IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_4698.html
   My bibliography  Save this paper

Black Sheep or Scapegoats? Implementable Monitoring Policies under Unobservable Levels of Misbehavior

Author

Listed:
  • Berno Buechel
  • Gerd Muehlheusser

Abstract

An authority delegates a monitoring task to an agent. It can only observe the number of detected offenders, but neither the monitoring intensity chosen by the agent nor the resulting level of misbehavior. We provide a necessary and sufficient condition for the implementability of monitoring policies. Typically, several monitoring intensities give rise to the same number of detected offenses, and only the minimum of these can be implemented. In equilibrium, a large fraction of potential offenders cannot be deterred.

Suggested Citation

  • Berno Buechel & Gerd Muehlheusser, 2014. "Black Sheep or Scapegoats? Implementable Monitoring Policies under Unobservable Levels of Misbehavior," CESifo Working Paper Series 4698, CESifo.
  • Handle: RePEc:ces:ceswps:_4698
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp4698.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Arlen, Jennifer, 1994. "The Potentially Perverse Effects of Corporate Criminal Liability," The Journal of Legal Studies, University of Chicago Press, vol. 23(2), pages 832-867, June.
    2. Gneezy, Uri & Rustichini, Aldo, 2000. "A Fine is a Price," The Journal of Legal Studies, University of Chicago Press, vol. 29(1), pages 1-17, January.
    3. 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.
    4. Frey, Bruno S & Oberholzer-Gee, Felix, 1997. "The Cost of Price Incentives: An Empirical Analysis of Motivation Crowding-Out," American Economic Review, American Economic Association, vol. 87(4), pages 746-755, September.
    5. Besanko, David & Spulber, Daniel F, 1989. "Delegated Law Enforcement and Noncooperative Behavior," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 5(1), pages 25-52, Spring.
    6. Uri Gneezy & Stephan Meier & Pedro Rey-Biel, 2011. "When and Why Incentives (Don't) Work to Modify Behavior," Journal of Economic Perspectives, American Economic Association, vol. 25(4), pages 191-210, Fall.
    7. Gary S. Becker & George J. Stigler, 1974. "Law Enforcement, Malfeasance, and Compensation of Enforcers," The Journal of Legal Studies, University of Chicago Press, vol. 3(1), pages 1-18, January.
    8. Coşgel, Metin M. & Etkes, Haggay & Miceli, Thomas J., 2011. "Private law enforcement, fine sharing, and tax collection: Theory and historical evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 80(3), pages 546-552.
    9. A. Mitchell Polinsky & Steven Shavell (ed.), 2007. "Handbook of Law and Economics," Handbook of Law and Economics, Elsevier, edition 1, volume 2, number 2.
    10. Ichino, Andrea & Muehlheusser, Gerd, 2008. "How often should you open the door?: Optimal monitoring to screen heterogeneous agents," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 820-831, September.
    11. George J. Stigler, 1974. "The Optimum Enforcement of Laws," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 55-67, National Bureau of Economic Research, Inc.
    12. Feess, Eberhard & Wohlschlegel, Ansgar, 2009. "Why higher punishment may reduce deterrence," Economics Letters, Elsevier, vol. 104(2), pages 69-71, August.
    13. Kugler, Maurice & Verdier, Thierry & Zenou, Yves, 2005. "Organized crime, corruption and punishment," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1639-1663, September.
    14. Rafael Di Tella & Ernesto Schargrodsky, 2004. "Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack," American Economic Review, American Economic Association, vol. 94(1), pages 115-133, March.
    15. Ryan Bubb & Patrick L. Warren, 2014. "Optimal Agency Bias and Regulatory Review," The Journal of Legal Studies, University of Chicago Press, vol. 43(1), pages 95-135.
    16. Levitt, Steven D, 1997. "Using Electoral Cycles in Police Hiring to Estimate the Effect of Police on Crime," American Economic Review, American Economic Association, vol. 87(3), pages 270-290, June.
    17. Bruno S. Frey & Reto Jegen, 2001. "Motivation Crowding Theory," Journal of Economic Surveys, Wiley Blackwell, vol. 15(5), pages 589-611, December.
    18. George Tsebelis, 1990. "Penalty has no Impact on Crime:," Rationality and Society, , vol. 2(3), pages 255-286, July.
    19. Nussim, Jacob & Tabbach, Avraham D., 2009. "Deterrence and avoidance," International Review of Law and Economics, Elsevier, vol. 29(4), pages 314-323, December.
    20. Nuno Garoupa & Daniel Klerman, 2002. "Optimal Law Enforcement with a Rent-Seeking Government," American Law and Economics Review, American Law and Economics Association, vol. 4(1), pages 116-140, January.
    21. James Andreoni, 1991. "Reasonable Doubt and the Optimal Magnitude of Fines: Should the Penalty Fit the Crime?," RAND Journal of Economics, The RAND Corporation, vol. 22(3), pages 385-395, Autumn.
    22. A. Mitchell Polinsky & Steven Shavell (ed.), 2007. "Handbook of Law and Economics," Handbook of Law and Economics, Elsevier, edition 1, volume 1, number 1.
    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. Buechel, Berno & Feess, Eberhard & Muehlheusser, Gerd, 2020. "Optimal law enforcement with sophisticated and naïve offenders," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 836-857.

