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Risk attitudes and digit ratio (2D:4D): Evidence from prospect theory

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  • Neyse, Levent
  • Vieider, Ferdinand M.
  • Ring, Patrick
  • Probst, Catharina
  • Kaernbach, Christian
  • Eimeren, Thilo van
  • Schmidt, Ulrich
Abstract
Prenatal androgens have organizational effects on brain and endocrine system development, which may have a partial impact on economic decisions. Numerous studies have investigated the relationship between prenatal testosterone and financial risk taking, yet results remain inconclusive. We suspect that this is due to difficulty in capturing risk preferences with expected utility based tasks. Prospect theory, on the other hand, suggests that risk preferences differ between gains, losses and mixed prospects, as well as for different probability levels. This study investigates the relationship between financial risk taking and 2D:4D, a putative marker of prenatal testosterone exposure, in the framework of prospect theory. We conducted our study with 350 participants of Caucasian and Asian ethnicities. We do not observe any significant relationship between 2D:4D and risk taking in either of these domains and ethnicities.

Suggested Citation

  • Neyse, Levent & Vieider, Ferdinand M. & Ring, Patrick & Probst, Catharina & Kaernbach, Christian & Eimeren, Thilo van & Schmidt, Ulrich, 2020. "Risk attitudes and digit ratio (2D:4D): Evidence from prospect theory," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue 60, pages 29-51.
    • Handle: RePEc:zbw:espost:222433
    DOI: 10.1007/s11166-020-09321-w
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    1. Filippin, Antonio & Crosetto, Paolo, 2014. "A Reconsideration of Gender Differences in Risk Attitudes," IZA Discussion Papers 8184, Institute of Labor Economics (IZA).
    2. WilliamT Harbaugh & Kate Krause & Lise Vesterlund, 2010. "The Fourfold Pattern of Risk Attitudes in Choice and Pricing Tasks," Economic Journal, Royal Economic Society, vol. 120(545), pages 595-611, June.
    3. 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.
    4. repec:dgr:uvatin:20110046 is not listed on IDEAS
    5. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    6. Matthew Pearson & Burkhard Schipper, 2012. "The visible hand: finger ratio (2D:4D) and competitive bidding," Experimental Economics, Springer;Economic Science Association, vol. 15(3), pages 510-529, September.
    7. Simon Gächter & Eric J. Johnson & Andreas Herrmann, 2022. "Individual-level loss aversion in riskless and risky choices," Theory and Decision, Springer, vol. 92(3), pages 599-624, April.
    8. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    9. Pablo Brañas-Garza & Jaromír Kovářík & Levent Neyse, 2013. "Second-to-Fourth Digit Ratio Has a Non-Monotonic Impact on Altruism," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-10, April.
    10. Dhami, Sanjit, 2016. "The Foundations of Behavioral Economic Analysis," OUP Catalogue, Oxford University Press, number 9780198715535.
    11. Mohammed Abdellaoui & Enrico Diecidue & Ayse Öncüler, 2011. "Risk Preferences at Different Time Periods: An Experimental Investigation," Management Science, INFORMS, vol. 57(5), pages 975-987, May.
    12. Arthur J. Robson, 2001. "The Biological Basis of Economic Behavior," Journal of Economic Literature, American Economic Association, vol. 39(1), pages 11-33, March.
    13. Wehrung, Donald A & Lee, Kam-Hon & Tse, David K. & Vertinsky, Ilan B., 1989. "Adjusting Risky Situations: A Theoretical Framework and Empirical Test," Journal of Risk and Uncertainty, Springer, vol. 2(2), pages 189-212, June.
    14. Friedl, Andreas & Neyse, Levent & Schmidt, Ulrich, 2018. "Payment scheme changes and effort Adjustment: The role of 2D:4D digit ratio," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 72(C), pages 86-94.
    15. 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.
    16. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    17. Diego Aycinena & Rimvydas Baltaduonis & Lucas Rentschler, 2014. "Risk Preferences and Prenatal Exposure to Sex Hormones for Ladinos," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-10, August.
    18. Buser, Thomas, 2012. "Digit ratios, the menstrual cycle and social preferences," Games and Economic Behavior, Elsevier, vol. 76(2), pages 457-470.
    19. Kahneman, Daniel & Knetsch, Jack L & Thaler, Richard H, 1990. "Experimental Tests of the Endowment Effect and the Coase Theorem," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1325-1348, December.
    20. Ferdinand M. Vieider, 2018. "Violence and Risk Preference: Experimental Evidence from Afghanistan: Comment," American Economic Review, American Economic Association, vol. 108(8), pages 2366-2382, August.
    21. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 631-645.
