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Semi-markov modeling for cancer insurance

Author

Listed:
  • Soetewey, Antoine

    (Université catholique de Louvain, LIDAM/ISBA, Belgium)

  • Legrand, Catherine

    (Université catholique de Louvain, LIDAM/ISBA, Belgium)

  • Denuit, Michel

    (Université catholique de Louvain, LIDAM/ISBA, Belgium)

  • Silversmit, Geert

Abstract

Advancements in medicine and biostatistics have already resulted in a better access to insurance for people diagnosed with cancer. This materializes into the “right to be forgotten” adopted in several EU member states, granting access to insurance after a waiting period of at most 10 years starting at the end of the successful therapeutic protocol. This paper concentrates on insurance covers on a market where such a right has been implemented. Stand-alone products are considered, as well as guarantees included as a rider in an existing package. The cost of offering standard premium rates to all applicants in mortgage insurance related to property loans is also evaluated. The 3-state (healthy–ill–dead) Semi-Markov hierarchical model developed in Denuit et al. [4] for long-term care insurance is adopted here for actuarial calculations. Semi-Markov transition intensities are estimated from cancer cases recorded by the Belgian Cancer Registry. The obtained results suggest that a new offer could develop, targeting the particular needs of cancer patients.

Suggested Citation

  • Soetewey, Antoine & Legrand, Catherine & Denuit, Michel & Silversmit, Geert, 2022. "Semi-markov modeling for cancer insurance," LIDAM Reprints ISBA 2022019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Handle: RePEc:aiz:louvar:2022019
    DOI: https://doi.org/10.1007/s13385-022-00308-2
    Note: In: European Actuarial Journal, 2022
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    Cited by:

    1. Soetewey, Antoine & Legrand, Catherine & Denuit, Michel & Silversmit, Geert, 2023. "Right to be forgotten for mortgage insurance issued to cancer survivors: critical assessment and new proposal," LIDAM Discussion Papers ISBA 2023035, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Soetewey, Antoine & Legrand, Catherine & Denuit, Michel & Silversmit, Geert, 2023. "Health indices for disease incidence and duration in the Semi-Markov setting," LIDAM Discussion Papers ISBA 2023013, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

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