IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2009.06470.html
   My bibliography  Save this paper

Crime Aggregation, Deterrence, and Witness Credibility

Author

Listed:
  • Harry Pei
  • Bruno Strulovici

Abstract

We present a model for the equilibrium frequency of offenses and the informativeness of witness reports when potential offenders can commit multiple offenses and witnesses are subject to retaliation risk and idiosyncratic reporting preferences. We compare two ways of handling multiple accusations discussed in legal scholarship: (i) When convictions are based on the probability that the defendant committed at least one, unspecified offense and entail a severe punishment, potential offenders induce negative correlation in witnesses' private information, which leads to uninformative reports, information aggregation failures, and frequent offenses in equilibrium. Moreover, lowering the punishment in case of conviction can improve deterrence and the informativeness of witnesses' reports. (ii) When accusations are treated separately to adjudicate guilt and conviction entails a severe punishment, witness reports are highly informative and offenses are infrequent in equilibrium.

Suggested Citation

  • Harry Pei & Bruno Strulovici, 2020. "Crime Aggregation, Deterrence, and Witness Credibility," Papers 2009.06470, arXiv.org.
  • Handle: RePEc:arx:papers:2009.06470
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2009.06470
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lones Smith & Peter Sorensen, 2000. "Pathological Outcomes of Observational Learning," Econometrica, Econometric Society, vol. 68(2), pages 371-398, March.
    2. Chamberlin, John, 1974. "Provision of Collective Goods As a Function of Group Size," American Political Science Review, Cambridge University Press, vol. 68(2), pages 707-716, June.
    3. Marco Battaglini, 2002. "Multiple Referrals and Multidimensional Cheap Talk," Econometrica, Econometric Society, vol. 70(4), pages 1379-1401, July.
    4. Austen-Smith, David & Banks, Jeffrey S., 1996. "Information Aggregation, Rationality, and the Condorcet Jury Theorem," American Political Science Review, Cambridge University Press, vol. 90(1), pages 34-45, March.
    5. Ing-Haw Cheng & Alice Hsiaw, 2022. "Reporting Sexual Misconduct in the #MeToo Era," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 761-803, November.
    6. 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.
    7. Will Dobbie & Jacob Goldin & Crystal S. Yang, 2018. "The Effects of Pretrial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges," American Economic Review, American Economic Association, vol. 108(2), pages 201-240, February.
    8. Reinganum, Jennifer F, 1988. "Plea Bargaining and Prosecutorial Discretion," American Economic Review, American Economic Association, vol. 78(4), pages 713-728, September.
    9. John Morgan & Phillip C. Stocken, 2008. "Information Aggregation in Polls," American Economic Review, American Economic Association, vol. 98(3), pages 864-896, June.
    10. Bruno Strulovici, 2020. "Can Society Function Without Ethical Agents? An Informational Perspective," Papers 2003.05441, arXiv.org.
    11. Harris, John R, 1970. "On the Economics of Law and Order," Journal of Political Economy, University of Chicago Press, vol. 78(1), pages 165-174, Jan.-Feb..
    12. Frances Xu Lee & Wing Suen, 2020. "Credibility of Crime Allegations," American Economic Journal: Microeconomics, American Economic Association, vol. 12(1), pages 220-259, February.
    13. Peter Sorensen & Marco Ottaviani, 2000. "Herd Behavior and Investment: Comment," American Economic Review, American Economic Association, vol. 90(3), pages 695-704, June.
    14. Baliga, Sandeep & Bueno De Mesquita, Ethan & Wolitzky, Alexander, 2020. "Deterrence with Imperfect Attribution," American Political Science Review, Cambridge University Press, vol. 114(4), pages 1155-1178, November.
    15. Schmitz, Patrick W. & Tröger, Thomas, 2012. "The (sub-)optimality of the majority rule," Games and Economic Behavior, Elsevier, vol. 74(2), pages 651-665.
    16. William M. Landes, 1974. "An Economic Analysis of the Courts," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 164-214, National Bureau of Economic Research, Inc.
    17. , & ,, 2008. "Multi-sender cheap talk with restricted state spaces," Theoretical Economics, Econometric Society, vol. 3(1), March.
    18. Bruno Strulovici, 2010. "Learning While Voting: Determinants of Collective Experimentation," Econometrica, Econometric Society, vol. 78(3), pages 933-971, May.
    19. Sourav Bhattacharya, 2013. "Preference Monotonicity and Information Aggregation in Elections," Econometrica, Econometric Society, vol. 81(3), pages 1229-1247, May.
    20. Louis Kaplow, 2011. "On the Optimal Burden of Proof," Journal of Political Economy, University of Chicago Press, vol. 119(6), pages 1104-1140.
    21. Marco Battaglini, 2017. "Public Protests and Policy Making," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(1), pages 485-549.
    22. Miceli, Thomas J., 1991. "Optimal criminal procedure: Fairness and deterrence," International Review of Law and Economics, Elsevier, vol. 11(1), pages 3-10, May.
    23. Grossman, Gene M & Katz, Michael L, 1983. "Plea Bargaining and Social Welfare," American Economic Review, American Economic Association, vol. 73(4), pages 749-757, September.
    24. Nicola Persico, 2004. "Committee Design with Endogenous Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(1), pages 165-191.
    25. Schauer, Frederick & Zeckhauser, Richard, 1996. "On the Degree of Confidence for Adverse Decisions," The Journal of Legal Studies, University of Chicago Press, vol. 25(1), pages 27-52, January.
    26. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    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. Daniel Barron & Yingni Guo, 0. "The Use and Misuse of Coordinated Punishments," The Quarterly Journal of Economics, Oxford University Press, vol. 136(1), pages 471-504.

