Business Economics and Public Policy Papers

Document Type

Journal Article

Date of this Version

12-1999

Publication Source

The Journal of Risk and Insurance

Volume

66

Issue

4

Start Page

531

Last Page

550

Copyright/Permission Statement

Genetic testing is a concern for insurers if they cannot use test results in underwriting. We model adverse selection in an insurance market with genetic testing for breast and ovarian cancer. Increased forces of mortality resulting from a family history of cancer or a positive test for a BRCA mutation are calculated. Using a Markov model, we estimate costs of adverse selection, assuming various testing and insurance purchase behaviors. Adverse selection should be controllable if companies apply strict underwriting rules, requesting cancer history and onset age for all first-degree relatives. If insurers fail to correctly identify the family history of the application and use it in pricing, adverse selection costs could become unbearable.

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Date Posted: 27 November 2017

This document has been peer reviewed.