Advanced Search
MyIDEAS: Login

Dynamic optimal law enforcement with learning

Contents:

Author Info

  • Mohamed Jellal
  • Nuno Garoupa

Abstract

We incorporate the process of enforcement learning by assuming that the agency's current marginal cost is a decreasing function of its past experience of detecting and convicting. The agency accumulates data and information (on criminals, on opportunities of crime) enhancing the ability to apprehend in the future at a lower marginal cost. We focus on the impact of enforcement learning on optimal stationary compliance rules. In particular, we show that the optimal stationary fine could be less-than-maximal and the optimal stationary probability of detection could be higher-than-otherwise.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.econ.upf.edu/docs/papers/downloads/402.pdf
File Function: Whole Paper
Download Restriction: no

Bibliographic Info

Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 402.

as in new window
Length:
Date of creation: Jun 1999
Date of revision:
Handle: RePEc:upf:upfgen:402

Contact details of provider:
Web page: http://www.econ.upf.edu/

Related research

Keywords: Fine; probability of detection and punishment; learning;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Kaplow, Louis, 1990. "A note on the optimal use of nonmonetary sanctions," Journal of Public Economics, Elsevier, vol. 42(2), pages 245-247, July.
  2. Ryder, Harl E, Jr & Heal, Geoffrey M, 1973. "Optimum Growth with Intertemporally Dependent Preferences," Review of Economic Studies, Wiley Blackwell, vol. 40(1), pages 1-33, January.
  3. Shavell, Steven, 1993. "The Optimal Structure of Law Enforcement," Journal of Law and Economics, University of Chicago Press, vol. 36(1), pages 255-87, April.
  4. A. Mitchell Polinsky & Steven Shavell, 1982. "The Optimal Use of Fines and Imprisonment," NBER Working Papers 0932, National Bureau of Economic Research, Inc.
  5. Ben-Shahar, Omri, 1997. "Playing without a rulebook: Optimal enforcement when individuals learn the penalty only by committing the crime," International Review of Law and Economics, Elsevier, vol. 17(3), pages 409-421, September.
  6. Nash, John, 1991. "To make the punishment fit the crime: The theory and statistical estimation of a multi-period optimal deterrence model," International Review of Law and Economics, Elsevier, vol. 11(1), pages 101-110, May.
  7. Steven Shavell & A. Mitchell Polinsky, 2000. "The Economic Theory of Public Enforcement of Law," Journal of Economic Literature, American Economic Association, vol. 38(1), pages 45-76, March.
  8. Leung, Siu Fai, 1995. "Dynamic Deterrence Theory," Economica, London School of Economics and Political Science, vol. 62(245), pages 65-87, February.
  9. Sah, Raaj K, 1991. "Social Osmosis and Patterns of Crime," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1272-95, December.
  10. Garoupa, Nuno, 1997. " The Theory of Optimal Law Enforcement," Journal of Economic Surveys, Wiley Blackwell, vol. 11(3), pages 267-95, September.
  11. Davis, Michael L, 1988. "Time and Punishment: An Intertemporal Model of Crime," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 383-90, April.
  12. Polinsky, A. Mitchell & Shavell, Steven, 1998. "On offense history and the theory of deterrence," International Review of Law and Economics, Elsevier, vol. 18(3), pages 305-324, September.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. João Ricardo Faria & Gonçalo Monteiro, . "The Tenure Game: Building Up Academic Habits," Discussion Papers 05/32, Department of Economics, University of York.
  2. Jellal, Mohamed & Garoupa, Nuno, 2004. "Dynamic law enforcement with learning," MPRA Paper 38480, University Library of Munich, Germany.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:upf:upfgen:402. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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