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Discrete distributions when modeling the disability severity score of motor victims

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Author Info

  • Jean Philippe Boucher

    ()
    (Université du Québec à Montréal)

  • Miguel Santolino

    ()
    (Faculty of Economics, University of Barcelona)

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    Abstract

    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.

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    File URL: http://www.ub.edu/irea/working_papers/2010/201005.pdf
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    Bibliographic Info

    Paper provided by University of Barcelona, Research Institute of Applied Economics in its series IREA Working Papers with number 201005.

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    Length: 35 pages
    Date of creation: Feb 2010
    Date of revision: Feb 2010
    Handle: RePEc:ira:wpaper:201005

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    Postal: Tinent Coronel Valenzuela, Num 1-11 08034 Barcelona
    Web page: http://www.ub.edu/irea/
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    Related research

    Keywords: Hurdle discrete data models; zero-inflated distribution; generalized method of moments; personal injuries; disability rating scale. JEL classification:-;

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    Cited by:
    1. 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.

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