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Quantifying loss aversion: Evidence from a UK population survey

Author

Listed:
  • David Blake

    (City University of London)

  • Edmund Cannon

    (University of Bristol)

  • Douglas Wright

    (City University of London)

Abstract

We quantify differences in attitudes to loss from individuals with different demographic, personal and socio-economic characteristics. Our data are based on responses from an online survey of a representative sample of over 4000 UK residents and allow us to produce the most comprehensive analysis of the heterogeneity of loss aversion measures to date. Using the canonical model proposed by Tversky and Kahneman (1992), we show that responses for the population as a whole differ substantially from those typically provided by students (who form the basis of many existing studies of loss aversion). The average aversion to a loss of £500 relative to a gain of the same amount is 2.41, but loss aversion correlates significantly with characteristics such as gender, age, education, financial knowledge, social class, employment status, management responsibility, income, savings and home ownership. Other related factors include marital status, number of children, ease of savings, rainy day fund, personality type, emotional state, newspaper and political party. However, once we condition on all the profiling characteristics of the respondents, some factors, in particular gender, cease to be significant, suggesting that gender differences in risk and loss attitudes might be due to other factors, such as income differences.

Suggested Citation

  • David Blake & Edmund Cannon & Douglas Wright, 2021. "Quantifying loss aversion: Evidence from a UK population survey," Journal of Risk and Uncertainty, Springer, vol. 63(1), pages 27-57, August.
  • Handle: RePEc:kap:jrisku:v:63:y:2021:i:1:d:10.1007_s11166-021-09356-7
    DOI: 10.1007/s11166-021-09356-7
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    Cited by:

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    2. Li, Yadong & Guan, Zhenzhong & Ren, Jianbiao, 2023. "Channel coordination under retailer's (sub)conscious preferences of loss aversion and fairness," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    3. Peter P. Wakker, 2023. "The correct formula of 1979 prospect theory for multiple outcomes," Theory and Decision, Springer, vol. 94(2), pages 183-187, February.

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    More about this item

    Keywords

    Loss aversion; Gender effects; Expected utility; Risk attitudes; Survey data;
    All these keywords.

    JEL classification:

    • G40 - Financial Economics - - Behavioral Finance - - - General
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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