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Social comparison and risky choices

Author

Listed:
  • Jona Linde
  • Joep Sonnemans

Abstract

This discussion paper has led to a publication in 'Journal of Risk and Uncertainty' , 2014, 44(1), 45-72. This study attempts to combine two traditional fields in microeconomics: individual decision making under risk and decision making in an interpersonal context. The influence of social comparison on risky choices is explored in an experiment in which participants make a series of choices between lotteries with only positive outcomes. Three kinds of choice situations are employed. In the loss and gain context the social referent receives a fixed payoff that is respectively higher and lower than all possible payoffs of the decision maker. In the neutral context social referent and decision maker will always earn the same amount. In the gain and loss contexts the decision maker has no influence on the earnings of the social referent so strategic behavior or social preferences can play no role. We find that decision makers are more risk-averse in the loss context than in the gain context, with the behavior in the neutral context in between. This result is in opposition to the predictions of prospect theory extrapolated to a social context.
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Suggested Citation

  • Jona Linde & Joep Sonnemans, 2012. "Social comparison and risky choices," Journal of Risk and Uncertainty, Springer, vol. 44(1), pages 45-72, February.
  • Handle: RePEc:kap:jrisku:v:44:y:2012:i:1:p:45-72
    DOI: 10.1007/s11166-011-9135-z
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    More about this item

    Keywords

    Decision making under risk; Reflection effect; Social comparison; Social preferences; Experiment; C91; D81; D03;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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