IDEAS home Printed from https://ideas.repec.org/p/hal/pseptp/halshs-00259460.html
   My bibliography  Save this paper

Contrôle des activités illégales en présence d'un biais d'optimisme

Author

Listed:
  • Nicolas Jacquemet

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Jean-Louis Rullière

    (GATE - Groupe d'analyse et de théorie économique - UL2 - Université Lumière - Lyon 2 - ENS LSH - Ecole Normale Supérieure Lettres et Sciences Humaines - CNRS - Centre National de la Recherche Scientifique)

  • Isabelle Vialle

    (GATE - Groupe d'analyse et de théorie économique - UL2 - Université Lumière - Lyon 2 - ENS LSH - Ecole Normale Supérieure Lettres et Sciences Humaines - CNRS - Centre National de la Recherche Scientifique)

Abstract

Le contrôle est l'un des instruments majeur de répression des activités illégales. Cette dimension est intégrée aux analyses économiques du crime sous la forme d'une probabilité de détection et fondée seulement sur l'aversion au risque. La psychologie cognitive montre que la perception des probabilités peut elle-même varier d'un individu à l'autre. Cet article propose une analyse expérimentale de ce type d'erreur de perception, qualifiée de biais d'optimisme, à partir d'une série de choix entre une activité légale et une activité illégale. Les traitements expérimentaux évaluent la mesure dans laquelle les modalités de contrôle peuvent, à probabilité donnée, influencer les biais d'optimisme. Les résultats suggèrent que les politiques de communication de lutte contre les activités frauduleuses doivent favoriser la perception idiosyncrasique du risque.

Suggested Citation

  • Nicolas Jacquemet & Jean-Louis Rullière & Isabelle Vialle, 2007. "Contrôle des activités illégales en présence d'un biais d'optimisme," PSE-Ecole d'économie de Paris (Postprint) halshs-00259460, HAL.
    • Handle: RePEc:hal:pseptp:halshs-00259460
    DOI: 10.3917/reco.583.0555
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00259460
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-00259460/document
    Download Restriction: no
    File URL: https://libkey.io/10.3917/reco.583.0555?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gervais, Simon & Odean, Terrance, 2001. "Learning to be Overconfident," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 1-27.
    2. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    3. Roland Bénabou & Jean Tirole, 2005. "Self-Confidence and Personal Motivation," International Economic Association Series, in: Bina Agarwal & Alessandro Vercelli (ed.), Psychology, Rationality and Economic Behaviour, chapter 2, pages 19-57, Palgrave Macmillan.
    4. 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.
    5. Bruno Biais & Denis Hilton & Karine Mazurier & Sébastien Pouget, 2005. "Judgemental Overconfidence, Self-Monitoring, and Trading Performance in an Experimental Financial Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 287-312.
    6. Fang, Hanming & Moscarini, Giuseppe, 2005. "Morale hazard," Journal of Monetary Economics, Elsevier, vol. 52(4), pages 749-777, May.
    7. Erik Hoelzl & Aldo Rustichini, 2005. "Overconfident: Do You Put Your Money On It?," Economic Journal, Royal Economic Society, vol. 115(503), pages 305-318, April.
    8. Dan Lovallo & Colin Camerer, 1999. "Overconfidence and Excess Entry: An Experimental Approach," American Economic Review, American Economic Association, vol. 89(1), pages 306-318, March.
    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


    Cited by:

