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When and How the Punishment Must Fit the Crime

Author

Listed:
  • George J. Mailath
  • Volker Nocke
  • Lucy White

Abstract

In repeated normal-form (simultaneous-move) games, simple penal codes (Abreu,1986, 1988) permit an elegant characterization of the set of subgame-perfect outcomes.We show that the logic of simple penal codes fails in repeated extensive-form games. By means of examples, we identify two types of settings in which a subgame-perfect outcome may be supported only by a profile with the property that the continuation play after a deviation is tailored not only to the identity of the deviator, but also to the nature of the deviation.

Suggested Citation

  • George J. Mailath & Volker Nocke & Lucy White, 2015. "When and How the Punishment Must Fit the Crime," ANU Working Papers in Economics and Econometrics 2015-622, Australian National University, College of Business and Economics, School of Economics.
  • Handle: RePEc:acb:cbeeco:2015-622
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    File URL: https://www.cbe.anu.edu.au/researchpapers/econ/wp622.pdf
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    Cited by:

    1. Isabel Strecker, 2024. "Gambling bank behaviour, incentive mechanism, and sanctions: A two-stage model," Journal of Banking Regulation, Palgrave Macmillan, vol. 25(2), pages 197-208, June.
    2. Sebastian Schweighofer-Kodritsch, 2015. "Time Preferences and Bargaining," STICERD - Theoretical Economics Paper Series /2015/568, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    3. Biancini, Sara & Ettinger, David, 2017. "Vertical integration and downstream collusion," International Journal of Industrial Organization, Elsevier, vol. 53(C), pages 99-113.
    4. Emilio Bisetti & Benjamin Tengelsen & Ariel Zetlin‐Jones, 2022. "Moral Hazard In Remote Teams," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1595-1623, November.

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    Keywords

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    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • 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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