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Optimal fines and auditing when wealth is costly to observe

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  • Polinsky, A. Mitchell

Abstract

This article studies optimal fines when an offender's wealth is private information that can be obtained by the enforcement authority only after a costly audit. I derive the optimal fine for the underlying offense, the optimal fine for misrepresenting one's wealth level, and the optimal audit probability. I demonstrate that the optimal fine for misrepresenting wealth equals the fine for the offense divided by the audit probability, and therefore generally exceeds the fine for the offense. The optimal audit probability is positive, increases as the cost of an audit declines, and equals unity if the cost is sufficiently low. If the optimal audit probability is less than unity, there are some individuals who are capable of paying the fine for the offense who misrepresent their wealth levels. I also show that the optimal fine for the offense results in underdeterrence due to the cost of auditing wealth levels.
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  • Polinsky, A. Mitchell, 2006. "Optimal fines and auditing when wealth is costly to observe," International Review of Law and Economics, Elsevier, vol. 26(3), pages 323-335, September.
    • Handle: RePEc:eee:irlaec:v:26:y:2006:i:3:p:323-335
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    1. repec:bla:econom:v:65:y:1998:i:260:p:479-90 is not listed on IDEAS
    2. Polinsky, A. Mitchell, 2006. "The optimal use of fines and imprisonment when wealth is unobservable," Journal of Public Economics, Elsevier, vol. 90(4-5), pages 823-835, May.
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    7. Levitt, Steven D., 1997. "Incentive compatibility constraints as an explanation for the use of prison sentences instead of fines," International Review of Law and Economics, Elsevier, vol. 17(2), pages 179-192, June.
    8. Cyrus Chu, C. Y. & Qian, Yingyi, 1995. "Vicarious liability under a negligence rule," International Review of Law and Economics, Elsevier, vol. 15(3), pages 305-322, September.
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    Cited by:

    1. Kangoh Lee, 2017. "Norms and monetary fines as deterrents, and distributive effects," Journal of Economics, Springer, vol. 121(1), pages 1-27, May.
    2. A. Mitchell Polinsky & Steven Shavell, 2009. "Public Enforcement of Law," Chapters, in: Nuno Garoupa (ed.), Criminal Law and Economics, chapter 1, Edward Elgar Publishing.
    3. Christian Growitsch & Nicole Nulsch & Margarethe Rammerstorfer, 2012. "Preventing innovative cooperations: the legal exemptions unintended side effect," European Journal of Law and Economics, Springer, vol. 33(1), pages 1-22, February.
    4. Alfredo Burlando & Alberto Motta, 2007. "Self Reporting reduces corruption in law enforcement," "Marco Fanno" Working Papers 0063, Dipartimento di Scienze Economiche "Marco Fanno".
    5. Elena Kantorowicz-Reznichenko & Maximilian Kerk, 2020. "Day fines: asymmetric information and the secondary enforcement system," European Journal of Law and Economics, Springer, vol. 49(3), pages 339-360, June.
    6. Rodrigues-Neto, José A., 2014. "On corruption, bribes and the exchange of favors," Economic Modelling, Elsevier, vol. 38(C), pages 152-162.
    7. Polinsky, A. Mitchell, 2006. "The optimal use of fines and imprisonment when wealth is unobservable," Journal of Public Economics, Elsevier, vol. 90(4-5), pages 823-835, May.
    8. Hsiao-Chi Chen & Shi-Miin Liu, 2007. "Dynamic Incentive Contracts in Multiple Penalty Systems with No-commitment to Tenure-track Auditing," Journal of Economics, Springer, vol. 90(3), pages 255-294, April.
    9. Marcello Basili & Filippo Belloc & Simona Benedettini & Antonio Nicita, 2012. "Warning, Learning and Compliance: Evidence from Micro-data on Driving Behavior," Department of Economics University of Siena 639, Department of Economics, University of Siena.
    10. Rousseau, Sandra, 2009. "Empirical Analysis of Sanctions for Environmental Offenses," International Review of Environmental and Resource Economics, now publishers, vol. 3(3), pages 161-194, December.
    11. Jos� A. Rodrigues-Neto, 2009. "Sex, Money and Corruption," ANU Working Papers in Economics and Econometrics 2009-500, Australian National University, College of Business and Economics, School of Economics.

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