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Improving insurance with some adverse selection

Tapadar, Pradip, Thomas, R. Guy (2022) Improving insurance with some adverse selection. Inclusive insurance bulletin, 3 . pp. 11-13. (KAR id:96931)

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Public policy on insurance risk classification is typically perceived as a trade-off between two types of argument. On the one hand, social arguments against discrimination suggest a need for limits on insurers’ ability to use individual data in setting premiums. On the other hand, economic arguments under the rubric of ‘adverse selection’ or ‘anti-selection’ suggest that such limits make insurance markets work less well.

Item Type: Article
Uncontrolled keywords: insurance risk
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Pradip Tapadar
Date Deposited: 14 Sep 2022 20:36 UTC
Last Modified: 15 Sep 2022 13:59 UTC
Resource URI: (The current URI for this page, for reference purposes)
Tapadar, Pradip:
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