IDEAS home Printed from https://ideas.repec.org/h/eme/rexezz/s0193-230620220000021007.html
   My bibliography  Save this book chapter

Not as I Do: Hypocrisy Aversion and Optimal Punishment of Common Offenses

In: Experimental Law and Economics

Author

Listed:
  • Gregory DeAngelo
  • Michael D. Makowsky
  • Bryan McCannon

Abstract

Law enforcement agents enforce rules that they might transgress in their private lives. Building from a theory of “hypocrisy aversion” where agents incur psychological costs from imposing a sanction on others for rules that they might break, the authors design a two-player game in which players are simultaneously placed in the roles of enforcer and potential transgressor. In this model, discretionary enforcement is endogenous to the size of the sanction. Conditional on rewards to enforcement and punishment that are both sufficiently small in the status quo, the authors demonstrate that price effects can be dominated by second-order hypocrisy effects, leading to rates of transgression thatincreasewith larger sanctions. The authors test the model within a laboratory experiment where individuals can simultaneously gamble at the expense of a third party and punish those they observe gambling. Examining the comparable testable predictions of models of (i) selfish agents, (ii) pro-social agents, and (iii) pro-social agents who are averse to hypocrisy, the authors find evidence of hypocrisy aversion in the rates of gambling, sanctioning, and the changing composition of agent strategies. Our results suggest that increasing sanctions can backfire in the deterrence of common criminal and non-criminal offenses.

Suggested Citation

  • Gregory DeAngelo & Michael D. Makowsky & Bryan McCannon, 2022. "Not as I Do: Hypocrisy Aversion and Optimal Punishment of Common Offenses," Research in Experimental Economics, in: Experimental Law and Economics, volume 21, pages 165-200, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:rexezz:s0193-230620220000021007
    DOI: 10.1108/S0193-230620220000021007
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S0193-230620220000021007/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S0193-230620220000021007/full/epub?utm_source=repec&utm_medium=feed&utm_campaign=repec&title=10.1108/S0193-230620220000021007
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S0193-230620220000021007/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/S0193-230620220000021007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    K42; C91; D02; Law enforcement; hypocrisy; optimal deterrence; sanction; experiment; proscribed behavior;
    All these keywords.

    JEL classification:

    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:rexezz:s0193-230620220000021007. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emerald Support (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.