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Gambling by auctions

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  • Raviv, Yaron
  • Virag, Gabor

Abstract

We provide theoretical and empirical analysis of a selling mechanism used by an Internet web-site that combines important features of auctions and gambling. This is the first analysis of such a selling mechanism, which provides insights into how the two kinds of behavior might be related in real life. The winner of the object is the bidder with the highest bid not submitted by any other bidder. In the equilibrium of our game theoretical model, each bid made with positive probability yields the same probability of winning. Bidders are more likely to submit higher bids, and the bid distribution does not depend on the value of the object or the highest bid allowed if one controls for the number of bidders. Most of these key theoretical predictions are confirmed by the data.

Suggested Citation

  • Raviv, Yaron & Virag, Gabor, 2009. "Gambling by auctions," International Journal of Industrial Organization, Elsevier, vol. 27(3), pages 369-378, May.
    • Handle: RePEc:eee:indorg:v:27:y:2009:i:3:p:369-378
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    References listed on IDEAS

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    1. Besley, Timothy & Coate, Stephen & Loury, Glenn, 1993. "The Economics of Rotating Savings and Credit Associations," American Economic Review, American Economic Association, vol. 83(4), pages 792-810, September.
    2. repec:awi:wpaper:0471 is not listed on IDEAS
    3. Thomas A. Garrett & Russell S. Sobel, 2004. "State Lottery Revenue: The Importance of Game Characteristics," Public Finance Review, , vol. 32(3), pages 313-330, May.
    4. Kearney, Melissa Schettini, 2005. "State lotteries and consumer behavior," Journal of Public Economics, Elsevier, vol. 89(11-12), pages 2269-2299, December.
    5. Clotfelter, Charles T & Cook, Philip J, 1990. "On the Economics of State Lotteries," Journal of Economic Perspectives, American Economic Association, vol. 4(4), pages 105-119, Fall.
    6. Farrell, Lisa, et al, 2000. "The Demand for Lotto: The Role of Conscious Selection," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(2), pages 228-241, April.
    7. Jacob K. Goeree & Emiel Maasland & Sander Onderstal & John L. Turner, 2005. "How (Not) to Raise Money," Journal of Political Economy, University of Chicago Press, vol. 113(4), pages 897-926, August.
    8. Robert Ostling & Joseph T Wang & Eileen Chou & Colin F Camerer, 2007. "Field and Lab Convergence in Poisson LUPI games," Levine's Bibliography 122247000000001530, UCLA Department of Economics.
    9. Rapoport, Amnon & Otsubo, Hironori & Kim, Bora & Stein, William E., 2007. "Unique bid auctions: Equilibrium solutions and experimental evidence," MPRA Paper 4185, University Library of Munich, Germany, revised 17 Jul 2007.
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    Cited by:

    1. Gallice Andrea, 2016. "Price Reveal Auctions," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 16(2), pages 485-514, June.
    2. Mohlin, Erik & Östling, Robert & Wang, Joseph Tao-yi, 2015. "Lowest unique bid auctions with population uncertainty," Economics Letters, Elsevier, vol. 134(C), pages 53-57.
    3. Rapoport, Amnon & Otsubo, Hironori & Kim, Bora & Stein, William E., 2007. "Unique bid auctions: Equilibrium solutions and experimental evidence," MPRA Paper 4185, University Library of Munich, Germany, revised 17 Jul 2007.
    4. Eichberger, Jürgen & Vinogradov, Dmitri, 2016. "Efficiency of Lowest-Unmatched Price Auctions," Economics Letters, Elsevier, vol. 141(C), pages 98-102.
    5. Yamada, Takashi & Hanaki, Nobuyuki, 2016. "An experiment on Lowest Unique Integer Games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 88-102.
    6. Robert Östling & Joseph Tao-yi Wang & Eileen Y. Chou & Colin F. Camerer, 2011. "Testing Game Theory in the Field: Swedish LUPI Lottery Games," American Economic Journal: Microeconomics, American Economic Association, vol. 3(3), pages 1-33, August.
    7. Wang, Zhongmin & Xu, Minbo, 2016. "Selling a dollar for more than a dollar? Evidence from online penny auctions," Information Economics and Policy, Elsevier, vol. 36(C), pages 53-68.
    8. Erik Mohlin & Robert Ostling & Joseph Tao-yi Wang, 2014. "Learning by Imitation in Games: Theory, Field, and Laboratory," Economics Series Working Papers 734, University of Oxford, Department of Economics.
    9. Mohlin, Erik & Östling, Robert & Wang, Joseph Tao-yi, 2020. "Learning by similarity-weighted imitation in winner-takes-all games," Games and Economic Behavior, Elsevier, vol. 120(C), pages 225-245.
    10. Harold Houba & Dinard Laan & Dirk Veldhuizen, 2011. "Endogenous entry in lowest-unique sealed-bid auctions," Theory and Decision, Springer, vol. 71(2), pages 269-295, August.
    11. Costa-Gomes, Miguel A. & Shimoji, Makoto, 2014. "Theoretical approaches to lowest unique bid auctions," Journal of Mathematical Economics, Elsevier, vol. 52(C), pages 16-24.
    12. Peitz, Martin & Waldfogel, Joel, 2012. "The Oxford Handbook of the Digital Economy," OUP Catalogue, Oxford University Press, number 9780195397840, Decembrie.
    13. Andrea Gallice, 2008. "Lowest Unique Bid Auctions over the Internet: Ability, Lottery or Scam?," Department of Economic Policy, Finance and Development (DEPFID) University of Siena 0608, Department of Economic Policy, Finance and Development (DEPFID), University of Siena.
    14. Hinnosaar, Toomas, 2016. "Penny auctions," International Journal of Industrial Organization, Elsevier, vol. 48(C), pages 59-87.
    15. Marco Scarsini & Eilon Solan & Nicolas Vieille, 2010. "Lowest Unique Bid Auctions," Papers 1007.4264, arXiv.org.
    16. Nadir Altinok & Abdurrahman Aydemir, 2015. "The Unfolding of Gender Gap in Education," Working Papers 934, Economic Research Forum, revised Aug 2015.
    17. Toomas Hinnosaar, 2013. "Penny Auctions are Unpredictable," Carlo Alberto Notebooks 305, Collegio Carlo Alberto.

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