Abstract
In Part IV we presented a comprehensive model of a life history of a woman at risk of breast cancer (BC), in which relevant events such as diagnosis, treatment, recovery and recurrence were represented explicitly, and corresponding transition intensities were estimated. In this part, we study some applications to income protection insurance (IPI) business. We calculate premiums based either on genetic test results or more practically on a family history of BC. We then extend the model into an IPI market model by incorporating rates of insurance-buying behaviour, in order to estimate the possible costs of adverse selection, in terms of increased premiums, under various moratoria on the use of genetic information.
| Original language | English |
|---|---|
| Pages (from-to) | 267-291 |
| Number of pages | 25 |
| Journal | Scandinavian Actuarial Journal |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2011 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Breast cancer
- BRCA1 gene
- BRCA2 gene
- Family history
- Income protection insurance
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