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Big Bids and Bidder Behavior in Uniform Price Auctions: Evidence from Peer-to-Peer Loan Markets

Author

Listed:
  • Garrett T. Senney

    (Office of the Comptroller of the Currency)

  • Jonathan R. Lhost

    (Lawrence University)

Abstract

We investigate the effect of big bids on uniform price auctions with the use of data from peer-to-peer loan auctions. Following a big bid by a prospective lender, subsequent bidders are less likely to enter the auction, and those that do enter tend to bid higher interest rates. We show that bidders are not reacting to the identity of the big bidder—just to the bigness of the bid. Additionally, we find that auctions with a big bid receive fewer bids overall, but these loan requests are still more likely to get funded and to have higher interest rates. These results have strong implications for maximizing a seller’s revenue (or minimizing a buyer’s cost in a procurement auction) and the allocative efficiency in uniform price auctions.

Suggested Citation

  • Garrett T. Senney & Jonathan R. Lhost, 2023. "Big Bids and Bidder Behavior in Uniform Price Auctions: Evidence from Peer-to-Peer Loan Markets," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 63(3), pages 349-372, November.
  • Handle: RePEc:kap:revind:v:63:y:2023:i:3:d:10.1007_s11151-023-09912-2
    DOI: 10.1007/s11151-023-09912-2
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    References listed on IDEAS

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    1. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-685, May.
    2. Herzenstein, Michal & Dholakia, Utpal M. & Andrews, Rick L., 2011. "Strategic Herding Behavior in Peer-to-Peer Loan Auctions," Journal of Interactive Marketing, Elsevier, vol. 25(1), pages 27-36.
    3. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    4. Kenneth Bollen & David Guilkey & Thomas Mroz, 1995. "Binary outcomes and endogenous explanatory variables: Tests and solutions with an application to the demand for contraceptive use in tunisia," Demography, Springer;Population Association of America (PAA), vol. 32(1), pages 111-131, February.
    5. Juanjuan Zhang & Peng Liu, 2012. "Rational Herding in Microloan Markets," Management Science, INFORMS, vol. 58(5), pages 892-912, May.
    6. J. Scott Long & Sarah A. Mustillo, 2021. "Using Predictions and Marginal Effects to Compare Groups in Regression Models for Binary Outcomes," Sociological Methods & Research, , vol. 50(3), pages 1284-1320, August.
    7. Kagel, John H & Levin, Dan, 2001. "Behavior in Multi-unit Demand Auctions: Experiments with Uniform Price and Dynamic Vickrey Auctions," Econometrica, Econometric Society, vol. 69(2), pages 413-454, March.
    8. Ali Hortaçsu & Steven L. Puller, 2008. "Understanding strategic bidding in multi‐unit auctions: a case study of the Texas electricity spot market," RAND Journal of Economics, RAND Corporation, vol. 39(1), pages 86-114, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Auctions; Bidding; Crowdfunding; Peer-to-peer lending;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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