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The visible hand: finger ratio (2D:4D) and competitive bidding

Published online by Cambridge University Press:  14 March 2025

Matthew Pearson and
Burkhard C. Schipper
Matthew Pearson*
Affiliation:
Department of Economics, University of California, Davis, USA
Burkhard C. Schipper*
Affiliation:
Department of Economics, University of California, Davis, USA
*
pearson@ucdavis.edu
bcschipper@ucdavis.edu
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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 in Evol. Hum. Behav. 22:61–69, 2001, and Hönekopp et al. in Horm. Behav. 49:545–549, 2006), risk aversion in lottery tasks (Dreber and Hoffman in Portfolio selection in utero. Stockholm School of Economics, 2007; Garbarino et al. in J. Risk Uncertain. 42:1–26, 2011), and the average profitability of high-frequency traders in financial markets (Coates et al. in Proc. Natl. Acad. Sci. 106:623–628, 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.

Keywords

HormonesDigit ratio2D:4DRisk behaviorCompetitionCompetitive behaviorAuctionsBiddingEndocrinological economics

JEL classification

D87: NeuroeconomicsD44: AuctionsC91: Laboratory, Individual BehaviorD81: Criteria for Decision-Making under Risk and UncertaintyC92: Laboratory, Group BehaviorC72: Noncooperative Games

Information

Type
Research Article
Information
Experimental Economics , Volume 15 , Issue 3 , September 2012, pp. 510 - 529
Copyright
Copyright © 2011 Economic Science Association

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Footnotes

Electronic Supplementary Material The online version of this article (doi:https://doi.org/10.1007/s10683-011-9311-7) contains supplementary material, which is available to authorized users.

