Thomas, R. Guy (2017) Loss Coverage: Why Insurance Works Better with Some Adverse Selection. In: Actuarial Teachers and Researchers Conference, 17-18 July 2017, Canterbury. (Unpublished) (KAR id:65183)
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Official URL: https://blogs.kent.ac.uk/atrc/files/2017/07/1.10-G... |
Abstract
Insurers typically argue that regulatory limits on risk classification will induce ‘adverse selection’; they say that this has disadvantages not just for insurers, but also for society as a whole. I argue that even on its own terms, this argument is often flawed. From the viewpoint of society as a whole, not all adverse selection is adverse. Limits on risk classification which induce the right amount of adverse selection (but not too much adverse selection) can increase ‘loss coverage’, and so make insurance work better for society as a whole.
Item Type: | Conference or workshop item (Keynote) |
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Uncontrolled keywords: | insurance; loss coverage; adverse selection; risk classification |
Subjects: |
H Social Sciences > HB Economic Theory H Social Sciences > HG Finance |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Funders: | Organisations -1 not found. |
Depositing User: | Guy Thomas |
Date Deposited: | 10 Dec 2017 23:30 UTC |
Last Modified: | 10 Dec 2022 08:59 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/65183 (The current URI for this page, for reference purposes) |
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