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Decisions under risk in a social and individual context: The limits of social preferences?

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  • Linde, Jona
  • Sonnemans, Joep

Abstract

Social preference models were originally constructed to explain why people spend money to affect the earnings of others. These social preference theories are now widely used to model situations where decision makers do not influence the earnings of others, for example the labor market. Outcome-based social preference models make predictions in these settings as well. We therefore test these models in a novel experimental situation where participants face risky decisions that affect only their own earnings. In the social (individual) treatment participants do (not) observe the earnings of others. In the social treatment gambles therefore not only affect absolute but also relative earnings. All outcome-based social preference models predict a treatment difference. We find that decisions are generally the same in both treatments, which suggests these models are less general applicable than their formulation suggests.

Suggested Citation

  • Linde, Jona & Sonnemans, Joep, 2015. "Decisions under risk in a social and individual context: The limits of social preferences?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 56(C), pages 62-71.
  • Handle: RePEc:eee:soceco:v:56:y:2015:i:c:p:62-71
    DOI: 10.1016/j.socec.2015.03.003
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    3. Jingcheng Fu & Martin Sefton & Richard Upward, 2017. "Social comparisons in job search: experimental evidence," Discussion Papers 2017-10, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
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    5. Grimalda, Gianluca & Farina, Francesco & Schmidt, Ulrich, 2018. "Preferences for redistribution in the US, Italy, Norway: An experiment study," Kiel Working Papers 2099, Kiel Institute for the World Economy (IfW Kiel).
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    7. Verena Kurz & Andreas Orland & Kinga Posadzy, 2018. "Fairness versus efficiency: how procedural fairness concerns affect coordination," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 601-626, September.
    8. 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.

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    More about this item

    Keywords

    Fairness; Social preferences; Decision making under risk; Experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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