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Loss Coverage as a Public Policy Objective for Risk Classification Schemes
Author(s) -
Thomas R. Guy
Publication year - 2008
Publication title -
journal of risk and insurance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.055
H-Index - 63
eISSN - 1539-6975
pISSN - 0022-4367
DOI - 10.1111/j.1539-6975.2008.00294.x
Subject(s) - perspective (graphical) , adverse selection , actuarial science , selection (genetic algorithm) , economics , public economics , business , computer science , artificial intelligence
This article suggests that from a public policy perspective, some degree of adverse selection may be desirable in some insurance markets. The article suggests that a public policymaker should consider the criterion of “loss coverage,” and that in some markets a policymaker may wish to regulate risk classification with a view to increasing loss coverage. Either too much or too little risk classification may reduce loss coverage. The concept is explored by means of examples and formulaic and graphical interpretations. An application to the UK life insurance market is considered.