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Probability weighting and the ‘level’ and ‘spacing’ of outcomes: An experimental study over losses

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  • Nathalie Etchart-Vincent

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Abstract

The main goal of the experimental study described in this paper is to investigate the sensitivity of probability weighting to the payoff structure of the gambling situation--namely the level of consequences at stake and the spacing between them--in the loss domain. For that purpose, three kinds of gambles are introduced: two kinds of homogeneous gambles (involving either small or large losses), and heterogeneous gambles involving both large and small losses. The findings suggest that at least for moderate/high probability of loss do both 'level' and 'spacing' effects reach significance, with the impact of 'spacing' being both opposite to and stronger than the impact of 'level'. As compared to small-loss gambles, large-loss gambles appear to enhance probabilistic optimism, while heterogeneous gambles tend to increase pessimism.
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  • Nathalie Etchart-Vincent, 2009. "Probability weighting and the ‘level’ and ‘spacing’ of outcomes: An experimental study over losses," Journal of Risk and Uncertainty, Springer, vol. 39(1), pages 45-63, August.
  • Handle: RePEc:kap:jrisku:v:39:y:2009:i:1:p:45-63
    DOI: 10.1007/s11166-009-9066-0
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    Cited by:

    1. Nathalie Etchart-Vincent & Olivier l’Haridon, 2011. "Monetary incentives in the loss domain and behavior toward risk: An experimental comparison of three reward schemes including real losses," Journal of Risk and Uncertainty, Springer, vol. 42(1), pages 61-83, February.
    2. W. Botzen & J. Aerts & J. Bergh, 2013. "Individual preferences for reducing flood risk to near zero through elevation," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(2), pages 229-244, February.
    3. W. Botzen & Jeroen Bergh, 2014. "Specifications of Social Welfare in Economic Studies of Climate Policy: Overview of Criteria and Related Policy Insights," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 1-33, May.
    4. Krawczyk, Michał Wiktor, 2015. "Probability weighting in different domains: The role of affect, fungibility, and stakes," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 1-15.
    5. Olivier Chanel & Graciela Chichilnisky, 2009. "The influence of fear in decisions: Experimental evidence," Journal of Risk and Uncertainty, Springer, vol. 39(3), pages 271-298, December.
    6. Nathalie Etchart-Vincent, 2009. "The shape of the utility function under risk in the loss domain and the "ruinous losses" hypothesis: some experimental results," Economics Bulletin, AccessEcon, vol. 29(2), pages 1393-1402.
    7. Narges Hajimoladarvish, 2017. "Very Low Probabilities in the Loss Domain," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 42(1), pages 41-58, March.

    More about this item

    Keywords

    Individual decision making under risk; Prospect theory; Losses; Probability weighting; C91; D81;

    JEL classification:

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

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