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Discrete distributions when modeling the disability severity score of motor victims

Author

Listed:
  • Jean Philippe Boucher

    (Université du Québec à Montréal)

  • Miguel Santolino

    (Faculty of Economics, University of Barcelona)

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.

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

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    Cited by:

    1. Miguel Santolino & Magnus Söderberg, 2011. "The influence of decision-maker effort and case complexity on appealed rulings subject to multi-categorical selection," IREA Working Papers 201115, University of Barcelona, Research Institute of Applied Economics, revised Sep 2011.
    2. Artis, Michael & Moreno, Rosina & Miguelez, Ernest, 2009. "Assessing agglomeration economies in a spatial framework with endogenous regressors," CEPR Discussion Papers 7267, C.E.P.R. Discussion Papers.
    3. Juan Luis Jiménez & Jordi Perdiguero & Ancor Suárez, 2011. "Debating as a classroom tool for adapting learning outcomes to the European higher education area," IREA Working Papers 201109, University of Barcelona, Research Institute of Applied Economics, revised Jun 2011.
    4. 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.
    5. Bermúdez, Lluís & Karlis, Dimitris, 2012. "A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 3988-3999.
    6. 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.
    7. Mercedes Ayuso & Lluís Bermúdez & Miguel Santolino, 2011. "“Influence of the claimant’s behavioural features on motor compensation outcomes”," IREA Working Papers 201108, University of Barcelona, Research Institute of Applied Economics, revised Jun 2011.
    8. Bermúdez, Lluís & Karlis, Dimitris & Santolino, Miguel, 2017. "A finite mixture of multiple discrete distributions for modelling heaped count data," Computational Statistics & Data Analysis, Elsevier, vol. 112(C), pages 14-23.
    9. Jungyeol Hong & Reuben Tamakloe & Dongjoo Park, 2019. "A Comprehensive Analysis of Multi-Vehicle Crashes on Expressways: A Double Hurdle Approach," Sustainability, MDPI, vol. 11(10), pages 1-22, May.

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