Product Information
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 ecomics, and presents evidence that in many insurance markets, adverse selection is weaker than most commentators suggest. A vel 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 ecomics, law and social policy), policymakers, actuaries, underwriters, disability activists, geneticists and other medical professionals.Product Identifiers
PublisherCambridge University Press
ISBN-101107495903
ISBN-139781107495906
eBay Product ID (ePID)232161211
Product Key Features
Number of Pages282 Pages
Publication NameLoss Coverage : Why Insurance Works Better with Some Adverse Selection
LanguageEnglish
Publication Year2017
SubjectFinance & Accounting
TypeTextbook
Subject AreaBusiness & Economics
AuthorGuy Thomas
FormatTrade Paperback (Us), Paperback
Dimensions
Item Height0.6 in
Item Weight14.5 Oz
Item Length9 in
Item Width6 in
Additional Product Features
Date of Publication02/05/2017
Intended AudienceScholarly & Professional
Place of PublicationCambridge
Spine15mm
GenreFinance & Accounting
Country of PublicationUnited Kingdom
Author BiographyGuy Thomas is an actuary and investor, and an honorary lecturer at the University of Kent, Canterbury. His academic publications have received prizes from the Institute and Faculty of Actuaries and the International Actuarial Association. He is also the author of Free Capital: How Twelve Private Investors Made Millions in the Stock Market.
Content Note25b/W Illus. 9 Tables