Analysis of Current Penalty Schemes for Violations of Antitrust Laws
The main feature of the penalty schemes described in current sentencing guidelines is that the fine is based on the accumulated gains from cartel activities or price-fixing activities for the firm. The regulations suggest modeling the penalty as an increasing function of the accumulated illegal gains from price fixing to the firm, so that the history of the violation is taken into account. We incorporate these features of the penalty scheme into an optimal control model of a profit-maximizing firm under antitrust enforcement. To determine the effect of taking into account the history of the violation, we compare the outcome of this model with a model where the penalty is fixed. The analysis of the latter model implies that complete deterrence can be achieved only at the cost of shutting down the firm. The proportional scheme improves upon the fixed penalty, since it can ensure complete deterrence in the long run, even when penalties are moderate. Phase-diagram analysis shows that, the higher the probability and severity of punishment, the sooner cartel formation is blocked. Further, a sensitivity analysis is provided to show which strategies are most successful in reducing the degree of price fixing. It turns out that, when the penalties are already high, the antitrust policy aiming at a further increase in the severity of punishment is less efficient than the policy that increases the probability of punishment.
|Date of creation:||Feb 2006|
|Date of revision:|
|Publication status:||Published in Journal of Optimization Theory and Applications 2.128(2006): pp. 431-451|
|Contact details of provider:|| Postal: |
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC
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.:
- Nuno Garoupa, 2000.
"Optimal magnitude and probability of fines,"
Economics Working Papers
454, Department of Economics and Business, Universitat Pompeu Fabra.
- Winand Emons, 2001.
"A Note on the Optimal Punishment for Repeat Offenders,"
dp0104, Universitaet Bern, Departement Volkswirtschaft.
- Emons, Winand, 2003. "A note on the optimal punishment for repeat offenders," International Review of Law and Economics, Elsevier, vol. 23(3), pages 253-259, September.
- Gustav Feichtinger, 1983. "A Differential Games Solution to a Model of Competition Between a Thief and the Police," Management Science, INFORMS, vol. 29(6), pages 686-699, June.
- Gary S. Becker, 1974.
"Crime and Punishment: An Economic Approach,"
in: Essays in the Economics of Crime and Punishment, pages 1-54
National Bureau of Economic Research, Inc.
- Leung, Siu Fai, 1991.
"How to make the fine fit the corporate crime? : An analysis of static and dynamic optimal punishment theories,"
Journal of Public Economics,
Elsevier, vol. 45(2), pages 243-256, July.
- Leung, S.F., 1991. "How to Make the Fine Fit the Corporate Crime? An Analysis of Static and Dynamic Optimal Punishment Theories," RCER Working Papers 261, University of Rochester - Center for Economic Research (RCER).
- Garoupa, Nuno, 1997. " The Theory of Optimal Law Enforcement," Journal of Economic Surveys, Wiley Blackwell, vol. 11(3), pages 267-95, September.
- Polinsky, Mitchell & Shavell, Steven, 1979. "The Optimal Tradeoff between the Probability and Magnitude of Fines," American Economic Review, American Economic Association, vol. 69(5), pages 880-91, December.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:17227. 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: (Ekkehart Schlicht)
If references are entirely missing, you can add them using this form.