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Fairness in Risky Environments: Theory and Evidence

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  • Vitezslav Babicky
  • Andreas Ortmann
  • Silvester Van Koten

Abstract

Theories of fairness have typically used the assumption of ex-ante known pie size. Pie size, however, is rarely known ex ante. Using three simple allocation problems generally known as dictator, ultimatum and trust games, we explore the influence of ex-ante unknown pie size of varying degrees of risk on individual behavior. We derive theoretical predictions for two of these games using utility functions that capture additively separable constant relative risk aversion and inequity aversion. We test the theoretical predictions experimentally on two different subject pools: students of Czech Technical University and employees of Prague City Hall. We control for the risk attitude of our subjects through a variant of the Holt-Laury assessment instrument. We find statistically significant differences in giving behavior as a function of the degree of risk, and the degree of risk aversion, across individuals. We also find differences across the two subject pools but show that, once we control for various socio-demographic and cognitive characteristics, these differences evaporate. We discuss the policy and methodological implications of the results of our artefactual field experiment, as well as the implications for theories of fairness of reciprocity and their experimental test.

Suggested Citation

  • Vitezslav Babicky & Andreas Ortmann & Silvester Van Koten, 2010. "Fairness in Risky Environments: Theory and Evidence," CERGE-EI Working Papers wp419, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  • Handle: RePEc:cer:papers:wp419
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    Cited by:

    1. Larney, Andrea & Rotella, Amanda & Barclay, Pat, 2019. "Stake size effects in ultimatum game and dictator game offers: A meta-analysis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 151(C), pages 61-72.
    2. Alexander W. Cappelen & James Konow & Erik ?. S?rensen & Bertil Tungodden, 2013. "Just Luck: An Experimental Study of Risk-Taking and Fairness," American Economic Review, American Economic Association, vol. 103(4), pages 1398-1413, June.
    3. Zvi Safra & Sinong Ma & Tigran Melkonyan, 2019. "Is Allocation Affected by the Perception of Others' Irresponsible Behavior and by Ambiguity?," Risk Analysis, John Wiley & Sons, vol. 39(10), pages 2182-2196, October.
    4. Richards, Timothy J. & Liaukonyte, Jura & Streletskaya, Nadia A., 2016. "Personalized pricing and price fairness," International Journal of Industrial Organization, Elsevier, vol. 44(C), pages 138-153.
    5. Georganas, Sotiris & Laliotis, Ioannis & Velias, Alina, 2022. "The best is yet to come: The impact of retirement on prosocial behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 589-615.
    6. Engel, Christoph & Goerg, Sebastian J., 2018. "If the worst comes to the worst: Dictator giving when recipient’s endowments are risky," European Economic Review, Elsevier, vol. 105(C), pages 51-70.
    7. Richards, Timothy & Liaukonyte, Jura & Nadia, Streletskya, 2016. "Personalized Pricing and Price Fairness," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235809, Agricultural and Applied Economics Association.

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    More about this item

    Keywords

    fairness; risk aversion; subject pool effects; economics experiments.;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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