IDEAS home Printed from https://ideas.repec.org/a/ucp/jlstud/v29y2000i1p287-300.html
   My bibliography  Save this article

Self-Reporting in Optimal Law Enforcement When Violators Have Heterogeneous Probabilities of Apprehension

Author

Listed:
  • Innes, Robert

Abstract

Laws often encourage violators to self-report their crimes rather than subject themselves to probabilistic law enforcement. This paper studies the merits of self-reporting when violators otherwise face heterogeneous probabilities of apprehension. In this setting, an optimal enforcement regime does not elicit self-reporting by all violators. However, even when self-reporting enjoys none of the advantages identified elsewhere, efficiency can often be enhanced by inducing some violators those with a sufficiently high risk of apprehension to self-report. By offering a lower sanction to violators who are excessively penalized, the self-reporting option provides more efficient incentives for these individuals to avoid criminal conduct. Copyright 2000 by the University of Chicago.

Suggested Citation

  • Innes, Robert, 2000. "Self-Reporting in Optimal Law Enforcement When Violators Have Heterogeneous Probabilities of Apprehension," The Journal of Legal Studies, University of Chicago Press, vol. 29(1), pages 287-300, January.
  • Handle: RePEc:ucp:jlstud:v:29:y:2000:i:1:p:287-300
    DOI: 10.1086/468071
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/468071
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/468071?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

    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:ucp:jlstud:v:29:y:2000:i:1:p:287-300. 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/JLS .

    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.