IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01533535.html

Restricted increases in risk aversion and their application

Author

Listed:
  • Louis Eeckhoudt

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Liqun Liu
  • Jack Meyer

Abstract

This paper proposes additional definitions of what it means for one decision maker to be more risk averse than another. These definitions build on the strongly more risk averse definition presented by Ross (Econometrica 49:621–663, 1981). Using examples from portfolio choice, self-protection and insurance demand, it is shown that these definitions of increased risk aversion facilitate clear-cut comparative statics analysis in decision models where traditional concepts of increased risk aversion are insufficient.

Suggested Citation

  • Louis Eeckhoudt & Liqun Liu & Jack Meyer, 2016. "Restricted increases in risk aversion and their application," Post-Print hal-01533535, HAL.
    • Handle: RePEc:hal:journl:hal-01533535
    DOI: 10.1007/s00199-016-0978-z
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aurélien Baillon & Olivier L’Haridon, 2021. "Discrete Arrow–Pratt indexes for risk and uncertainty," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(4), pages 1375-1393, November.
    2. Dennis W. Jansen & Liqun Liu, 2022. "Portfolio choice in the model of expected utility with a safety-first component," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 45(1), pages 187-207, June.
    3. Wang, Jianli & Wang, Hongxia & Yick, Ho Yin, 2019. "How do changes in risk and risk aversion affect self-protection with Selden/Kreps–Porteus preferences?," Insurance: Mathematics and Economics, Elsevier, vol. 88(C), pages 1-6.
    4. Octave Jokung-Nguena & Sovan Mitra, 2019. "Asset Prices and Changes in Risk within a Bivariate Model," Post-Print hal-03699128, HAL.
    5. Lu Li & Richard Peter, 2021. "Should we do more when we know less? The effect of technology risk on optimal effort," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 695-725, September.
    6. Liqun Liu & Jack Meyer & Andrew J. Rettenmaier & Thomas R. Saving, 2018. "Risk and risk aversion effects in contests with contingent payments," Journal of Risk and Uncertainty, Springer, vol. 56(3), pages 289-305, June.
    7. Octave Jokung & Sovan Mitra, 2019. "Asset Prices and Changes in Risk within a Bivariate Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(1), pages 47-60, March.
    8. Peter, Richard & Ying, Jie, 2020. "Do you trust your insurer? Ambiguity about contract nonperformance and optimal insurance demand," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 938-954.
    9. Wang, Hongxia & Wang, Jianli & Yin, Yick Ho, 2018. "Willingness to pay for stochastic improvements of future risk under different risk aversion," Economics Letters, Elsevier, vol. 168(C), pages 52-55.
    10. Kalwij, Adriaan, 2023. "Risk preferences, preventive behaviour, and the probability of a loss: Empirical evidence from the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 334(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    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:hal:journl:hal-01533535. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.