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Designing optimal bonus-malus systems from different types of claims

  • J. Pinquet

This paper provides bonus-malus systems which rest on different types of claims. Consistent estimators are given for some moments of themixing distribution of a multi equation Poisson model with random effects. Bonus-malus coefficients are then obtained with the expected value principle, and from linear credibility predictors. E,pirical results are presented for two types of claims, namely claims with or without liability with respect to a third party.

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Paper provided by THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise in its series THEMA Working Papers with number 98-19.

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Date of creation: 1998
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Handle: RePEc:ema:worpap:98-19
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  1. Dionne, G. & Maurice, M. & Pinquet, J. & Vanasse, C., 2001. "The Role of Memory in Long-Term Contracting with Moral Hazard: Empirical Evidence in Automobile Insurance," Ecole des Hautes Etudes Commerciales de Montreal- 01-05, Ecole des Hautes Etudes Commerciales de Montreal-Chaire de gestion des risques..
  2. Dionne, G. & Vanasse, C., 1988. "A Generalization Of Automobile Insurance Rating Models: The Negative Binomial Distribution With A Regression Component," Cahiers de recherche 8833, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  3. J. Pinquet, 1997. "Experience rating through heterogeneous models," THEMA Working Papers 97-25, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  4. J. Pinquet., 1997. "Testing heterogenity through consistent estimators," THEMA Working Papers 97-14, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
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