2014-10-14T06:48:16Z
2014-10-14T06:48:16Z
2011
2014-10-14T06:48:16Z
Hospital expenses are a major cost driver of healthcare systems in Europe, with motor injuries being the leading mechanism of hospitalizations. This paper investigates the injury characteristics which explain the hospitalization of victims of traffic accidents that took place in Spain. Using a motor insurance database with 16.081 observations a generalized Tobit regression model is applied to analyse the factors that influence both the likelihood of being admitted to hospital after a motor collision and the length of hospital stay in the event of admission. The consistency of Tobit estimates relies on the normality of perturbation terms. Here a semi-parametric regression model was fitted to test the consistency of estimates, concluding that a normal distribution of errors cannot be rejected. Among other results, it was found that older men with fractures and injuries located in the head and lower torso are more likely to be hospitalized after the collision, and that they also have a longer expected length of hospital recovery stay.
Document de treball
Anglès
Accidents de circulació; Víctimes d'accidents de circulació; Assegurances d'automòbils; Assistència hospitalària; Anàlisi de regressió; Traffic accidents; Traffic accident victims; Automobile insurance; Hospital care; Regression analysis
Universitat de Barcelona. Institut de Recerca en Economia Aplicada Regional i Pública
Reproducció del document publicat a: http://www.ub.edu/irea/working_papers/2011/201119.pdf
IREA – Working Papers, 2011, IR11/19
[WP E-IR11/19]
cc-by-nc-nd, (c) Santolino et al., 2011
http://creativecommons.org/licenses/by-nc-nd/3.0/