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Frequent probabilistic punishment in law enforcement

Author

Listed:
  • Orit Perry
  • Ido Erev
  • Ernan Haruvy

Abstract

Timing and frequency of punishment are critical elements in law enforcement. Previous studies suggest the superiority of immediate punishment schemes over delayed punishment, as well as the importance of frequent punishment. Yet law enforcement schemes which utilize both frequent and immediate punishment are often cost prohibitive. In this work, we propose the “bad lottery immediate punishment” as an effective substitute to immediate punishment. This is a punishment mechanism that signals immediately to an offender that his violation has been spotted, but the actual penalty is delayed and probabilistic. We discuss implications in law enforcement, where probabilistic punishment is potentially more cost effective. Copyright Springer-Verlag Berlin Heidelberg 2002

Suggested Citation

  • Orit Perry & Ido Erev & Ernan Haruvy, 2002. "Frequent probabilistic punishment in law enforcement," Economics of Governance, Springer, vol. 3(1), pages 71-86, March.
    • Handle: RePEc:spr:ecogov:v:3:y:2002:i:1:p:71-86
    DOI: 10.1007/s101010100033
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    Citations

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    Cited by:

    1. Wafa Elias, 2021. "The Effectiveness of Different Incentive Programs to Encourage Safe Driving," Sustainability, MDPI, vol. 13(6), pages 1-14, March.
    2. Nuno Garoupa, 2003. "Behavioral Economic Analysis of Crime: A Critical Review," European Journal of Law and Economics, Springer, vol. 15(1), pages 5-15, January.
    3. Yanqun Yang & Linwei Wang & Said M. Easa & Xinyi Zheng, 2022. "Analysis of Electric Bicycle Riders’ Use of Mobile Phones While Riding on Campus," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
    4. Matteo Migheli & Margherita Saraceno, 2023. "On the propensity to settle or litigate in laboratory disputes," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(2), pages 615-642, July.

    More about this item

    Keywords

    Key words: law enforcement; reinforcement learning; JEL Classification: C91; D78; K42;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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