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The arguments of utility: Preference reversals in expected utility of income models

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  • Luke Lindsay

Abstract

There is a debate in the literature about the arguments of utility in expected utility theory. Some implicitly assume utility is defined on final wealth whereas others argue it may be defined on initial wealth and income separately. I argue that making income and wealth separate arguments of utility has important implications that may not be widely recognized. A framework is presented that allows the unified treatment of expected utility models and anomalies. I show that expected utility of income models can predict framing induced preference reversals, a willingness to pay-willingness to accept gap for lotteries, and choice-value preference reversals. The main contribution is a theorem. It is proved that for all utility functions where initial wealth and income enter separately, either there will be preference reversals or preferences can be represented by a utility function defined on final wealth alone. Copyright Springer Science+Business Media New York 2013

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  • Luke Lindsay, 2013. "The arguments of utility: Preference reversals in expected utility of income models," Journal of Risk and Uncertainty, Springer, vol. 46(2), pages 175-189, April.
  • Handle: RePEc:kap:jrisku:v:46:y:2013:i:2:p:175-189
    DOI: 10.1007/s11166-013-9162-z
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    Cited by:

    1. Carlos Alós-Ferrer & Ðura-Georg Granić & Johannes Kern & Alexander K. Wagner, 2016. "Preference reversals: Time and again," Journal of Risk and Uncertainty, Springer, vol. 52(1), pages 65-97, February.
    2. Lindsay, Luke, 2019. "Adaptive loss aversion and market experience," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 43-61.
    3. Han Bleichrodt & Jason N. Doctor & Yu Gao & Chen Li & Daniella Meeker & Peter P. Wakker, 2019. "Resolving Rabin’s paradox," Journal of Risk and Uncertainty, Springer, vol. 59(3), pages 239-260, December.

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    More about this item

    Keywords

    Expected utility theory; Risk aversion; Preference reversals; C90; D81;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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