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Risk Classification and Social Welfare*

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  • Michael Hoy

    (Department of Economics, University of Guelph, Guelph, Ontario, Canada N1G 2W1.)

Abstract

In this paper, I provide a selective survey of the literature on the social welfare implications of regulations that restrict insurers' use of classification by personal characteristics. I refer to this practice as regulatory adverse selection. To differentiate this survey from earlier ones, I focus on directly addressing the question “What can canonical models of insurance tell us about policy effects of restrictions on risk classification?” Rather than only focus on efficiency properties of such regulations, I adopt an explicit welfare function approach of the sort inspired by Harsanyi's veil of ignorance. This allows for an explicit trade-off concerning the equity and efficiency effects of regulatory adverse selection. Also, I pay more attention than do earlier surveys to the possibility of pooling equilibria under nonexclusivity of provision and additional considerations that specifically affect the life insurance market. I derive some explicit conditions that determine when such regulations are either welfare enhancing or detrimental. The Geneva Papers (2006) 31, 245–269. doi:10.1057/palgrave.gpp.2510079

Suggested Citation

  • Michael Hoy, 2006. "Risk Classification and Social Welfare*," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 31(2), pages 245-269, April.
  • Handle: RePEc:pal:gpprii:v:31:y:2006:i:2:p:245-269
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    Citations

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    Cited by:

    1. R. Guy Thomas, 2008. "Loss Coverage as a Public Policy Objective for Risk Classification Schemes," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(4), pages 997-1018, December.
    2. Martin Eling & David Pankoke, 2016. "Costs and Benefits of Financial Regulation: An Empirical Assessment for Insurance Companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 41(4), pages 529-554, October.
    3. Bruszas, Sandy & Kaschützke, Barbara & Maurer, Raimond & Siegelin, Ivonne, 2018. "Unisex pricing of German participating life annuities—Boon or bane for customer and insurance company?," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 230-245.
    4. Filipova-Neumann, Lilia & Hoy, Michael, 2014. "Managing genetic tests, surveillance, and preventive medicine under a public health insurance system," Journal of Health Economics, Elsevier, vol. 34(C), pages 31-41.
    5. Georges Dionne & Casey Rothschild, 2014. "Economic Effects of Risk Classification Bans," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 39(2), pages 184-221, September.
    6. Marc Fleurbaey, 2018. "Welfare economics, risk and uncertainty," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(1), pages 5-40, February.
    7. Hao, MingJie & Macdonald, Angus S. & Tapadar, Pradip & Thomas, R. Guy, 2018. "Insurance loss coverage and demand elasticities," Insurance: Mathematics and Economics, Elsevier, vol. 79(C), pages 15-25.
    8. Bardey, David & De Donder, Philippe & Mantilla, César, 2019. "How is the trade-off between adverse selection and discrimination risk affected by genetic testing? Theory and experiment," Journal of Health Economics, Elsevier, vol. 68(C).
    9. Casper H. de Jong, 2021. "Risk classification and the balance of information in insurance; an alternative interpretation of the evidence," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 24(4), pages 445-461, December.
    10. Georges Dionne & Casey G. Rothschild, 2011. "Risk Classification in Insurance Contracting," Cahiers de recherche 1137, CIRPEE.
    11. Chatterjee, Indradeb & Macdonald, Angus S. & Tapadar, Pradip & Thomas, R. Guy, 2021. "When is utilitarian welfare higher under insurance risk pooling?," Insurance: Mathematics and Economics, Elsevier, vol. 101(PB), pages 289-301.

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