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Tacit Collusion under Fairness and Reciprocity

Author

Listed:
  • Doruk İriş

    (Sogang University, School of Economics, 35 Baekbeom-ro, Seoul, South Korea)

  • Luís Santos-Pinto

    () (University of Lausanne, Faculty of Business and Economics, Internef, 535 CH-1015, Lausanne, Switzerland)

Abstract

This paper departs from the standard profit-maximizing model of firm behavior by assuming that firms are motivated in part by personal animosity–or respect–towards their competitors. A reciprocal firm responds to unkind behavior of rivals with unkind actions (negative reciprocity), while at the same time, it responds to kind behavior of rivals with kind actions (positive reciprocity). We find that collusion is easier to sustain when firms have a concern for reciprocity towards competing firms provided that they consider collusive prices to be kind and punishment prices to be unkind. Thus, reciprocity concerns among firms can have adverse welfare consequences for consumers.

Suggested Citation

  • Doruk İriş & Luís Santos-Pinto, 2013. "Tacit Collusion under Fairness and Reciprocity," Games, MDPI, Open Access Journal, vol. 4(1), pages 1-16, February.
  • Handle: RePEc:gam:jgames:v:4:y:2013:i:1:p:50-65:d:23527
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Roux, Catherine & Thöni, Christian, 2015. "Collusion among many firms: The disciplinary power of targeted punishment," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 83-93.
    2. von Siemens, Ferdinand A., 2013. "Intention-based reciprocity and the hidden costs of control," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 55-65.
    3. Mark Armstrong & Steffen Huck, 2011. "Behavioral Economics as Applied to Firms: A Primer," Antitrust Chronicle, Competition Policy International, vol. 1.

    More about this item

    Keywords

    fairness; reciprocity; collusion; repeated games;

    JEL classification:

    • C - Mathematical and Quantitative Methods
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

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