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Discrete distributions when modeling the disability severity score of motor victims
Boucher, Jean-Philippe; Santolino, Miguel
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.
Víctimes d'accidents de circulació
Assegurances d'automòbils
Anàlisi de regressió
Correlació (Estadística)
Incapacitat laboral
Traffic accident victims
Automobile insurance
Regression analysis
Correlation (Statistics)
Work disability
cc-by-nc-nd, (c) Boucher et al., 2010
Documento de trabajo
Universitat de Barcelona. Institut de Recerca en Economia Aplicada Regional i Pública

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