A Note on Optimal Law Enforcement under Asymmetric Information

Mohamed Jellal () and Nuno Garoupa

MPRA Paper from University Library of Munich, Germany

Abstract: We show that the probability of apprehension and punishment is usually reduced in a framework with asymmetric information, leading to more offenses being committed. A positive correlation between crime and asymmetry of information in the enforcement process is established. Some suggestions concerning the efficiency of private versus public enforcement are drawn.

Keywords: fine; probability of detection; asymmetry of information (search for similar items in EconPapers)
JEL-codes: D82 K42 (search for similar items in EconPapers)
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/38460/1/MPRA_paper_38460.pdf original version (application/pdf)

Related works:
Journal Article: A Note on Optimal Law Enforcement under Asymmetric Information (2002)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:38460

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().