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Loss Coverage: Why Insurance Works Better with Some Adverse Selection

Thomas, R. Guy (2017) Loss Coverage: Why Insurance Works Better with Some Adverse Selection. Cambridge University Press, Cambridge, UK, 274 pp. ISBN 978-1-107-49590-6. E-ISBN 978-1-108-15882-4. (doi:10.1017/9781316178843) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:61806)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
https://doi.org/10.1017/9781316178843

Abstract

Most academic and policy commentary represents adverse selection as a severe problem in insurance, which should always be deprecated, avoided or minimised. This book gives a contrary view. It details the exaggeration of adverse selection in insurers' rhetoric and insurance economics, and presents evidence that in many insurance markets, adverse selection is weaker than most commentators suggest. A novel arithmetical argument shows that from a public policy perspective, 'weak' adverse selection can be a good thing. This is because a degree of adverse selection is needed to maximise 'loss coverage', the expected fraction of the population's losses which is compensated by insurance.

This book will be valuable for those interested in public policy arguments about insurance and discrimination: academics (in economics, law and social policy), policymakers, actuaries, underwriters, disability activists, geneticists and other medical professionals.

Item Type: Book
DOI/Identification number: 10.1017/9781316178843
Uncontrolled keywords: Loss coverage; adverse selection; insurance; insurance rhetoric; insurance economics; moral hazard; big data
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
Depositing User: Guy Thomas
Date Deposited: 21 May 2017 01:33 UTC
Last Modified: 16 Feb 2021 13:45 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/61806 (The current URI for this page, for reference purposes)

University of Kent Author Information

Thomas, R. Guy.

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