    22. Neyse, Levent & Bosworth, Steven & Ring, Patrick & Schmidt, Ulrich, 2016. "Overconfidence, Incentives and Digit Ratio," Open Access Publications from Kiel Institute for the World Economy 130145, Kiel Institute for the World Economy (IfW Kiel).
    23. Antonio Filippin, 2022. "Gender differences in risk attitudes," IZA World of Labor, Institute of Labor Economics (IZA), pages 100-100, October.
    24. Matthew Rabin, 2000. "Risk Aversion and Expected-Utility Theory: A Calibration Theorem," Econometrica, Econometric Society, vol. 68(5), pages 1281-1292, September.
    25. Schipper, Burkhard C., 2023. "Sex hormones and choice under risk," Journal of Economic Psychology, Elsevier, vol. 96(C).
    26. 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.
    27. M. Keith Chen & Venkat Lakshminarayanan & Laurie R. Santos, 2006. "How Basic Are Behavioral Biases? Evidence from Capuchin Monkey Trading Behavior," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 517-537, June.
    28. Cohen, Michele & Jaffray, Jean-Yves & Said, Tanios, 1987. "Experimental comparison of individual behavior under risk and under uncertainty for gains and for losses," Organizational Behavior and Human Decision Processes, Elsevier, vol. 39(1), pages 1-22, February.
    29. Elle Parslow & Eva Ranehill & Niklas Zethraeus & Liselott Blomberg & Bo Schoultz & Angelica Lindén Hirschberg & Magnus Johannesson & Anna Dreber, 2019. "The digit ratio (2D:4D) and economic preferences: no robust associations in a sample of 330 women," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(2), pages 149-169, December.
    30. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
    31. Olivier l'Haridon & Ferdinand M. Vieider, 2019. "All over the map: A worldwide comparison of risk preferences," Quantitative Economics, Econometric Society, vol. 10(1), pages 185-215, January.
    32. Werner Bönte & Vivien D. Procher & Diemo Urbig, 2016. "Biology and Selection into Entrepreneurship—The Relevance of Prenatal Testosterone Exposure," Entrepreneurship Theory and Practice, , vol. 40(5), pages 1121-1148, September.
    33. John C. Hershey & Paul J. H. Schoemaker, 1985. "Probability Versus Certainty Equivalence Methods in Utility Measurement: Are they Equivalent?," Management Science, INFORMS, vol. 31(10), pages 1213-1231, October.
    34. Chris Starmer, 2000. "Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk," Journal of Economic Literature, American Economic Association, vol. 38(2), pages 332-382, June.
    35. Ferdinand M. Vieider & Peter Martinsson & Pham Khanh Nam & Nghi Truong, 2019. "Risk preferences and development revisited," Theory and Decision, Springer, vol. 86(1), pages 1-21, February.
    36. Ferdinand M. Vieider & Abebe Beyene & Randall Bluffstone & Sahan Dissanayake & Zenebe Gebreegziabher & Peter Martinsson & Alemu Mekonnen, 2018. "Measuring Risk Preferences in Rural Ethiopia," Economic Development and Cultural Change, University of Chicago Press, vol. 66(3), pages 417-446.
    37. George Wu & Richard Gonzalez, 1996. "Curvature of the Probability Weighting Function," Management Science, INFORMS, vol. 42(12), pages 1676-1690, December.
    38. 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.
    39. repec:wly:soecon:v:82:1:y:2015:p:235-256 is not listed on IDEAS
    40. Lima de Miranda, Katharina & Neyse, Levent & Schmidt, Ulrich, 2018. "Risk Preferences and Predictions about Others: No Association with 2D:4D Ratio," Open Access Publications from Kiel Institute for the World Economy 230949, Kiel Institute for the World Economy (IfW Kiel).
    41. Antonio Filippin & Paolo Crosetto, 2016. "A Reconsideration of Gender Differences in Risk Attitudes," Management Science, INFORMS, vol. 62(11), pages 3138-3160, November.
    42. Kobberling, Veronika & Wakker, Peter P., 2005. "An index of loss aversion," Journal of Economic Theory, Elsevier, vol. 122(1), pages 119-131, May.
    43. Guiso, Luigi & Rustichini, Aldo, 2018. "What drives women out of management? The joint role of testosterone and culture," European Economic Review, Elsevier, vol. 109(C), pages 221-237.
    44. Bock, Olaf & Baetge, Ingmar & Nicklisch, Andreas, 2014. "hroot: Hamburg Registration and Organization Online Tool," European Economic Review, Elsevier, vol. 71(C), pages 117-120.
    45. Ferdinand M. Vieider & Mathieu Lefebvre & Ranoua Bouchouicha & Thorsten Chmura & Rustamdjan Hakimov & Michal Krawczyk & Peter Martinsson, 2015. "Common Components Of Risk And Uncertainty Attitudes Across Contexts And Domains: Evidence From 30 Countries," Journal of the European Economic Association, European Economic Association, vol. 13(3), pages 421-452, June.
    46. Ganzach, Yoav & Karsahi, Nili, 1995. "Message framing and buying behavior: A field experiment," Journal of Business Research, Elsevier, vol. 32(1), pages 11-17, January.
    47. Pablo Brañas-Garza & Aldo Rustichini, 2011. "Organizing Effects of Testosterone and Economic Behavior: Not Just Risk Taking," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-8, December.
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    Cited by:

