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Modeling the Impact of Genetics on Insurance

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  • Angus Macdonald

Abstract

The role of probabilistic models in the debate over genetics and insurance is discussed. A Markov model is used to show that, under quite extreme assumptions, adverse selection in life insurance ought to be controllable. The statistical problems of estimating small differences in mortality are discussed; these might limit the use of many genetic disorders as rating factors. The influence of the insurance industry on policy-making, especially through its support of research, is discussed. It is suggested that participating contracts are suitable and simple vehicles to carry the genetic risks in life insurance.

Suggested Citation

  • Angus Macdonald, 1999. "Modeling the Impact of Genetics on Insurance," North American Actuarial Journal, Taylor & Francis Journals, vol. 3(1), pages 83-101.
    • Handle: RePEc:taf:uaajxx:v:3:y:1999:i:1:p:83-101
    DOI: 10.1080/10920277.1999.10595777
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    Cited by:

    1. Michael Hoy & Michael Ruse, 2005. "Regulating Genetic Information in Insurance Markets," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 8(2), pages 211-237, September.
    2. Margaret Otlowski, 2002. "Genetic Testing and Insurance: The Case for Regulation," Agenda - A Journal of Policy Analysis and Reform, Australian National University, College of Business and Economics, School of Economics, vol. 9(4), pages 335-354.

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