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A further exploration of the uncertainty effect

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  • Yitong Wang
  • Tianjun Feng
  • L. Keller

Abstract

Individual valuation of a binary lottery at values less than the lottery’s worst outcome has been designated as the “uncertainty effect”. Our paper aims to explore the boundary conditions of the uncertainty effect by investigating a plausible underlying process and proposing two possible methods. First, we examine how providing an exogenous evaluation opportunity prior to judging the value of the lottery affects individuals’ judgments, and find that first valuing the worst outcome and then the lottery eliminates the uncertainty effect. Second, we explore whether introducing additional cognitive load dampens how far decision makers correct their initial evaluations, and find that additional cognitive load is able to eliminate the uncertainty effect. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Yitong Wang & Tianjun Feng & L. Keller, 2013. "A further exploration of the uncertainty effect," Journal of Risk and Uncertainty, Springer, vol. 47(3), pages 291-310, December.
    • Handle: RePEc:kap:jrisku:v:47:y:2013:i:3:p:291-310
    DOI: 10.1007/s11166-013-9180-x
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    Cited by:

    1. Heiko Karle & Heiner Schumacher & Rune Vølund, 2020. "Consumer search and the uncertainty effect," Working Papers of Department of Economics, Leuven 657766, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    2. Robert Mislavsky & Uri Simonsohn, 2018. "When Risk Is Weird: Unexplained Transaction Features Lower Valuations," Management Science, INFORMS, vol. 64(11), pages 5395-5404, November.
    3. Hangjian Wu & Emmanouil Mentzakis & Marije Schaafsma, 2022. "Exploring Different Assumptions about Outcome-Related Risk Perceptions in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 531-572, March.
    4. Carlos Alós-Ferrer & Alexander Jaudas & Alexander Ritschel, 2021. "Effortful Bayesian updating: A pupil-dilation study," Journal of Risk and Uncertainty, Springer, vol. 63(1), pages 81-102, August.
    5. L. Robin Keller & Yitong Wang, 2017. "Information Presentation in Decision and Risk Analysis: Answered, Partly Answered, and Unanswered Questions," Risk Analysis, John Wiley & Sons, vol. 37(6), pages 1132-1145, June.

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    More about this item

    Keywords

    Boundary conditions; Uncertainty effect; Decision under uncertainty; D81; C91; D03;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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