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Insurance loss coverage and social welfare

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  • MingJie Hao
  • Angus S. Macdonald
  • Pradip Tapadar
  • R. Guy Thomas

Abstract

Restrictions on insurance risk classification may induce adverse selection, which is usually perceived as a bad outcome, both for insurers and for society. However, a social benefit of modest adverse selection is that it can lead to an increase in ‘loss coverage’, defined as expected losses compensated by insurance for the whole population. We reconcile the concept of loss coverage to a utilitarian concept of social welfare commonly found in the economic literature on risk classification. For iso-elastic insurance demand, ranking risk classification schemes by (observable) loss coverage always give the same ordering as ranking by (unobservable) social welfare.

Suggested Citation

  • MingJie Hao & Angus S. Macdonald & Pradip Tapadar & R. Guy Thomas, 2019. "Insurance loss coverage and social welfare," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2019(2), pages 113-128, February.
  • Handle: RePEc:taf:sactxx:v:2019:y:2019:i:2:p:113-128
    DOI: 10.1080/03461238.2018.1513865
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    Cited by:

    1. Chatterjee, Indradeb & Hao, MingJie & Tapadar, Pradip & Thomas, R. Guy, 2024. "Can price collars increase insurance loss coverage?," Insurance: Mathematics and Economics, Elsevier, vol. 116(C), pages 74-94.

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