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Procuring Commodities: First-Price Sealed-Bid or English Auctions?

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  • Jason Shachat

    (Wang Yanan Institute for Studies in Economics (WISE) and the MOE Key Laboratory of Econometrics, Xiamen University, Xiamen, 361005 China)

  • Lijia Wei

    (Wang Yanan Institute for Studies in Economics (WISE) and the MOE Key Laboratory of Econometrics, Xiamen University, Xiamen, 361005 China)

Abstract

We use laboratory experiments to examine the relative performance of the English auction (EA) and the first-price sealed-bid auction (FPA) when procuring a commodity. The mean and variance of prices are lower in the FPA than in the EA. Bids and prices in the EA agree with game-theoretic predictions, but they do not agree in the FPA. To resolve these deviations found in the FPA, we introduce a mixture model with three bidding rules: constant absolute markup, constant percentage markup, and strategic best response. A dynamic specification in which bidders can switch strategies as they gain experience is estimated as a hidden Markov model. Initially, about three quarters of the subjects are strategic bidders, but over time, the number of strategic bidders falls to below 65%. There is a corresponding growth in those who use the constant absolute markup rule.

Suggested Citation

  • Jason Shachat & Lijia Wei, 2012. "Procuring Commodities: First-Price Sealed-Bid or English Auctions?," Marketing Science, INFORMS, vol. 31(2), pages 317-333, March.
  • Handle: RePEc:inm:ormksc:v:31:y:2012:i:2:p:317-333
    DOI: 10.1287/mksc.1120.0704
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    6. Grundl, Serafin & Zhu, Yu, 2023. "Robust inference in first-price auctions: Overbidding as an identifying restriction," Journal of Econometrics, Elsevier, vol. 235(2), pages 484-506.
    7. Jason Shachat & Lijia Wei, 2013. "Discrete Rule Learning and the Bidding of the Sexes," Working Papers 1302, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 02 Jul 2013.
    8. Jan Niederreiter, 2023. "Broadening Economics in the Era of Artificial Intelligence and Experimental Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 265-294, March.
    9. Antonello Maruotti & Jan Bulla & Tanya Mark, 2019. "Assessing the influence of marketing activities on customer behaviors: a dynamic clustering approach," METRON, Springer;Sapienza Università di Roma, vol. 77(1), pages 19-42, April.
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