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Traffic violations and insurance data – a note on the role of age, gender, annual mileage and vehicle brand

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  • Arvidsson, Sara

    () (VTI)

Abstract

Risky driving behavior is regarded as being one of the best predictors of traffic accidents. Traffic violations certainly signal risky driving behvior, but the analysis of the linkage of traffic violations, individual and vehicle characteristics and annual mileage has so far been hampered by the difficulty of gaining access to appropriate disaggregate data. The contriburion of this paper is that it sets out and explores a rich data set in order to study traffic violotions, including both accident-involved and accident-free individuals. The data set comprises att insurance poicies from Sweden's largest automobile insurance company covering several years, in total 9.3 million observations, as well as information on fines and convictions for traffic violations. This implies that the methodological issues associated with self-reported violotions and only accident-involved individuals are disused. The first purpose is to extablish the role of age and gender in traffic violations. The results support previous findings as well as confirms the association between owners of status brands and traffic violations. The main conclusion is that insurance data rpvides a vialble option when studying behavior, but it also raises new methodological issues.

Suggested Citation

  • Arvidsson, Sara, 2011. "Traffic violations and insurance data – a note on the role of age, gender, annual mileage and vehicle brand," Working papers in Transport Economics 2011:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
  • Handle: RePEc:hhs:ctswps:2011_003
    as

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    File URL: http://www.transportportal.se/SWoPEc/CTS2011-3.pdf
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    References listed on IDEAS

    as
    1. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Insurance; asymmetric information; accidents; traffic violations; automobile brand;

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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