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Temporal Risk: Utility vs. Probability Weighting

Author

Listed:
  • Mohammed Abdellaoui

    (Department of Economics and Decision Sciences, HEC Paris and CNRS, 78351 Jouy en Josas, France)

  • Enrico Diecidue

    (Department of Decision Sciences, INSEAD, 77305 Fontainebleau Cedex, France)

  • Emmanuel Kemel

    (Department of Economics and Decision Sciences, HEC Paris and CNRS, 78351 Jouy en Josas, France)

  • Ayse Onculer

    (Department of Marketing, ESSEC Business School, 92500 Cergy, France)

Abstract

This paper reports two experiments in which attitudes toward temporal risk resolution is elicited from choices between two-outcome lotteries that pay out at some future fixed date and can be resolved either now or later. We show that matching probabilities provides a simple method to measure attitudes toward temporal resolution—via the utility scale—under the recursive expected utility of Kreps and Porteus. We also analyze our data using a general recursive model that can reveal attitudes toward temporal risk resolution through the utility scale and/or the probability weighting scale. In terms of goodness of fit, as well as of prediction accuracy, our results point to a better performance of the probability weighting approach. More specifically, we show that individuals become less sensitive and more pessimistic with respect to winning probabilities when lotteries are resolved later rather than now.

Suggested Citation

  • Mohammed Abdellaoui & Enrico Diecidue & Emmanuel Kemel & Ayse Onculer, 2022. "Temporal Risk: Utility vs. Probability Weighting," Management Science, INFORMS, vol. 68(7), pages 5162-5186, July.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:7:p:5162-5186
    DOI: 10.1287/mnsc.2021.4124
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    References listed on IDEAS

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    1. Emmanuel Kemel & Corina Paraschiv, 2023. "Risking the future? Measuring risk attitudes towards delayed consequences," Post-Print hal-04385738, HAL.

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