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Speed limits

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  • Jelnov, Artyom
  • Klunover, Doron

Abstract

We consider a model in which a regulator determines the level of an activity – which is harmful to society – beyond which an agent will pay a fixed fine. We show that the regulator adopts a random punishment scheme under certain conditions in order to minimize harm. The results may help to solve the puzzle of why vague enforcement policies are implemented by competent governments even when tough enforcement is possible and costless.

Suggested Citation

  • Jelnov, Artyom & Klunover, Doron, 2022. "Speed limits," Economics Letters, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:ecolet:v:213:y:2022:i:c:s0165176522000532
    DOI: 10.1016/j.econlet.2022.110368
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    References listed on IDEAS

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    1. Traxler, Christian & Westermaier, Franz G. & Wohlschlegel, Ansgar, 2018. "Bunching on the Autobahn? Speeding responses to a ‘notched’ penalty scheme," Journal of Public Economics, Elsevier, vol. 157(C), pages 78-94.
    2. Daron Acemoglu & Matthew O. Jackson, 2017. "Social Norms and the Enforcement of Laws," Journal of the European Economic Association, European Economic Association, vol. 15(2), pages 245-295.
    3. Shavell, Steven, 1987. "The Optimal Use of Nonmonetary Sanctions as a Deterrent," American Economic Review, American Economic Association, vol. 77(4), pages 584-592, September.
    4. Craswell, Richard & Calfee, John E, 1986. "Deterrence and Uncertain Legal Standards," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 2(2), pages 279-303, Fall.
    5. Gregory DeAngelo & Gary Charness, 2012. "Deterrence, expected cost, uncertainty and voting: Experimental evidence," Journal of Risk and Uncertainty, Springer, vol. 44(1), pages 73-100, February.
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    Keywords

    Law enforcement; Random strategy;

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