IDEAS home Printed from https://ideas.repec.org/a/eee/gamebe/v137y2023icp1-22.html
   My bibliography  Save this article

The option value of record-based sanctions

Author

Listed:
  • Leshem, Shmuel
  • Tabbach, Avraham

Abstract

This paper offers an option value-based rationale for the consideration of non-compliance record in punishment. We study compliance decisions of a population of individuals who live for two periods, where each individual's non-compliance benefits are random and independent over time. Because non-uniform sanction schemes produce different option values to current-period compliance and non-compliance, an optimal sanction scheme trades off present and future compliance and depends on the overall sanction and the distribution of non-compliance benefits. Escalating sanctions maximize compliance for a small overall sanction and a large mass of high non-compliance benefits.

Suggested Citation

  • Leshem, Shmuel & Tabbach, Avraham, 2023. "The option value of record-based sanctions," Games and Economic Behavior, Elsevier, vol. 137(C), pages 1-22.
  • Handle: RePEc:eee:gamebe:v:137:y:2023:i:c:p:1-22
    DOI: 10.1016/j.geb.2022.10.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S089982562200152X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.geb.2022.10.014?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Miceli Thomas J. & Bucci Catherine, 2005. "A Simple Theory of Increasing Penalties for Repeat Offenders," Review of Law & Economics, De Gruyter, vol. 1(1), pages 71-80, April.
    2. Mitchell Polinsky, A. & Rubinfeld, Daniel L., 1991. "A model of optimal fines for repeat offenders," Journal of Public Economics, Elsevier, vol. 46(3), pages 291-306, December.
    3. Richard A. Lambert, 1983. "Long-Term Contracts and Moral Hazard," Bell Journal of Economics, The RAND Corporation, vol. 14(2), pages 441-452, Autumn.
    4. Nieken, Petra & Schmitz, Patrick W., 2012. "Repeated moral hazard and contracts with memory: A laboratory experiment," Games and Economic Behavior, Elsevier, vol. 75(2), pages 1000-1008.
    5. Harrington, Winston, 1988. "Enforcement leverage when penalties are restricted," Journal of Public Economics, Elsevier, vol. 37(1), pages 29-53, October.
    6. Rasmusen, Eric, 1996. "Stigma and Self-Fulfilling Expectations of Criminality," Journal of Law and Economics, University of Chicago Press, vol. 39(2), pages 519-543, October.
    7. Chu, C. Y. Cyrus & Hu, Sheng-cheng & Huang, Ting-yuan, 2000. "Punishing repeat offenders more severely," International Review of Law and Economics, Elsevier, vol. 20(1), pages 127-140, March.
    8. Mungan, Murat C., 2014. "A behavioral justification for escalating punishment schemes," International Review of Law and Economics, Elsevier, vol. 37(C), pages 189-197.
    9. Susanne Ohlendorf & Patrick W. Schmitz, 2012. "Repeated Moral Hazard And Contracts With Memory: The Case Of Risk‐Neutrality," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(2), pages 433-452, May.
    10. Polinsky, A. Mitchell & Shavell, Steven, 1998. "On offense history and the theory of deterrence," International Review of Law and Economics, Elsevier, vol. 18(3), pages 305-324, September.
    11. Müller, Daniel & Schmitz, Patrick W., 2015. "Overdeterrence of repeat offenders when penalties for first-time offenders are restricted," Economics Letters, Elsevier, vol. 129(C), pages 116-120.
    12. Burnovski, Moshe & Safra, Zvi, 1994. "Deterrence effects of sequential punishment policies: Should repeat offenders be more severely punished?," International Review of Law and Economics, Elsevier, vol. 14(3), pages 341-350, September.
    13. Jan Eeckhout & Nicola Persico & Petra E. Todd, 2010. "A Theory of Optimal Random Crackdowns," American Economic Review, American Economic Association, vol. 100(3), pages 1104-1135, June.
    14. BRYAN C. McCANNON, 2009. "Differentiating Between First And Repeat Offenses," Contemporary Economic Policy, Western Economic Association International, vol. 27(1), pages 76-85, January.
    15. Rogerson, William P, 1985. "Repeated Moral Hazard," Econometrica, Econometric Society, vol. 53(1), pages 69-76, January.
    16. Thomas J. Miceli, 2013. "Escalating Penalties for Repeat Offenders: Why are they So Hard to Explain?," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 169(4), pages 587-604, December.
    17. Petrich, Damon M. & Pratt, Travis C. & Jonson, Cheryl Lero & Cullen, Francis T., 2020. "A Revolving Door? A Meta-Analysis of the Impact of Custodial Sanctions on Reoffending," SocArXiv f6uwm, Center for Open Science.
    18. Evgenia Motchenkova, 2014. "Cost minimizing sequential punishment policies for repeat offenders," Applied Economics Letters, Taylor & Francis Journals, vol. 21(5), pages 360-365, March.
    19. Endres Alfred & Rundshagen Bianca, 2016. "Optimal Penalties for Repeat Offenders – The Role of Offence History," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 16(2), pages 545-578, June.
    20. Lando, Henrik & Shavell, Steven, 2004. "The advantage of focusing law enforcement effort," International Review of Law and Economics, Elsevier, vol. 24(2), pages 209-218, June.
    21. Edward P. Lazear, 2006. "Speeding, Terrorism, and Teaching to the Test," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 1029-1061.
    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. Schmitz, Patrick W., 2023. "Incentivizing research with (un)conditional teaching duties: Punishment or rent extraction?," Economics Letters, Elsevier, vol. 224(C).