References

Archer, J. (1991). The influence of testosterone on human aggression. British Journal of Psychology, 82, 1–28. 10.1111/j.2044-8295.1991.tb02379.xCrossRefGoogle ScholarPubMed
Apicella, C. L., Dreber, A., Campbell, B., Gray, P. B., Hoffman, M., & Little, A. C. (2008). Testosterone and financial risk preferences. Evolution and Human Behavior, 29, 384–390. 10.1016/j.evolhumbehav.2008.07.001CrossRefGoogle Scholar
Bailey, A. A., & Hurd, P. L. (2005). Finger length ratio (2D:4D) correlates with physical aggression in men but not women. Biological Psychology, 68, 215–222. 10.1016/j.biopsycho.2004.05.001CrossRefGoogle Scholar
Benderlioglu, Z., & Nelson, R. J. (2004). Digit length ratios predict reactive aggression in women, but not in men. Hormones and Behavior, 46, 558–564. 10.1016/j.yhbeh.2004.06.004CrossRefGoogle Scholar
Blau, F., & Kahn, L. (2000). Gender differences in pay. Journal of Economic Perspectives, 14, 75–99. 10.1257/jep.14.4.75CrossRefGoogle Scholar
Brañas Garza, P., & Rustichini, A. (2011). Organizing effects of testosterone and economic behavior: Not just risk taking. University of Minnesota.Google ScholarPubMed
Cameron, C., Gelbach, J., & Miller, D. (2008). Bootstrap-based improvements for inference with clustered errors. Review of Economics and Statistics, 90, 414–427. 10.1162/rest.90.3.414CrossRefGoogle Scholar
Casari, M., Ham, J., & Kagel, J. (2007). Selection bias, demographic effects and ability effects in common value auction experiments. American Economic Review, 97, 1278–1304. 10.1257/aer.97.4.1278CrossRefGoogle Scholar
Case, A., & Paxson, C. (2008). Stature and status: Height, ability, and labor market outcomes. Journal of Political Economy, 116, 499–532. 10.1086/589524CrossRefGoogle ScholarPubMed
Cesarini, D., Dawes, C. T., Johannesson, M., Lichtenstein, P., & Wallace, B. (2009). Genetic variation in preferences for giving and risk taking. The Quarterly Journal of Economics, 124, 809–842. 10.1162/qjec.2009.124.2.809CrossRefGoogle Scholar
Chen, Y., Katuscak, P., & Ozdenoren, E. (2007). Sealed bid auctions with ambiguity: Theory and experiments. Journal of Economic Theory, 136, 513–535. 10.1016/j.jet.2006.09.012CrossRefGoogle Scholar
Chen, Y., & Katuscak, P. Ozdenoren, E. (2009). Why can’t a woman bid more like a man? University of Michigan.CrossRefGoogle Scholar
Coates, J. M., Gurnell, M., & Rustichini, A. (2009). Second-to-fourth digit ratio predict success among high-frequency financial traders. Proceedings of the National Academy of Sciences of the United States of America, 106, 623–628. 10.1073/pnas.0810907106CrossRefGoogle ScholarPubMed
Cox, J. C., Smith, V. L., & Walker, J. M. (1988). Theory and individual behavior in first-price auctions. Journal of Risk and Uncertainty, 1, 61–99. 10.1007/BF00055565CrossRefGoogle Scholar
Dreber, A., & Hoffman, M. (2007). Portfolio selection in utero. Stockholm School of Economics.Google Scholar
Dreber, A., Apicella, C. L., Eisenberg, D. T. A., Garcia, J. R., Zamoree, R. S., Lume, J. K., & Campbell, B. (2009). The 7R polymorphism in the dopamine receptor D 4 gene (DRD4) is associated with financial risk taking in men. Evolution and Human Behavior, 30, 85–92. 10.1016/j.evolhumbehav.2008.11.001CrossRefGoogle Scholar
Filiz, E., & Ozbay, E. (2007). Auctions with anticipated regret: Theory and experiment. American Economic Review, 97, 1407–1418. 10.1257/aer.97.4.1407CrossRefGoogle Scholar
Fischbacher, U. (2007). z-Tree: Zurich toolbox for ready-made economic experiments. Experimental Economics, 10, 171–178. 10.1007/s10683-006-9159-4CrossRefGoogle Scholar
Garbarino, E., Slonim, R., & Sydnor, J. (2011). Digit ratios (2D:4D) as predictors of risky decision making for both sexes. Journal of Risk and Uncertainty, 42, 1–26. 10.1007/s11166-010-9109-6CrossRefGoogle Scholar
Greiner, B. Kremer, K., & Macho, V. (2004). An online recruitment system for economic experiments. Forschung und wissenschaftliches Rechnen 2003. GWDG Bericht 63, Göttingen: Ges. für Wiss. Datenverarbeitung 79–93.Google Scholar
Ham, J., & Kagel, J. (2006). Gender effects in private value auctions. Economics Letters, 92, 375–382. 10.1016/j.econlet.2006.03.024CrossRefGoogle Scholar
Hamermesh, D. S., & Biddle, J. E. (1994). Beauty and labor market. American Economic Review, 84, 1174–1194.Google Scholar
Hönekopp, J., Manning, J. T., & Müller, C. (2006). Digit ratio (2D:4D) and physical fitness in males and females: Evidence for effects of prenatal androgens on sexually selected traits. Hormones and Behavior, 49, 545–549. 10.1016/j.yhbeh.2005.11.006CrossRefGoogle ScholarPubMed
Hönekopp, J., Bartholdt, L., Beier, L., & Liebert, A. (2007). Second to fourth digit length ratio (2D:4D) and adult sex hormone levels: New data and a meta-analytical review. Psychoneuroendocrinology, 32, 313–321. 10.1016/j.psyneuen.2007.01.007CrossRefGoogle Scholar
Kagel, J. H. Kagel, J. H., & Roth, A. E. (1995). Auctions: A survey of experimental research. The handbook of experimental economics, Princeton: Princeton University Press 501–585 Chap. 7.CrossRefGoogle Scholar
Kosfeld, M., Heinrichs, M., Zak, P., Fischbacher, U., & Fehr, E. (2005). Oxytocin increases trust in humans. Nature, 435, 673–676. 10.1038/nature03701CrossRefGoogle ScholarPubMed
Krishna, V. (2002). Auction theory, San Diego: Academic Press.Google Scholar
