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Is fairness intuitive? An experiment accounting for subjective utility differences under time pressure

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  • Anna Louisa Merkel

    (University of Heidelberg)

  • Johannes Lohse

    (University of Birmingham)

Abstract

Evidence from response time studies and time pressure experiments has led several authors to conclude that “fairness is intuitive”. In light of conflicting findings, we provide theoretical arguments showing under which conditions an increase in “fairness” due to time pressure indeed provides unambiguous evidence in favor of the “fairness is intuitive” hypothesis. Drawing on recent applications of the Drift Diffusion Model (Krajbich et al. in Nat Commun 6:7455, 2015a), we demonstrate how the subjective difficulty of making a choice affects decisions under time pressure and time delay, thereby making an unambiguous interpretation of time pressure effects contingent on the choice situation. To explore our theoretical considerations and to retest the “fairness is intuitive” hypothesis, we analyze choices in two-person binary dictator and prisoner’s dilemma games under time pressure or time delay. In addition, we manipulate the subjective difficulty of choosing the fair relative to the selfish option. Our main finding is that time pressure does not consistently promote fairness in situations where this would be predicted after accounting for choice difficulty. Hence, our results cast doubt on the hypothesis that “fairness is intuitive”.

Suggested Citation

  • Anna Louisa Merkel & Johannes Lohse, 2019. "Is fairness intuitive? An experiment accounting for subjective utility differences under time pressure," Experimental Economics, Springer;Economic Science Association, vol. 22(1), pages 24-50, March.
  • Handle: RePEc:kap:expeco:v:22:y:2019:i:1:d:10.1007_s10683-018-9566-3
    DOI: 10.1007/s10683-018-9566-3
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    2. Fadong Chen & Urs Fischbacher, 2020. "Cognitive processes underlying distributional preferences: a response time study," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 421-446, June.
    3. Clithero, John A., 2018. "Response times in economics: Looking through the lens of sequential sampling models," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 61-86.
    4. Strømland, Eirik & Torsvik, Gaute, 2019. "Intuitive Prosociality: Heterogeneous Treatment Effects or False Positive?," OSF Preprints hrx2y, Center for Open Science.
    5. Li, Yadong & Guan, Zhenzhong & Ren, Jianbiao, 2023. "Channel coordination under retailer's (sub)conscious preferences of loss aversion and fairness," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    6. Bilancini, Ennio & Boncinelli, Leonardo & Guarnieri, Pietro & Spadoni, Lorenzo, 2023. "Delaying and motivating decisions in the (Bully) dictator game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    7. Hanna Fromell & Daniele Nosenzo & Trudy Owens, 2020. "Altruism, fast and slow? Evidence from a meta-analysis and a new experiment," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 979-1001, December.
    8. Goeschl, Timo & Lohse, Johannes, 2018. "Cooperation in public good games. Calculated or confused?," European Economic Review, Elsevier, vol. 107(C), pages 185-203.
    9. Mark Schneider & Jonathan W. Leland, 2021. "Salience and social choice," Experimental Economics, Springer;Economic Science Association, vol. 24(4), pages 1215-1241, December.
    10. Niu, Xiaofei & Li, Jianbiao, 2019. "How Time Constraint Affects the Disposition Effect?," EconStor Preprints 194618, ZBW - Leibniz Information Centre for Economics.

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    More about this item

    Keywords

    Distributional preferences; Cooperation; Time pressure; Response times; Cognitive processes; Drift Diffusion Models;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

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