IDEAS home Printed from https://ideas.repec.org/p/cda/wpaper/11-9.html
   My bibliography  Save this paper

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

Author

Listed:
  • Matthew Pearson
  • Burkhard 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 and 400 subjects, 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 Hoenekopp, Manning, and Mueller, 2006), risk aversion in lottery tasks (Dreber and Hoffman, 2007, Garbarino et al., 2010), 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 on either bidding or profits. However, there might be racial differences in the correlation between 2D:4D and bidding and profits.

Suggested Citation

  • Matthew Pearson & Burkhard Schipper, 2011. "The Visible Hand: Finger Ratio (2D:4D) and Competitive Bidding," Working Papers 119, University of California, Davis, Department of Economics.
  • Handle: RePEc:cda:wpaper:11-9
    as

    Download full text from publisher

    File URL: http://wp.econ.ucdavis.edu/11-9.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Hamermesh, Daniel S & Biddle, Jeff E, 1994. "Beauty and the Labor Market," American Economic Review, American Economic Association, vol. 84(5), pages 1174-1194, December.
    3. Anne Case & Christina Paxson, 2008. "Stature and Status: Height, Ability, and Labor Market Outcomes," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 499-532, June.
    4. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    5. Burkhard Schipper, 2012. "Sex Hormones and Choice under Risk," Working Papers 127, University of California, Davis, Department of Economics.
    6. Santiago Sanchez-Pages & Enrique Turiegano, 2009. "Testosterone, Facial Symmetry and Cooperation in the Prisoners' Dilemma," ESE Discussion Papers 192, Edinburgh School of Economics, University of Edinburgh.
    7. Morgan John & Steiglitz Ken & Reis George, 2003. "The Spite Motive and Equilibrium Behavior in Auctions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 2(1), pages 1-27, April.
    8. 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, Oxford University Press, vol. 124(2), pages 809-842.
    9. Chen, Yan & Katuscak, Peter & Ozdenoren, Emre, 2007. "Sealed bid auctions with ambiguity: Theory and experiments," Journal of Economic Theory, Elsevier, vol. 136(1), pages 513-535, September.
    10. Burkhard C. Schipper, 2015. "Sex Hormones and Competitive Bidding," Management Science, INFORMS, vol. 61(2), pages 249-266, February.
    11. 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.
    12. Francine D. Blau & Lawrence M. Kahn, 2000. "Gender Differences in Pay," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 75-99, Fall.
    13. Krishna, Vijay, 2009. "Auction Theory," Elsevier Monographs, Elsevier, edition 2, number 9780123745071.
    14. Pearson, Matthew & Schipper, Burkhard C., 2013. "Menstrual cycle and competitive bidding," Games and Economic Behavior, Elsevier, vol. 78(C), pages 1-20.
    15. Greiner, Ben, 2004. "An Online Recruitment System for Economic Experiments," MPRA Paper 13513, University Library of Munich, Germany.
    16. Ham, John C. & Kagel, John H., 2006. "Gender effects in private value auctions," Economics Letters, Elsevier, vol. 92(3), pages 375-382, September.
    17. Cox, James C & Smith, Vernon L & Walker, James M, 1988. "Theory and Individual Behavior of First-Price Auctions," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 61-99, March.
    18. Emel Filiz-Ozbay & Erkut Y. Ozbay, 2007. "Auctions with Anticipated Regret: Theory and Experiment," American Economic Review, American Economic Association, vol. 97(4), pages 1407-1418, September.
    19. Ellen Garbarino & Robert Slonim & Justin Sydnor, 2011. "Digit ratios (2D:4D) as predictors of risky decision making for both sexes," Journal of Risk and Uncertainty, Springer, vol. 42(1), pages 1-26, February.
    20. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cueva, Carlos & Iturbe-Ormaetxe, Iñigo & Mata-Pérez, Esther & Ponti, Giovanni & Sartarelli, Marcello & Yu, Haihan & Zhukova, Vita, 2016. "Cognitive (ir)reflection: New experimental evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 81-93.
    2. Judit Alonso & Roberto Di Paolo & Giovanni Ponti & Marcello Sartarelli, 2017. "Some (Mis)facts about 2D:4D, Preferences and Personality," Working Papers. Serie AD 2017-08, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Pablo Brañas-Garza & Matteo M. Galizzi & Jeroen Nieboer, 2014. "Digit ratio and risk taking: Evidence from a large, multi-ethnic sample," Working Papers 14-23, Chapman University, Economic Science Institute.
    4. Dalton, P.S. & Ghosal, S., 2014. "Self-Confidence, Overconfidence and Prenatal Testorone Exposure : Evidence from the Lab," Discussion Paper 2014-014, Tilburg University, Center for Economic Research.
    5. Neyse, Levent & Brañas-Garza, Pablo, 2014. "Digit ratio measurement guide," Kiel Working Papers 1914, Kiel Institute for the World Economy (IfW).
    6. Sergio Da Silva & Bruno Moreira & Newton Da Costa Jr, 2015. "Handedness and digit ratio predict overconfidence in cognitive and motor skill tasks in a sample of preschoolers," Economics Bulletin, AccessEcon, vol. 35(2), pages 1087-1097.
    7. Pearson, Matthew & Schipper, Burkhard C., 2013. "Menstrual cycle and competitive bidding," Games and Economic Behavior, Elsevier, vol. 78(C), pages 1-20.
    8. Buser, Thomas, 2012. "Digit ratios, the menstrual cycle and social preferences," Games and Economic Behavior, Elsevier, vol. 76(2), pages 457-470.
    9. Thomas Buser, 2011. "Hormones and Social Preferences," Tinbergen Institute Discussion Papers 11-046/3, Tinbergen Institute.
    10. Patricio S. Dalton & Sayantan Ghosal, 2014. "Self-Confidence, Overconfidence and Prenatal Testosterone Exposure: Evidence from the Lab," Working Papers 2014_02, Business School - Economics, University of Glasgow.
    11. Galizzi, Matteo M. & Nieboer, Jeroen, 2015. "Digit ratio (2D:4D) and altruism: evidence from a large, multi-ethnic sample," LSE Research Online Documents on Economics 60982, London School of Economics and Political Science, LSE Library.
    12. Neyse, Levent & Friedl, Andreas & Schmidt, Ulrich, 2014. "Payment Scheme Changes and Effort Provision: The Effect of Digit Ratio," MPRA Paper 59549, University Library of Munich, Germany.

    More about this item

    Keywords

    Hormones; Digit ratio; 2D:4D; Risk behavior; Competition; Competitive behavior; Auctions; Bidding; Endocrinological economics;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cda:wpaper:11-9. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Scott Dyer). General contact details of provider: http://edirc.repec.org/data/educdus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.