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Process fairness, outcome fairness, and dynamic consistency: Experimental evidence for risk and ambiguity

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  • Stefan T. Trautmann

    (University of Heidelberg)

  • Gijs Kuilen

    (Tilburg University)

Abstract

Literature on fairness preferences distinguishes between outcome fairness, concerning the final allocation of payoffs, and process fairness, concerning the expected allocation of payoffs. It is not obvious, however, whether process fairness can consistently be implemented. Once uncertainty is resolved and outcomes are determined, the ex-ante procedurally fair decision maker may become consequentialist ex-post, and reconsider her choice on the basis of the observed outcomes. We present experimental evidence on dynamic consistency of social preferences under both known risk and ambiguity. A significant share of people subscribe to process fairness both before and after the resolution of uncertainty.

Suggested Citation

  • Stefan T. Trautmann & Gijs Kuilen, 2016. "Process fairness, outcome fairness, and dynamic consistency: Experimental evidence for risk and ambiguity," Journal of Risk and Uncertainty, Springer, vol. 53(2), pages 75-88, December.
  • Handle: RePEc:kap:jrisku:v:53:y:2016:i:2:d:10.1007_s11166-016-9249-4
    DOI: 10.1007/s11166-016-9249-4
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    References listed on IDEAS

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    Cited by:

    1. James Andreoni & Deniz Aydin & Blake Barton & B. Douglas Bernheim & Jeffrey Naecker, 2020. "When Fair Isn’t Fair: Understanding Choice Reversals Involving Social Preferences," Journal of Political Economy, University of Chicago Press, vol. 128(5), pages 1673-1711.
    2. Konstantinos Georgalos & Indrajit Ray & Sonali SenGupta, 2020. "Nash versus coarse correlation," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1178-1204, December.
    3. Georgalos, Konstantinos & Ray, Indrajit & Gupta, Sonali Sen, 2019. "Nash vs. Coarse Correlation," Cardiff Economics Working Papers E2019/3, Cardiff University, Cardiff Business School, Economics Section.
    4. Reindl, Ilona & Tyran, Jean-Robert, 2021. "Equal opportunities for all? How income redistribution promotes support for economic inclusion," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 390-407.
    5. Hyndman, Kyle & Walker, Matthew J., 2022. "Fairness and risk in ultimatum bargaining," Games and Economic Behavior, Elsevier, vol. 132(C), pages 90-105.
    6. Schmidt, Robert J. & Trautmann, Stefan T., 2019. "Implementing (Un)fair Procedures? Favoritism and Process Fairness when Inequality is Inevitable," Other publications TiSEM 125472e2-51a2-4cf9-aab5-1, Tilburg University, School of Economics and Management.
    7. Gianluca Grimalda & Anirban Kar & Eugenio Proto, 2016. "Procedural fairness in lotteries assigning initial roles in a dynamic setting," Experimental Economics, Springer;Economic Science Association, vol. 19(4), pages 819-841, December.
    8. Gagnon, Nickolas & Bosmans, Kristof & Riedl, Arno, 2020. "The Effect of Unfair Chances and Gender Discrimination on Labor Supply," Research Memorandum 005, Maastricht University, Graduate School of Business and Economics (GSBE).
    9. Konstantinos Georgalos & Indrajit Ray & Sonali Sen Gupta, 2017. "Coarse correlation and coordination in a game," Working Papers 151235570, Lancaster University Management School, Economics Department.
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    11. Gago, Andrés, 2021. "Reciprocity and uncertainty: When do people forgive?," Journal of Economic Psychology, Elsevier, vol. 84(C).
    12. Hyndman, Kyle, 2023. "Dynamic fairness in repeated bargaining with risk," Journal of Economic Psychology, Elsevier, vol. 94(C).
    13. Schmidt, Robert J. & Trautmann, Stefan T., 2019. "Implementing (un)fair procedures? Favoritism and process fairness when inequality is inevitable," Working Papers 0661, University of Heidelberg, Department of Economics.

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