Une étude économétrique du nombre d'accidents dans le secteur de l'assurance automobile
The estimation of the number of accidents is one of the most important purposes in the research field of the auto insurance industry. Count data econometric models are usually employed in this process, in particular the traditional Poisson and the negative binomial specifications. Nevertheless, zero-inflated models could be more appropriated solutions. The main objective of this paper is to show the most significant factors in the accidents that are declared by the policyholders. We estimate its number using the data provided by a Spanish private insurance company throughout the different models we have previously pointed out, comparing the obtained results.
Volume (Year): 49 (2006)
Issue (Month): 2 ()
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- Alma Cohen, 2005. "Asymmetric Information and Learning: Evidence from the Automobile Insurance Market," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 197-207, May. Full references (including those not matched with items on IDEAS)
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