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Discrete distributions when modeling the disability severity score of motor victims


  • Jean Philippe Boucher

    () (Université du Québec à Montréal)

  • Miguel Santolino

    () (Faculty of Economics, University of Barcelona)


Many European states apply score systems to evaluate the disability severity of non-fatal motor victims under the law of third-party liability. The score is a non-negative integer with an upper bound at 100 that increases with severity. It may be automatically converted into financial terms and thus also reflects the compensation cost for disability. In this paper, discrete regression models are applied to analyze the factors that influence the disability severity score of victims. Standard and zero-altered regression models are compared from two perspectives: an interpretation of the data generating process and the level of statistical fit. The results have implications for traffic safety policy decisions aimed at reducing accident severity. An application using data from Spain is provided.

Suggested Citation

  • Jean Philippe Boucher & Miguel Santolino, 2010. "Discrete distributions when modeling the disability severity score of motor victims," IREA Working Papers 201005, University of Barcelona, Research Institute of Applied Economics, revised Feb 2010.
  • Handle: RePEc:ira:wpaper:201005

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    Cited by:

    1. Miguel Santolino & Magnus Söderberg, 2014. "Modelling appellate courts’ responses in motor injury disputes," European Journal of Law and Economics, Springer, vol. 38(3), pages 393-407, December.
    2. Miguel Santolino & Catalina Bolancé & Manuela Alcañiz, 2011. "Factors affecting hospital admission and recovery stay duration of in-patient motor victims in Spain," IREA Working Papers 201119, University of Barcelona, Research Institute of Applied Economics, revised Oct 2011.
    3. repec:eee:csdana:v:56:y:2012:i:12:p:3988-3999 is not listed on IDEAS
    4. repec:eee:csdana:v:112:y:2017:i:c:p:14-23 is not listed on IDEAS


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