IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0103332.html
   My bibliography  Save this article

Risk Preferences and Prenatal Exposure to Sex Hormones for Ladinos

Author

Listed:
  • Diego Aycinena
  • Rimvydas Baltaduonis
  • Lucas Rentschler

Abstract

Risk preferences drive much of human decision making including investment, career and health choices and many more. Thus, understanding the determinants of risk preferences refines our understanding of choice in a broad array of environments. We assess the relationship between risk preferences, prenatal exposure to sex hormones and gender for a sample of Ladinos, which is an ethnic group comprising 62.86% of the population of Guatemala. Prenatal exposure to sex hormones has organizational effects on brain development, and has been shown to partially explain risk preferences for Caucasians. We measure prenatal exposure to sex hormones using the ratio of the length of the index finger to the length of the ring finger (2D:4D), which is negatively (positively) correlated with prenatal exposure to testosterone (estrogen). We find that Ladino males are less risk averse than Ladino females, and that Ladino males have lower 2D:4D ratios than Ladino females on both hands. We find that the 2D:4D ratio does not explain risk preferences for Ladinos. This is true for both genders, and both hands. Our results highlight the importance of exploring the behavioral significance of 2D:4D in non-Caucasian racial groups.

Suggested Citation

  • 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.
    • Handle: RePEc:plo:pone00:0103332
    DOI: 10.1371/journal.pone.0103332
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0103332
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0103332&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0103332?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
    ---><---

    References listed on IDEAS

    as
    1. Eckel, Catherine C. & Grossman, Philip J., 2008. "Differences in the Economic Decisions of Men and Women: 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 57, pages 509-519, Elsevier.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Catherine C. Eckel & Philip J. Grossman, 2008. "Forecasting Risk Attitudes: An Experimental Study Using Actual and Forecast Gamble Choices," Monash Economics Working Papers archive-01, Monash University, Department of Economics.
    7. Schipper, Burkhard C., 2023. "Sex hormones and choice under risk," Journal of Economic Psychology, Elsevier, vol. 96(C).
    8. 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.
    9. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    10. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Schipper, Burkhard C., 2023. "Sex hormones and choice under risk," Journal of Economic Psychology, Elsevier, vol. 96(C).
    7. 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).
    8. 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.
    9. 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.
    10. Thomas Meissner & Xavier Gassmann & Corinne Faure & Joachim Schleich, 2023. "Individual characteristics associated with risk and time preferences: A multi country representative survey," Journal of Risk and Uncertainty, Springer, vol. 66(1), pages 77-107, February.
    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.

    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. Schipper, Burkhard C., 2023. "Sex hormones and choice under risk," Journal of Economic Psychology, Elsevier, vol. 96(C).
    2. Burkhard Schipper, 2012. "Sex Hormones and Choice under Risk," Working Papers 127, University of California, Davis, Department of Economics.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. Burkhard C. Schipper, 2015. "Sex Hormones and Competitive Bidding," Management Science, INFORMS, vol. 61(2), pages 249-266, February.
    8. Chaudhuri, Ananish & Cruickshank, Amy & Sbai, Erwann, 2015. "Gender differences in personnel management: Some experimental evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 58(C), pages 20-32.
    9. Pearson, Matthew & Schipper, Burkhard C., 2013. "Menstrual cycle and competitive bidding," Games and Economic Behavior, Elsevier, vol. 78(C), pages 1-20.
    10. Filippin, Antonio & Crosetto, Paolo, 2014. "A Reconsideration of Gender Differences in Risk Attitudes," IZA Discussion Papers 8184, Institute of Labor Economics (IZA).
    11. 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.
    12. Beaurain, Guillaume & Masclet, David, 2016. "Does affirmative action reduce gender discrimination and enhance efficiency? New experimental evidence," European Economic Review, Elsevier, vol. 90(C), pages 350-362.
    13. 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.
    14. Yinjunjie Zhang & Zhicheng Xu & Marco A Palma, 2019. "Conveniently dependent or naively overconfident? An experimental study on the reaction to external help," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-18, May.
    15. Burkhard C. Schipper, 2015. "Sex Hormones and Competitive Bidding," Management Science, INFORMS, vol. 61(2), pages 249-266, February.
    16. 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).
    17. 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.
    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. 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.
    20. Becchetti, Leonardo & Degli Antoni, Giacomo & Ottone, Stefania & Solferino, Nazaria, 2013. "Allocation criteria under task performance: The gendered preference for protection," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 45(C), pages 96-111.

    More about this item

    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:plo:pone00:0103332. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.