RePEc:eee:jeborg:v:119:y:2015:i:c:p:139-152
    DOI: 10.1016/j.jebo.2015.08.002
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    Cited by:

    1. Sautua, Santiago I., 2017. "Does uncertainty cause inertia in decision making? An experimental study of the role of regret aversion and indecisiveness," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 1-14.
    2. Fan, Cuihong & Jun, Byoung Heon & Wolfstetter, Elmar G., 2016. "Optimal bid disclosure in patent license auctions under alternative modes of competition," International Journal of Industrial Organization, Elsevier, vol. 47(C), pages 1-32.
    3. Ninoslav Malekovic & Lazaros Goutas & Juliana Sutanto & Dennis Galletta, 2020. "Regret under different auction designs: the case of English and Dutch auctions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 151-161, March.
    4. Adrien Coiffard & Raphaële Préget & Mabel Tidball, 2023. "Target versus budget reverse auctions: an online experiment using the strategy method," Working Papers hal-04055743, HAL.
    5. Paul Pezanis-Christou & Hang Wu, 2017. "A Naïve Approach to Bidding," School of Economics and Public Policy Working Papers 2017-03, University of Adelaide, School of Economics and Public Policy.
    6. Adrien Coiffard & Raphaële Préget & Mabel Tidball, 2023. "Target versus budget reverse auctions: an online experiment using the strategy method," CEE-M Working Papers hal-04055743, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    7. Ingebretsen Carlson, Jim & Wu, Tingting, 2022. "Shill bidding and information in eBay auctions: A Laboratory study," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 341-360.
    8. Ingebretsen Carlson, Jim & Wu, Tingting, 2018. "Shill Bidding and Information in Sequential Auctions: A Laboratory Study," Working Papers 2018:18, Lund University, Department of Economics.
    9. Llorente-Saguer, Aniol & Zultan, Ro’i, 2017. "Collusion and information revelation in auctions," European Economic Review, Elsevier, vol. 95(C), pages 84-102.
    10. Paul Pezanis-Christou & Hang Wu, 2018. "A non-game-theoretic approach to bidding in first-price and all-pay auctions," School of Economics and Public Policy Working Papers 2018-12, University of Adelaide, School of Economics and Public Policy.

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    More about this item

    Keywords

    Auctions; Feedback; Regret; Market design;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions

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