    1. 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.
    2. repec:hal:wpaper:halshs-00746617 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oberlechner, Thomas & Osler, Carol, 2012. "Survival of Overconfidence in Currency Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(1), pages 91-113, February.
    2. Jacquemet, Nicolas & Rullière, Jean-Louis & Vialle, Isabelle, 2008. "Monitoring optimistic agents," Journal of Economic Psychology, Elsevier, vol. 29(5), pages 698-714, November.
    3. Dasgupta, Utteeyo & Gangadharan, Lata & Maitra, Pushkar & Mani, Subha & Subramanian, Samyukta, 2015. "Choosing to be trained: Do behavioral traits matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 110(C), pages 145-159.
    4. Benoît, Jean-Pierre & Dubra, Juan, 2007. "Overconfidence?," MPRA Paper 6017, University Library of Munich, Germany, revised Nov 2007.
    5. Hestermann, Nina & Le Yaouanq, Yves, 2018. "It\'s not my Fault! Self-Confidence and Experimentation," Rationality and Competition Discussion Paper Series 124, CRC TRR 190 Rationality and Competition.
    6. Koellinger, Ph.D. & Treffers, T., 2012. "Joy leads to Overconfidence, and a Simple Remedy," ERIM Report Series Research in Management ERS-2012-001-STR, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. Jean‐Pierre Benoît & Juan Dubra, 2011. "Apparent Overconfidence," Econometrica, Econometric Society, vol. 79(5), pages 1591-1625, September.
    8. Danková, Katarína & Servátka, Maroš, 2019. "Gender robustness of overconfidence and excess entry," Journal of Economic Psychology, Elsevier, vol. 72(C), pages 179-199.
    9. Heger, Stephanie A. & Papageorge, Nicholas W., 2018. "We should totally open a restaurant: How optimism and overconfidence affect beliefs," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 177-190.
    10. de la Rosa, Leonidas Enrique, 2011. "Overconfidence and moral hazard," Games and Economic Behavior, Elsevier, vol. 73(2), pages 429-451.
    11. Jean-Pierre Benoît & Juan Dubra & Don A. Moore, 2015. "Does The Better-Than-Average Effect Show That People Are Overconfident?: Two Experiments," Journal of the European Economic Association, European Economic Association, vol. 13(2), pages 293-329, April.
    12. Banerjee, Ritwik & Gupta, Nabanita Datta & Villeval, Marie Claire, 2020. "Feedback spillovers across tasks, self-confidence and competitiveness," Games and Economic Behavior, Elsevier, vol. 123(C), pages 127-170.
    13. Laurent Germain & Fabrice Rousseau & Anne Vanhems, 2014. "Irrational Market Makers," Finance, Presses universitaires de Grenoble, vol. 35(1), pages 107-145.
    14. Zahra Murad & Martin Sefton & Chris Starmer, 2016. "How do risk attitudes affect measured confidence?," Journal of Risk and Uncertainty, Springer, vol. 52(1), pages 21-46, February.
    15. Helen X. H. Bao & Steven Haotong Li, 2016. "Overconfidence And Real Estate Research: A Survey Of The Literature," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(04), pages 1-24, September.
    16. Vecci, Joseph & Zelinsky, Tomas, 2016. "Social Identity and Role Models," Working Papers in Economics 672, University of Gothenburg, Department of Economics.
    17. Deaves, Richard & Lüders, Erik & Schröder, Michael, 2010. "The dynamics of overconfidence: Evidence from stock market forecasters," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 402-412, September.
    18. Proeger, Till & Meub, Lukas, 2014. "Overconfidence as a social bias: Experimental evidence," Economics Letters, Elsevier, vol. 122(2), pages 203-207.
    19. Utteeyo Dasgupta & Subha Mani & Lata Gangadharan & Pushkar Maitra & Samyukta Subramanian, 2012. "Choosing to be Trained: Evidence from a Field Experiment," Fordham Economics Discussion Paper Series dp2012_01, Fordham University, Department of Economics.
    20. Ester Faia & Andreas Fuster & Vincenzo Pezone & Basit Zafar, 2024. "Biases in Information Selection and Processing: Survey Evidence from the Pandemic," The Review of Economics and Statistics, MIT Press, vol. 106(3), pages 829-847, May.

    More about this item

    Keywords

    Optimisme; Controle; Activités illégales; Economie expérimentale;
    All these keywords.

    JEL classification:

    • 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 and Avoidance

    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:hal:pseptp:halshs-00259460. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: Caroline Bauer (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.