IDEAS home Printed from https://ideas.repec.org/a/eee/pubeco/v46y1991i3p291-306.html

A model of optimal fines for repeat offenders

Author

Listed:
  • Mitchell Polinsky, A.
  • Rubinfeld, Daniel L.

Abstract

This paper analyzes optimal fines in a model in which individuals can commit up to two offenses. The fine for the second offense is allowed to differ from the fine for the first offense. There are four natural cases in the model, defined by assumptions about the gains to individuals from committing the offense. In the case fully analyzed it may be optimal to punish repeat offenders more severely than first-time offenders. In another case, it may be optimal to impose less severe penalties on repeat offenders. And in the two remaining cases, the optimal penalty does not change.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Mitchell Polinsky, A. & Rubinfeld, Daniel L., 1991. "A model of optimal fines for repeat offenders," Journal of Public Economics, Elsevier, vol. 46(3), pages 291-306, December.
    • Handle: RePEc:eee:pubeco:v:46:y:1991:i:3:p:291-306
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0047-2727(91)90009-Q
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    More about this item

    JEL classification:

    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

    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:eee:pubeco:v:46:y:1991:i:3:p:291-306. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505578 .

    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.