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The Visible Hand: Finger Ratio (2D:4D) and Competitive Behavior

Author

Listed:
  • Matthew Pearson
  • Burkhard C. Schipper

    (Department of Economics, University of California Davis)

Abstract

In an experiment using two-bidder first-price sealed bid auctions with symmetric independent private values, we scan also the right hand of each subject. We study how the ratio of the length of the index and ring fingers (2D:4D) of the right hand, a measure of prenatal hormone exposure, is correlated with bidding behavior and total profits. 2D:4D has been reported to predict competitiveness in sports competition (Manning and Taylor, 2001, and Honekopp, Manning and Muller, 2006), risk aversion in an investment task (Dreber and Hoffman, 2007), and the average profitability of high-frequency traders in financial markets (Coates, Gurnell and Rustichini, 2009). We do not find any significant correlation between 2D:4D and both bidding or profits. Yet, our study raises an issue of ethnic differences with respect to 2D:4D.

Suggested Citation

  • Matthew Pearson & Burkhard C. Schipper, 2009. "The Visible Hand: Finger Ratio (2D:4D) and Competitive Behavior," Working Papers 66, University of California, Davis, Department of Economics.
  • Handle: RePEc:cda:wpaper:66
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    File URL: https://repec.dss.ucdavis.edu/files/AkWVsF29mV3iagYTnrK9wix9/09-12.pdf
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    References listed on IDEAS

    as
    1. Pearson, Matthew & Schipper, Burkhard C., 2013. "Menstrual cycle and competitive bidding," Games and Economic Behavior, Elsevier, vol. 78(C), pages 1-20.
    2. Krishna, Vijay, 2009. "Auction Theory," Elsevier Monographs, Elsevier, edition 2, number 9780123745071.
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    9. David Cesarini & Christopher T. Dawes & Magnus Johannesson & Paul Lichtenstein & Björn Wallace, 2009. "Genetic Variation in Preferences for Giving and Risk Taking," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 809-842.
    10. Marco Casari & John C. Ham & John H. Kagel, 2007. "Selection Bias, Demographic Effects, and Ability Effects in Common Value Auction Experiments," American Economic Review, American Economic Association, vol. 97(4), pages 1278-1304, September.
    11. Pearson, Matthew & Schipper, Burkhard C., 2013. "Menstrual cycle and competitive bidding," Games and Economic Behavior, Elsevier, vol. 78(C), pages 1-20.
    12. Ham, John C. & Kagel, John H., 2006. "Gender effects in private value auctions," Economics Letters, Elsevier, vol. 92(3), pages 375-382, September.
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    14. Chen, Yan & Katuščák, Peter & Ozdenoren, Emre, 2013. "Why canʼt a woman bid more like a man?," Games and Economic Behavior, Elsevier, vol. 77(1), pages 181-213.
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    Cited by:

    1. Pearson, Matthew & Schipper, Burkhard C., 2013. "Menstrual cycle and competitive bidding," Games and Economic Behavior, Elsevier, vol. 78(C), pages 1-20.
    2. Sergio Da Silva & Dinorá Baldo & Raul Matsushita, 2013. "Biological correlates of the Allais paradox," Applied Economics, Taylor & Francis Journals, vol. 45(5), pages 555-568, February.
    3. Pearson, Matthew & Schipper, Burkhard C., 2013. "Menstrual cycle and competitive bidding," Games and Economic Behavior, Elsevier, vol. 78(C), pages 1-20.
    4. Da Silva, Sergio & Baldo, Dinora & Matsushita, Raul, 2011. "Biological correlates of the Allais paradox - updated," MPRA Paper 32747, University Library of Munich, Germany.

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    More about this item

    Keywords

    Hormones; Digit ratio; 2D:4D; Risk behavior; Competition; Competitive behavior; Bidding; Endocrinological economics;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • 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
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

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