Contrôle des activités illégales en présence d'un biais d'optimisme
AbstractAlthough expensive, monitoring is the most efficient mean to repress a criminal activity. This is typically included in economic models of crime thanks to a probability of detection, and only based on risk aversion. According to recent results in psychology literature, the perception of this probability can however be specific to each individual. This paper experimentally investigates the existence of such errors in probabilities forecasts, often labelled ?optimism bias?. The experiment relies on choices between a no risky (legal) activity and an illegal activity ? randomly penalized by a fine. The experimental treatments assess whether the way the monitoring policy is announced can affect the optimism bias. The results provide a guide into costless devices to undermine illegal activities, grounded on an idiosyncratic perception of risk. Classification JEL : C91, C92, D82, H21, H26
Download InfoIf 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Presses de Sciences-Po in its journal Revue économique.
Volume (Year): 58 (2007)
Issue (Month): 3 ()
Contact details of provider:
Web page: http://www.cairn.info/revue-economique.htm
Other versions of this item:
- Nicolas Jacquemet & Jean-Louis Rullière & Isabelle Vialle, 2007. "Contrôle des activités illégales en présence d'un biais d'optimisme," UniversitÃ© Paris1 PanthÃ©on-Sorbonne (Post-Print and Working Papers) halshs-00259460, HAL.
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
- H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion
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.:
- Gervais, Simon & Odean, Terrance, 2001.
"Learning to be Overconfident,"
Review of Financial Studies,
Society for Financial Studies, vol. 14(1), pages 1-27.
- Simon Gervais & Terrance Odean, . "Learning To Be Overconfident," Rodney L. White Center for Financial Research Working Papers 5-97, Wharton School Rodney L. White Center for Financial Research.
- Simon Gervais & Terrance Odean, . "Learning To Be Overconfident," Rodney L. White Center for Financial Research Working Papers 05-97, Wharton School Rodney L. White Center for Financial Research.
- Hanming Fang & Giuseppe Moscarini, 2003.
Cowles Foundation Discussion Papers
1422, Cowles Foundation for Research in Economics, Yale University.
- Charles A. Holt & Susan K. Laury, 2005. "Risk Aversion and Incentive Effects: New Data without Order Effects," American Economic Review, American Economic Association, vol. 95(3), pages 902-912, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jean-Baptiste de Vathaire).
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.