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Do risk and time preferences have biological roots?

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  • Drichoutis, Andreas
  • Nayga, Rodolfo

Abstract

We revisit the claims about the biological underpinnings of economic behavior by specifically exploring if observed gender differences in risk/time preferences can be explained by natural fluctuations in progesterone/estradiol levels during the menstrual cycle and by prenatal exposure to testosterone levels. Results suggest that natural fluctuations in progesterone levels have a direct effect on discount rates and that estradiol/progesterone levels can indirectly affect time preferences by changing the curvature of the utility function. Using measured D2:D4 digit ratio, results imply that subjects with low digit ratio exhibit higher discount rates and risk loving preferences.

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  • Drichoutis, Andreas & Nayga, Rodolfo, 2012. "Do risk and time preferences have biological roots?," MPRA Paper 37320, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:37320
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    Cited by:

    1. Schipper, Burkhard C., 2023. "Sex hormones and choice under risk," Journal of Economic Psychology, Elsevier, vol. 96(C).
    2. repec:dav:journl:y:2019:v:8:i:10:p:282 is not listed on IDEAS
    3. 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).
    4. 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.
    5. Pablo Brañas-Garza & Jaromír Kovárík, 2013. "Digit Ratios and Social Preferences: A Comment on Buser (2012)," Working Papers 13-31, Chapman University, Economic Science Institute.
    6. Jing Hou & Linhai Wu & Bo Hou, 2020. "Risk Attitude, Contract Arrangements and Enforcement in Food Safety Governance: A China’s Agri-Food Supply Chain Scenario," IJERPH, MDPI, vol. 17(8), pages 1-16, April.

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    More about this item

    Keywords

    discount rates; risk aversion; lab experiment; menstrual cycle; D2:D4 ratio; hormones; estradiol; progesterone; testosterone;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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