    1. Elle Parslow & Eva Ranehill & Niklas Zethraeus & Liselott Blomberg & Bo Schoultz & Angelica Lindén Hirschberg & Magnus Johannesson & Anna Dreber, 2019. "The digit ratio (2D:4D) and economic preferences: no robust associations in a sample of 330 women," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(2), pages 149-169, December.
    2. Fossen, Frank M. & Neyse, Levent & Johannesson, Magnus & Dreber Almenberg, Anna, 2020. "2D:4D and Self-Employment Using SOEP Data: A Replication Study," IZA Discussion Papers 13180, Institute of Labor Economics (IZA).
    3. Fossen, Frank M. & Neyse, Levent & Johannesson, Magnus & Dreber, Anna, 2022. "2D:4D and Self-Employment: A Preregistered Replication Study in a Large General Population Sample," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 46(1), pages 21-43.
    4. Schipper, Burkhard C., 2023. "Sex hormones and choice under risk," Journal of Economic Psychology, Elsevier, vol. 96(C).
    5. Neyse, Levent & Johannesson, Magnus & Dreber, Anna, 2021. "2D:4D does not predict economic preferences: Evidence from a large, representative sample," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 185, pages 390-401.
    6. Nicolas Eber & Patrick Roger & Tristan Roger, 2024. "Finance and intelligence: An overview of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 503-554, April.
    7. Finley, Brian & Kalwij, Adriaan & Kapteyn, Arie, 2022. "Born to be wild: Second-to-fourth digit length ratio and risk preferences," Economics & Human Biology, Elsevier, vol. 47(C).

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    More about this item

    Keywords

    Prospect theory; Prenatal testosterone; Digit ratiio; Risk;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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