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The Enforcement of Speeding: Should Fines be Higher for Repeated Offences?

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  • Eef Delhaye

Abstract

When the fine structures for speeding offences are observed, it is often found that fines depend on speeders’ offence history. In this paper we devise two fine structures: a uniform fine, and a fine which depends on offence history. If drivers differ in their expected accident costs, the literature prescribes that the fine for bad drivers should be higher than for good drivers. However, governments do not know the type of driver. We develop a model where the number of previous convictions gives information on the type of driver. We find that the optimal fine structure depends on the probability of detection, and on the strength of the relationship between the type of driver and having a record. We illustrate this by means of a numerical example and show that, for reasonable values for the probability of detection, a uniform fine is preferred.

Suggested Citation

  • Eef Delhaye, 2007. "The Enforcement of Speeding: Should Fines be Higher for Repeated Offences?," Transportation Planning and Technology, Taylor & Francis Journals, vol. 30(4), pages 355-375, May.
  • Handle: RePEc:taf:transp:v:30:y:2007:i:4:p:355-375
    DOI: 10.1080/03081060701461758
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    Cited by:

    1. Jason Bantjes & Sophia du Plessis & Ada Jansen & Krige Siebrits, 2021. "Better enforcement is essential, but may be inadequate: Findings of a survey on the factors affecting payment of speeding fines in Cape Town, South Africa," Working Papers 03/2021, Stellenbosch University, Department of Economics.
    2. Jason Bantjes & Sophia du Plessis & Ada Jansen & Krige Siebrits, 2021. "Better Enforcement Is Essential, but May Be Inadequate: Findings of a Survey on the Factors Affecting Payment of Speeding Fines in Cape Town, South Africa," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    3. Rousseau, Sandra, 2009. "The use of warnings in the presence of errors," International Review of Law and Economics, Elsevier, vol. 29(3), pages 191-201, September.

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