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Evolution, heritable risk and skewness loving

Author

Listed:
  • Heller, Yuval

    (Department of Economics, Bar Ilan University)

  • Robson, Arthur J.

    (Department of Economics, Simon Fraser University)

Abstract

Our understanding of risk preferences can be sharpened by considering their evolutionary basis. The existing literature has focused on two sources of risk: idiosyncratic risk and aggregate risk. We introduce a new source of risk, heritable risk, in which there is a positive correlation between the fitness of a newborn agent and the fitness of her parent. Heritable risk was plausibly common in our evolutionary past and it leads to a strictly higher growth rate than the other sources of risk. We show that the presence of heritable risk in the evolutionary past may explain the tendency of people to exhibit skewness loving today.

Suggested Citation

  • Heller, Yuval & Robson, Arthur J., 2021. "Evolution, heritable risk and skewness loving," Theoretical Economics, Econometric Society, vol. 16(2), May.
  • Handle: RePEc:the:publsh:3949
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    References listed on IDEAS

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    1. Robson, Arthur J., 1996. "A Biological Basis for Expected and Non-expected Utility," Journal of Economic Theory, Elsevier, vol. 68(2), pages 397-424, February.
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    Cited by:

    1. Yuval Heller & Ilan Nehama, 2021. "Evolutionary Foundation for Heterogeneity in Risk Aversion," Papers 2110.11245, arXiv.org, revised Jan 2023.
    2. Heller, Yuval & Nehama, Ilan, 2023. "Evolutionary foundation for heterogeneity in risk aversion," Journal of Economic Theory, Elsevier, vol. 208(C).

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    More about this item

    Keywords

    Evolution of preferences; risk attitude; risk interdependence; long-run growth rate; fertility rate;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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