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Factors affecting hospital admission and recovery stay duration of in-patient motor victims in Spain

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  • Miguel Santolino

    ()
    (Faculty of Economics, University of Barcelona)

  • Catalina Bolancé

    ()
    (Faculty of Economics, University of Barcelona)

  • Manuela Alcañiz

    ()
    (Faculty of Economics, University of Barcelona)

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    Abstract

    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.

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    File URL: http://www.ub.edu/irea/working_papers/2011/201119.pdf
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    Bibliographic Info

    Paper provided by University of Barcelona, Research Institute of Applied Economics in its series IREA Working Papers with number 201119.

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    Length: 27 pages
    Date of creation: Oct 2011
    Date of revision: Oct 2011
    Handle: RePEc:ira:wpaper:201119

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    Postal: Tinent Coronel Valenzuela, Num 1-11 08034 Barcelona
    Web page: http://www.ub.edu/irea/
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    Related research

    Keywords: Body injuries; Heckit estimator; semi-parametric estimator; Hausman test JEL classification:C24; I10;

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