Loss Coverage: Why Insurance Works Better with Some Adverse Selection Article Swipe
Related Concepts
Adverse selection
Underwriting
Actuarial science
Argument (complex analysis)
Group insurance
Exaggeration
Population
Economics
Selection (genetic algorithm)
Public economics
Insurance policy
General insurance
Income protection insurance
Medicine
Sociology
Computer science
Demography
Internal medicine
Artificial intelligence
Psychiatry
R. Guy Thomas
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1017/9781316178843
· OA: W2611941790
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1017/9781316178843
· OA: W2611941790
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.
Related Topics
Finding more related topics…