Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/58971
Title: Discrete distributions when modeling the disability severity score of motor victims
Author: Boucher, Jean-Philippe
Santolino, Miguel
Keywords: 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
Issue Date: 2010
Publisher: Universitat de Barcelona. Institut de Recerca en Economia Aplicada Regional i Pública
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.
Note: Reproducció del document publicat a: http://www.ub.edu/irea/working_papers/2010/201005.pdf
It is part of: IREA – Working Papers, 2010, IR10/005
URI: http://hdl.handle.net/2445/58971
ISSN: 2014-1254
Appears in Collections:Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))

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