IDEAS home Printed from https://ideas.repec.org/a/spr/jesaex/v5y2019i2d10.1007_s40881-019-00076-y.html
   My bibliography  Save this article

The digit ratio (2D:4D) and economic preferences: no robust associations in a sample of 330 women

Author

Listed:
  • Elle Parslow

    (Stockholm School of Economics)

  • Eva Ranehill

    (University of Gothenburg)

  • Niklas Zethraeus

    (Karolinska Institutet)

  • Liselott Blomberg

    (Karolinska Institutet)

  • Bo Schoultz

    (Karolinska Institutet)

  • Angelica Lindén Hirschberg

    (Karolinska Institutet)

  • Magnus Johannesson

    (Stockholm School of Economics)

  • Anna Dreber

    (Stockholm School of Economics
    University of Innsbruck)

Abstract

Many studies report on the association between 2D:4D, a putative marker for prenatal testosterone exposure, and economic preferences. However, most of these studies have limited sample sizes and test multiple hypotheses (without preregistration). In this study we mainly replicate the common specifications found in the literature for the association between the 2D:4D ratio and risk taking, the willingness to compete, and dictator game giving separately. In a sample of 330 women we find no robust associations between any of these economic preferences and 2D:4D. We find no evidence of a statistically significant relation for 16 of the 18 total regressions we run. The two regression specifications which are statistically significant have not previously been reported and the associations are not in the expected direction, and therefore they are unlikely to represent a real effect.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:jesaex:v:5:y:2019:i:2:d:10.1007_s40881-019-00076-y
    DOI: 10.1007/s40881-019-00076-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40881-019-00076-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40881-019-00076-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Uri Gneezy & Kenneth L. Leonard & John A. List, 2009. "Gender Differences in Competition: Evidence From a Matrilineal and a Patriarchal Society," Econometrica, Econometric Society, vol. 77(5), pages 1637-1664, September.
    2. repec:dgr:uvatin:20110046 is not listed on IDEAS
    3. Aurelie Dariel & Curtis Kephart & Nikos Nikiforakis & Christina Zenker, 2017. "Emirati women do not shy away from competition: evidence from a patriarchal society in transition," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 3(2), pages 121-136, December.
    4. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    5. 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.
    6. 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.
    7. Pablo Brañas‐Garza & Matteo M. Galizzi & Jeroen Nieboer, 2018. "Experimental And Self‐Reported Measures Of Risk Taking And Digit Ratio (2d:4d): Evidence From A Large, Systematic Study," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(3), pages 1131-1157, August.
    8. 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.
    9. Levent Neyse & Ferdinand M. Vieider & Patrick Ring & Catharina Probst & Christian Kaernbach & Thilo Eimeren & Ulrich Schmidt, 2020. "Risk attitudes and digit ratio (2D:4D): Evidence from prospect theory," Journal of Risk and Uncertainty, Springer, vol. 60(1), pages 29-51, February.
    10. Boschini, Anne & Dreber, Anna & von Essen, Emma & Muren, Astri & Ranehill, Eva, 2018. "Gender, risk preference and willingness to compete in a random sample of the Swedish population," Working Papers in Economics 740, University of Gothenburg, Department of Economics.
    11. Schipper, Burkhard C., 2023. "Sex hormones and choice under risk," Journal of Economic Psychology, Elsevier, vol. 96(C).
    12. Burkhard Schipper, 2012. "Sex Hormones and Choice under Risk," Working Papers 127, University of California, Davis, Department of Economics.
    13. 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.
    14. 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.
    15. Buser, Thomas, 2012. "Digit ratios, the menstrual cycle and social preferences," Games and Economic Behavior, Elsevier, vol. 76(2), pages 457-470.
    16. 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).
    17. repec:wly:soecon:v:82:1:y:2015:p:235-256 is not listed on IDEAS
    18. 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).
    19. John M Coates & Lionel Page, 2009. "A Note on Trader Sharpe Ratios," PLOS ONE, Public Library of Science, vol. 4(11), pages 1-5, November.
    20. Julie A. Nelson, 2015. "Are Women Really More Risk-Averse Than Men? A Re-Analysis Of The Literature Using Expanded Methods," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 566-585, July.
    21. 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.
