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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Abstract
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 |
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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: | https://kar.kent.ac.uk/id/eprint/96931 (The current URI for this page, for reference purposes) |
Tapadar, Pradip: | ![]() |
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