Discrete distributions when modeling the disability severity score of motor victims
AbstractMany 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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Bibliographic InfoPaper provided by University of Barcelona, Research Institute of Applied Economics in its series IREA Working Papers with number 201005.
Length: 35 pages
Date of creation: Feb 2010
Date of revision: Feb 2010
Hurdle discrete data models; zero-inflated distribution; generalized method of moments; personal injuries; disability rating scale. JEL classification:-;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-03-06 (All new papers)
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- 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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