European Actuarial Journal

, Volume 1, Issue 1, pp 23–41

Risk classification in life insurance: methodology and case study

Authors

  • Susanne Gschlössl
    • Munich Reinsurance Company, Divisional Unit: Life
  • Pascal Schoenmaekers
    • Munich Reinsurance Company, Divisional Unit: Life
    • Institut de statistique, biostatistique et sciences actuarielles (ISBA), Université Catholique de Louvain
Original Research Paper

DOI: 10.1007/s13385-011-0028-y

Cite this article as:
Gschlössl, S., Schoenmaekers, P. & Denuit, M. Eur. Actuar. J. (2011) 1: 23. doi:10.1007/s13385-011-0028-y

Abstract

In this paper, we describe how Poisson regression analysis can be efficiently used to perform graduation of mortality rates in presence of exogenous information supporting an efficient underwriting process in life insurance business. After having justified the relevance of a Poisson likelihood for mortality data, we explain how categorical and continuous covariates can be included in the model. A case study based on a German insurance portfolio is proposed to illustrate the usefulness of the approach described in this paper.

Copyright information

© DAV / DGVFM 2011