Loo, J. M. Y., Raylu, N., & Oei, T. P. S. (2008). Gambling among the Chinese: A comprehensive review. Clinical Psychological Review, 28, 1152–1166. 10.1016/j.cpr.2008.04.001CrossRefGoogle ScholarPubMed
Lutchmaya, S., Raggatt, P., Knickmeyer, R., & Manning, J. T. (2004). 2nd to 4th digit ratios, fetal testosterone and estradiol. Early Human Development, 77, 23–28. 10.1016/j.earlhumdev.2003.12.002CrossRefGoogle Scholar
Manning, J. T. (2002). Digit ratio. A pioneer to fertility, behavior and health, New Brunswick: Rutgers University Press.Google Scholar
Manning, J. T., & Fink, B. (2008). Digit ratio (2D:4D), dominance, reproductive success, asymmetry, and sociosexuality in the BBC Internet study. American Journal of Human Biology, 20, 451–461. 10.1002/ajhb.20767CrossRefGoogle ScholarPubMed
Manning, J. T., & Taylor, R. P. (2001). Second to fourth digit ratio and male ability in sport: Implications for sexual selection in humans. Evolution and Human Behavior, 22, 61–69. 10.1016/S1090-5138(00)00063-5CrossRefGoogle ScholarPubMed
Manning, J. T., Scutt, D., Wilson, J., & Lewis-Jones, D. I. (1998). The ratio of 2nd to 4th digit length: A predictor of sperm numbers and concentrations of testosterone, lutenizing hormones and oestrogen. Human Reproduction, 13, 3000–3004. 10.1093/humrep/13.11.3000CrossRefGoogle Scholar
Manning, J. T., Barley, L., Lewis-Jones, I., Walton, J., Trivers, R. L., Thornhill, R., Singh, D., Rhode, P., Bereckzei, T., Henzi, P., Soler, M., & Sved, A. (2002). The 2nd to 4th digit ratio, sexual dimorphism, population differences and reproductive success: Evidence for sexually antagonistic genes. Evolution and Human Behavior, 21, 163–183. 10.1016/S1090-5138(00)00029-5CrossRefGoogle Scholar
Manning, J. T., Henzi, P., & Venkatramana, P. (2003). 2nd to 4th digit ratio: ethnic differences and family size in English, Indian and South African populations. Annals of Human Biology, 30, 579–588. 10.1080/0301446032000112689CrossRefGoogle Scholar
Manning, J. T., Stewart, A., Bundred, P. E., & Trivers, R. L. (2004). Sex and ethnic differences in 2nd to 4th digit ratio of children. Early Human Development, 80, 161–168. 10.1016/j.earlhumdev.2004.06.004CrossRefGoogle ScholarPubMed
Mazur, A., & Booth, A. (1998). Testosterone and dominance in men. Behavioral and Brain Sciences, 21, 353–397. 10.1017/S0140525X98001228CrossRefGoogle ScholarPubMed
McIntyre, M. H., Barrett, E. S., McDermott, R., Johnson, D. D. P., Cowden, J., & Rosen, S. P. (2007). Finger length ratio (2D:4D) and sex differences in aggression during a simulated war game. Personality and Individual Differences, 42, 755–764. 10.1016/j.paid.2006.08.009CrossRefGoogle Scholar
McIntyre, M. H., Chapman, J. F., Lipson, S. F., & Ellison, P. R. (2007). Index-to-ring finger length ratio (2D:4D) predicts levels of salivary estradiol, but not progesterone, over the menstrual cycle. American Journal of Human Biology, 19, 434–436. 10.1002/ajhb.20623CrossRefGoogle Scholar
Millet, K., & Dewitte, S. (2006). Second to fourth digit ratio and cooperative behavior. Biological Psychology, 71, 111–115. 10.1016/j.biopsycho.2005.06.001CrossRefGoogle ScholarPubMed
Morgan, J., & Steiglitz, K. Reis, G. (2003). The spite motive and equilibrium behavior in auctions, contributions to economic analysis & Policy 2, Article 5.CrossRefGoogle Scholar
Paul, S. N., Bernet, S. K., Cherkas, L. F., Andrew, T., & Spector, T. D. (2006). Heritability of the second to fourth digit ratio (2D:4D): A twin study. Twin Research and Human Genetics, 9, 215–219. 10.1375/twin.9.2.215CrossRefGoogle ScholarPubMed
Pearson, M., & Schipper, B. C. (2011). Menstrual cycle and competitive bidding. University of California, Davis.CrossRefGoogle Scholar
Sanchez-Pages, S., & Turiegano, E. (2010). Testosterone, facial symmetry and cooperation in the prisoners’ dilemma. Psychology & Behavior, 99, 355–361.Google ScholarPubMed
Sanders, G., Bereczkei, T., Csatho, A., & Manning, J. T. (2005). The ratio of the 2(nd) ro 4(th) finger length predicts spatial ability in men but not in women. Cortex, 41, 789–795. 10.1016/S0010-9452(08)70297-1CrossRefGoogle Scholar
Sapienza, P., Zingales, L., & Maestripieri, D. (2009). Gender differences in financial risk aversion and career choices are affected by testosterone. Proceedings of the National Academy of Sciences of the United States of America, 106, 15268–15273. 10.1073/pnas.0907352106CrossRefGoogle ScholarPubMed
Schipper, B. (2011a). Sex hormones and competitive bidding. University of California, Davis.Google Scholar
Schipper, B. (2011b). Sex hormones and choice under risk. University of California, Davis.Google Scholar
Van den Bergh, B., & Dewitte, S. (2006). Digit ratio (2D:4D) moderates the impact of sexual cues on men’s decisions in ultimatum games. Proceeding of the Royal Society B, 273, 2091–2095. 10.1098/rspb.2006.3550Google ScholarPubMed
Zak, P., Kurzban, R., & Matzner, W. T. (2005). Oxytocin is associated with human trustworthiness. Hormones and Behavior, 48, 522–527. 10.1016/j.yhbeh.2005.07.009CrossRefGoogle ScholarPubMed
Zak, P., Kurzban, R., Ahmadi, S., Swerdloff, R. S., Park, J., Efremidze, L., Redwine, K., Morgan, K., & Matzner, M. (2009). Testosterone administration decreases generosity in the ultimatum game. PLoS ONE, 4(e8330), 1–7.CrossRefGoogle ScholarPubMed
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