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Risk Preferences and Prenatal Exposure to Sex Hormones for Ladinos

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  • 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
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    References listed on IDEAS

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    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. Schipper, Burkhard C., 2023. "Sex hormones and choice under risk," Journal of Economic Psychology, Elsevier, vol. 96(C).
    7. 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.
    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.
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    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.

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