    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. Marie Obidzinski & Yves Oytana, 2020. "Presumption of Innocence and Deterrence," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 176(2), pages 377-412.
    2. Yacov Tsur, 2017. "Bounding reasonable doubt: implications for plea bargaining," European Journal of Law and Economics, Springer, vol. 44(2), pages 197-216, October.
    3. 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.
    4. 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.
    5. Feddersen, Timothy & Gradwohl, Ronen, 2020. "Decentralized advice," European Journal of Political Economy, Elsevier, vol. 63(C).
    6. Gordon Rausser & Leo Simon & Jinhua Zhao, 2015. "Rational exaggeration and counter-exaggeration in information aggregation games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 59(1), pages 109-146, May.
    7. Brishti Guha, 2024. "Plea bargaining when juror effort is costly," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 78(3), pages 945-977, November.
    8. Antony Millner & Hélène Ollivier, 2016. "Beliefs, Politics, and Environmental Policy," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(2), pages 226-244.
    9. Ginzburg, Boris & Guerra, José-Alberto, 2019. "When collective ignorance is bliss: Theory and experiment on voting for learning," Journal of Public Economics, Elsevier, vol. 169(C), pages 52-64.
    10. Garoupa, Nuno & Stephen, Frank, 2003. "A Note on Optimal Law Enforcement with Legal Aid," CEPR Discussion Papers 4113, C.E.P.R. Discussion Papers.
    11. Douglas Savitsky, 2012. "Is plea bargaining a rational choice? Plea bargaining as an engine of racial stratification and overcrowding in the United States prison system," Rationality and Society, , vol. 24(2), pages 131-167, May.
    12. S. Ali & Navin Kartik, 2012. "Herding with collective preferences," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 51(3), pages 601-626, November.
    13. Ali, S. Nageeb & Bohren, J. Aislinn, 2019. "Should straw polls be banned?," Games and Economic Behavior, Elsevier, vol. 118(C), pages 284-294.
    14. Alessandro Ispano & Péter Vida, 2020. "Custodial Interrogations," THEMA Working Papers 2020-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    15. Andrew F. Daughety & Reinganum F. Reinganum, 2014. "Settlement and Trial: Selected Analyses of the Bargaining Environment," Vanderbilt University Department of Economics Working Papers 14-00005, Vanderbilt University Department of Economics.
    16. 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.
    17. , & , & ,, 2014. "Dynamics of information exchange in endogenous social networks," Theoretical Economics, Econometric Society, vol. 9(1), January.
    18. Lando Henrik, 2009. "Prevention of Crime and the Optimal Standard of Proof in Criminal Law," Review of Law & Economics, De Gruyter, vol. 5(1), pages 33-52, January.
    19. Antonio Nicita & Matteo Rizzolli, 2014. "In Dubio Pro Reo. Behavioral Explanations of Pro-defendant Bias in Procedures," CESifo Economic Studies, CESifo Group, vol. 60(3), pages 554-580.
    20. Kobayashi, Bruce H. & Lott, John Jr., 1996. "In defense of criminal defense expenditures and plea bargaining," International Review of Law and Economics, Elsevier, vol. 16(4), pages 397-416, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2009.06470. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.