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On the Robustness of Emotions and Behavior in a Power-to-Take Game Experiment

Author

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  • Fabio Galeotti

    (University of East Anglia)

Abstract

An important branch of economic research on emotions has used power-to-take game experiments to study the impact of negative emotions, such as anger, irritation and contempt, on the decision to punish. We investigate experimentally to what extent the findings of this literature are driven by the particular punishment technology adopted, and whether the experience and background of the participants affect behavior and emotions in this context. We found that (a) negative emotions do still play an important role when the potential relevant confound is removed from the punishment technology; (b) subjects display a similar behavior under a punishment technology with a constant and variable 'fine-to-fee' ratio; (c) previous experience mediates how contempt impacts on the decision to punish; and (d) non-UK students experience similar emotions to UK students, but generally appropriate more resources than UK students.

Suggested Citation

  • Fabio Galeotti, 2013. "On the Robustness of Emotions and Behavior in a Power-to-Take Game Experiment," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 13-07, School of Economics, University of East Anglia, Norwich, UK..
  • Handle: RePEc:uea:wcbess:13-07
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    Cited by:

    1. van Winden, Frans, 2015. "Political economy with affect: On the role of emotions and relationships in political economics," European Journal of Political Economy, Elsevier, vol. 40(PB), pages 298-311.

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    More about this item

    Keywords

    emotions; punishment; methodology; power-to-take; experiment;
    All these keywords.

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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