    22. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    23. Charness, Gary & Gneezy, Uri, 2012. "Strong Evidence for Gender Differences in Risk Taking," Journal of Economic Behavior & Organization, Elsevier, vol. 83(1), pages 50-58.
    24. 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.
    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. 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.
    2. Neyse, Levent & Fossen, Frank M. & Johannesson, Magnus & Dreber, Anna, 2023. "Cognitive reflection and 2D:4D: Evidence from a large population sample," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 288-307.
    3. 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).
    4. Schipper, Burkhard C., 2023. "Sex hormones and choice under risk," Journal of Economic Psychology, Elsevier, vol. 96(C).
    5. Eibich, Peter & Kanabar, Ricky & Plum, Alexander & Schmied, Julian, 2022. "In and out of unemployment—Labour market transitions and the role of testosterone," Economics & Human Biology, Elsevier, vol. 46(C).
    6. Cassar, Alessandra & Zhang, Y. Jane, 2022. "The competitive woman: Evolutionary insights and cross-cultural evidence into finding the Femina Economica," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 447-471.
    7. 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.
    8. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Neyse, Levent & Johannesson, Magnus & Dreber, Anna, 2021. "2D:4D does not predict economic preferences: Evidence from a large, representative sample," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 390-401.
    2. Brañas-Garza, Pablo & Chowdhury, Subhasish M. & Espín, Antonio M. & Nieboer, Jeroen, 2023. "‘Born this Way’? Prenatal exposure to testosterone may determine behavior in competition and conflict," Journal of Economic Psychology, Elsevier, vol. 96(C).
    3. Schipper, Burkhard C., 2023. "Sex hormones and choice under risk," Journal of Economic Psychology, Elsevier, vol. 96(C).
    4. 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.
    5. 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).
    6. 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).
    7. 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.
    8. Andreas C. Drichoutis & Rodolfo M. Nayga, 2015. "Do risk and time preferences have biological roots?," Southern Economic Journal, John Wiley & Sons, vol. 82(1), pages 235-256, July.
    9. Brañas-Garza, Pablo & Espín, Antonio M. & Garcia, Teresa & Kovářík, Jaromír, 2018. "Digit ratio (2D:4D) predicts pro-social behavior in economic games only for unsatisfied individuals," MPRA Paper 86166, University Library of Munich, Germany.
    10. Filippin, Antonio & Crosetto, Paolo, 2014. "A Reconsideration of Gender Differences in Risk Attitudes," IZA Discussion Papers 8184, Institute of Labor Economics (IZA).
    11. 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.
    12. 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.
    13. Cassar, Alessandra & Zhang, Y. Jane, 2022. "The competitive woman: Evolutionary insights and cross-cultural evidence into finding the Femina Economica," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 447-471.
    14. 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.
    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. Anwesha Bandyopadhyay & Lutfunnahar Begum & Philip J. Grossman, 2021. "Gender differences in the stability of risk attitudes," Journal of Risk and Uncertainty, Springer, vol. 63(2), pages 169-201, October.
    17. Candelo, Natalia & Eckel, Catherine, 2018. "The 2D:4D ratio does not always correlate with economic behavior: A field experiment with African-Americans," Economics & Human Biology, Elsevier, vol. 30(C), pages 172-181.
    18. Anna Dreber & Emma Essen & Eva Ranehill, 2014. "Gender and competition in adolescence: task matters," Experimental Economics, Springer;Economic Science Association, vol. 17(1), pages 154-172, March.
    19. Pablo Brañas‐Garza & Matteo M. Galizzi & Jeroen Nieboer, 2018. "Experimental And Self‐Reported Measures Of Risk Taking And Digit Ratio (2d:4d): Evidence From A Large, Systematic Study," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(3), pages 1131-1157, August.
    20. Pearson, Matthew & Schipper, Burkhard C., 2013. "Menstrual cycle and competitive bidding," Games and Economic Behavior, Elsevier, vol. 78(C), pages 1-20.

    More about this item

    Keywords

    2D:4D; Economic preferences; Experiment; Testosterone;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

    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:spr:jesaex:v:5:y:2019:i:2:d:10.1007_s40881-019-00076-y. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.