IDEAS home Printed from https://ideas.repec.org/p/hal/cesptp/halshs-00272928.html
   My bibliography  Save this paper

Monitoring optimistic agents

Author

Listed:
  • Nicolas Jacquemet

    () (CES - Centre d'économie de la Sorbonne - UP1 - Université Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics)

  • Jean-Louis Rullière

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

Abstract

Monitoring is typically included in economic models of crime thanks to a probability of detection, constant across individuals. We build on recent results in psychology to argue that comparative optimism deeply affects this standard relation. To this matter, we introduce an experiment involving proper incentives that allow a measurement of optimism bias. Our experiments support the relevance of so-called comparative optimism in decision under risk. In the context of illegal activities, our results provide a guide into costless devices to undermine fraud, through well-designed information campaigns.

Suggested Citation

  • Nicolas Jacquemet & Jean-Louis Rullière & Isabelle Vialle, 2008. "Monitoring optimistic agents," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00272928, HAL.
  • Handle: RePEc:hal:cesptp:halshs-00272928
    DOI: 10.1016/j.joep.2007.10.002
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00272928
    as

    Download full text from publisher

    File URL: https://halshs.archives-ouvertes.fr/halshs-00272928/document
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Jeremy Clark & Lana Friesen, 2009. "Overconfidence in Forecasts of Own Performance: An Experimental Study," Economic Journal, Royal Economic Society, vol. 119(534), pages 229-251, January.
    3. 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.
    4. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    5. J. Dominitz & C. F. Manski, "undated". "Using expectations data to study subjective income expectations," Institute for Research on Poverty Discussion Papers 1050-94, University of Wisconsin Institute for Research on Poverty.
    6. Das, Marcel & van Soest, Arthur, 1999. "A panel data model for subjective information on household income growth," Journal of Economic Behavior & Organization, Elsevier, vol. 40(4), pages 409-426, December.
    7. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
    8. Yaw Nyarko & Andrew Schotter, 2002. "An Experimental Study of Belief Learning Using Elicited Beliefs," Econometrica, Econometric Society, vol. 70(3), pages 971-1005, May.
    9. Santos-Pinto, Luís & Park, Young-Joon, 2004. "Forecasts of relative performance in tournaments: evidence from the field," MPRA Paper 3144, University Library of Munich, Germany, revised 22 Mar 2007.
    10. Karni, Edi, 1999. "Elicitation of Subjective Probabilities When Preferences Are State-Dependent," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 479-486, May.
    11. Antoni Bosch-Domènech & Joaquim Silvestre, 2006. "Risk aversion and embedding bias," Economics Working Papers 934, Department of Economics and Business, Universitat Pompeu Fabra.
    12. Tversky, Amos & Wakker, Peter, 1995. "Risk Attitudes and Decision Weights," Econometrica, Econometric Society, vol. 63(6), pages 1255-1280, November.
    13. 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.
    14. 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.
    15. Glenn W. Harrison & Eric Johnson & Melayne M. McInnes & E. Elisabet Rutström, 2005. "Risk Aversion and Incentive Effects: Comment," American Economic Review, American Economic Association, vol. 95(3), pages 897-901, June.
    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. Antonio Filippin & Paolo Crosetto, 2016. "A Reconsideration of Gender Differences in Risk Attitudes," Management Science, INFORMS, vol. 62(11), pages 3138-3160, November.
    2. Bigoni, Maria & Le Coq, Chloé & Fridolfsson, Sven-Olof & Spagnolo, Giancarlo, 2008. "Risk Aversion, Prospect Theory, and Strategic Risk in Law Enforcement: Evidence From an Antitrust Experiment," SSE/EFI Working Paper Series in Economics and Finance 696, Stockholm School of Economics.
    3. Yannick Gabuthy & Nicolas Jacquemet, 2013. "Analyse économique du droit et méthode expérimentale," Economie & Prévision, La Documentation Française, vol. 0(1), pages 121-145.
    4. repec:hal:wpaper:halshs-00746617 is not listed on IDEAS
    5. Antonio FILIPPIN & Paolo CROSETTO, 2014. "A Reconsideration of Gender Differences in Risk Attitudes," Departmental Working Papers 2014-01, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

    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:cesptp:halshs-00272928. 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: (CCSD). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.