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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

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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    3. 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.
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    7. Francois R. Velde, 2018. "Lottery Loans in the Eighteenth Century," Working Paper Series WP-2018-7, Federal Reserve Bank of Chicago.
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    9. 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.
    10. Narges Hajimoladarvish, 2017. "Very Low Probabilities in the Loss Domain," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 42(1), pages 41-58, March.
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    More about this item

    Keywords

    Individual decision making under risk; Prospect theory; Losses; Probability weighting; C91; D81;
    All these keywords.

    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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