    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. Lisa R. Anderson & Gregory DeAngelo & Winand Emons & Beth Freeborn & Hannes Lang, 2017. "Penalty Structures And Deterrence In A Two-Stage Model: Experimental Evidence," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1833-1867, October.
    2. Wolfgang Eggert & Steffen Minter & Maximilian Stephan & Handirk Ungern-Sternberg, 2017. "Sanctions for repeat offenders: a question of wealth?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(5), pages 467-482, November.
    3. Stan Miles & Derek Pyne, 2015. "Deterring repeat offenders with escalating penalty schedules: a Bayesian approach," Economics of Governance, Springer, vol. 16(3), pages 229-250, August.
    4. Allard van der Made, 2019. "Graduated Punishments in Public Good Games," Southern Economic Journal, John Wiley & Sons, vol. 85(3), pages 939-959, January.
    5. 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.
    6. Emons, Winand, 2007. "Escalating penalties for repeat offenders," International Review of Law and Economics, Elsevier, vol. 27(2), pages 170-178.
    7. Müller, Daniel & Schmitz, Patrick W., 2015. "Overdeterrence of repeat offenders when penalties for first-time offenders are restricted," Economics Letters, Elsevier, vol. 129(C), pages 116-120.
    8. Buehler, Stefan & Eschenbaum, Nicolas, 2020. "Explaining escalating prices and fines: A unified approach," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 153-164.
    9. Thomas J. Miceli, 2012. "Escalating Interest in Escalating Penalties," Working papers 2012-08, University of Connecticut, Department of Economics.
    10. Shimshack, Jay P. & Ward, Michael B., 2022. "Costly sanctions and the treatment of frequent violators in regulatory settings," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    11. Alfred Endres & Bianca Rundshagen, 2012. "Escalating penalties: a supergame approach," Economics of Governance, Springer, vol. 13(1), pages 29-49, March.
    12. Baik, Kyung Hwan & Kim, In-Gyu, 2001. "Optimal punishment when individuals may learn deviant values," International Review of Law and Economics, Elsevier, vol. 21(3), pages 271-285, September.
    13. Mungan Murat C., 2013. "Optimal Warning Strategies: Punishment Ought Not to Be Inflicted Where the Penal Provision Is Not Properly Conveyed," Review of Law & Economics, De Gruyter, vol. 9(3), pages 303-339, November.
    14. Mungan, Murat C., 2014. "A behavioral justification for escalating punishment schemes," International Review of Law and Economics, Elsevier, vol. 37(C), pages 189-197.
    15. Mungan, Murat C., 2010. "Repeat offenders: If they learn, we punish them more severely," International Review of Law and Economics, Elsevier, vol. 30(2), pages 173-177, June.
    16. Thomas J. Miceli & Kathleen Segerson & Dietrich Earnhart, 2022. "The role of experience in deterring crime: A theory of specific versus general deterrence," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1833-1853, October.
    17. Solan, Eilon & Zhao, Chang, 2021. "Dynamic monitoring under resource constraints," Games and Economic Behavior, Elsevier, vol. 129(C), pages 476-491.
    18. Tim Friehe, 2009. "Escalating penalties for repeat offenders: a note on the role of information," Journal of Economics, Springer, vol. 97(2), pages 165-183, June.
    19. Funk, Patricia, 2004. "On the effective use of stigma as a crime-deterrent," European Economic Review, Elsevier, vol. 48(4), pages 715-728, August.
    20. 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.

    More about this item

    Keywords

    Graduated sanctions; Option value;

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

    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:eee:gamebe:v:137:y:2023:i:c:p:1-22. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622836 .

    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.