    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. Yahagi, Ken, 2021. "Law enforcement with motivated agents," International Review of Law and Economics, Elsevier, vol. 66(C).
    2. Zhiyong (John) Liu & Zhewei Wang & Zhendong Yin, 2022. "When is duplication of effort a good thing in law enforcement?," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(4), pages 682-708, August.
    3. Thomas J. Miceli & Murat C. Mungan, 2021. "The limit of law: factors influencing the decision to make harmful acts illegal," Economics of Governance, Springer, vol. 22(3), pages 293-307, September.
    4. Buechel, Berno & Feess, Eberhard & Muehlheusser, Gerd, 2020. "Optimal law enforcement with sophisticated and naïve offenders," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 836-857.
    5. Eide, Erling & Rubin, Paul H. & Shepherd, Joanna M., 2006. "Economics of Crime," Foundations and Trends(R) in Microeconomics, now publishers, vol. 2(3), pages 205-279, December.
    6. A. Mitchell Polinsky & Steven Shavell, 2009. "Public Enforcement of Law," Chapters, in: Nuno Garoupa (ed.), Criminal Law and Economics, chapter 1, Edward Elgar Publishing.
    7. Buehler, Stefan & Nicolas Eschenbaum, 2018. "Explaining Escalating Fines and Prices: The Curse of Positive Selection," Economics Working Paper Series 1807, University of St. Gallen, School of Economics and Political Science.
    8. Parikshit Ghosh, 2009. "Making the Punishment Fit the Crime or Taliban Justice? Optimal Penalties Without Commitment," Working papers 175, Centre for Development Economics, Delhi School of Economics.
    9. Coşgel, Metin M. & Etkes, Haggay & Miceli, Thomas J., 2011. "Private law enforcement, fine sharing, and tax collection: Theory and historical evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 80(3), pages 546-552.
    10. DeAngelo, Gregory, 2012. "Making space for crime: A spatial analysis of criminal competition," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 42-51.
    11. Dhami, Sanjit & al-Nowaihi, Ali, 2013. "An extension of the Becker proposition to non-expected utility theory," Mathematical Social Sciences, Elsevier, vol. 65(1), pages 10-20.
    12. 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.
    13. Polinsky, A. Mitchell & Shavell, Steven, 2007. "The Theory of Public Enforcement of Law," Handbook of Law and Economics, in: A. Mitchell Polinsky & Steven Shavell (ed.), Handbook of Law and Economics, edition 1, volume 1, chapter 6, pages 403-454, Elsevier.
    14. Thomas J. Miceli, 2021. "Should Offenders’ Gains Be Counted? On Efficient Crimes and Unjust Laws," Working papers 2021-02, University of Connecticut, Department of Economics.
    15. Rimawan Pradiptyo, 2015. "A Certain Uncertainty; Assessment of Court Decisions in Tackling Corruption in Indonesia," World Scientific Book Chapters, in: R N Ghosh & M A B Siddique (ed.), CORRUPTION, GOOD GOVERNANCE and ECONOMIC DEVELOPMENT Contemporary Analysis and Case Studies, chapter 10, pages 167-215, World Scientific Publishing Co. Pte. Ltd..
    16. Hannah Schildberg-Hörisch & Christina Strassmair, 2012. "An Experimental Test of the Deterrence Hypothesis," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 28(3), pages 447-459, August.
    17. Leshem Shmuel & Tabbach Avraham D., 2012. "Commitment versus Flexibility in Enforcement Games," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 12(1), pages 1-42, May.
    18. Cardak, Buly A & Neelim, Ananta & Vecci, Joseph & Wu, Kevin, 2017. "Would I lie to you? Strategic deception in the face of uncertain penalties," Working Papers in Economics 689, University of Gothenburg, Department of Economics.
    19. Antonio Acconcia & Marcello D'Amato & Riccardo Martina, 2003. "Corruption and Tax Evasion with Competitive Bribes," CSEF Working Papers 112, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    20. Menusch Khadjavi, 2018. "Deterrence works for criminals," European Journal of Law and Economics, Springer, vol. 46(1), pages 165-178, August.

    More about this item

    Keywords

    monitoring; deterrence; unobservable misbehavior; victimless crime; doping; law & economics;
    All these keywords.

    JEL classification:

    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption

    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:ces:ceswps:_4698. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    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.