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Working paper

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2010

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cc-by-nc-nd, (c) Boucher et al., 2010
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/58971

Discrete distributions when modeling the disability severity score of motor victims

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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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Víctimes d'accidents de circulació, Assegurances d'automòbils, Anàlisi de regressió, Correlació (Estadística), Incapacitat laboral

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Traffic accident victims, Automobile insurance, Regression analysis, Correlation (Statistics), Work disability

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Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))

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BOUCHER, Jean-Philippe and SANTOLINO, Miguel. Discrete distributions when modeling the disability severity score of motor victims. IREA – Working Papers. 2010. Vol.  IR10/05. ISSN 2014-1254. [consulted: 14 of October of 2026]. Available at: https://hdl.handle.net/2445/58971

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