IDEAS home Printed from https://ideas.repec.org/p/yon/wpaper/2019rwp-158.html
   My bibliography  Save this paper

Exoneree Compensation and Endogenous Plea Bargaining : Theory and Experiment

Author

Listed:
  • Chulyoung Kim

    (Yonsei Univ)

  • Sang-Hyun Kim

    (Yonsei Univ)

Abstract

We provide a model of endogenous plea bargaining in which a prosecutor has discretion over her choice of plea bargains in response to a level of exoneree compensation mandated by the state. It is shown that an increase of the compensation may invite a sentence-maximizing prosecutor to offer a higher or lower plea bargain discount, depending on parameter values. We brought this model to the lab, finding that (i) when the exoneration process featured high accuracy, a higher level of exoneree compensation induced no significant change in the average plea bargain discounts but still reduced the number of innocent pleas without affecting the number of guilty individuals pleading guilty, and (ii) when the exoneration process was plagued with low accuracy, a higher level of exoneree compensation increased the average plea bargain discounts but had no significant influence on the number of innocent and guilty individuals pleading guilty. These findings suggest that exoneree compensation could be an effective policy tool in reducing innocent pleas and wrongful convictions when combined with accurate exoneration processes, and that a statute for exoneree compensation could be effective even when one cannot expect coordination between the prosecution office and the state legislative.

Suggested Citation

  • Chulyoung Kim & Sang-Hyun Kim, 2019. "Exoneree Compensation and Endogenous Plea Bargaining : Theory and Experiment," Working papers 2019rwp-158, Yonsei University, Yonsei Economics Research Institute.
  • Handle: RePEc:yon:wpaper:2019rwp-158
    as

    Download full text from publisher

    File URL: http://121.254.254.220/repec/yon/wpaper/2019rwp-158.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    exoneree compensation; plea bargain; wrongful conviction; exoneration process;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
    • K41 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Litigation Process
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:yon:wpaper:2019rwp-158. 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: YERI (email available below). General contact details of provider: https://edirc.repec.org/data/eryonkr.html .

    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.