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Genetic Information: Comparing Alternative Regulatory Approaches When Prevention Matters

Author

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  • FRANCESCA BARIGOZZI
  • DOMINIQUE HENRIET

Abstract

We compare the alternative approaches for regulating genetic information in the health insurance market when prevention measures are available. In the model, firms offer insurance contracts to consumers who are initially uninformed of their risk type but can obtain such information by performing a costless genetic test. A crucial ingredient of our analysis is that information has decision-making value since it allows for optimal choice of a self-insurance action (secondary prevention). We focus on the welfare properties of market equilibria obtained under the different regulatory schemes and, by using an intuitive graphical analysis, we rank them unambiguously. Our results show that Disclosure Duty weakly dominates the other regulatory schemes and that Strict Prohibition represents the worst regulatory approach.
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Suggested Citation

  • Francesca Barigozzi & Dominique Henriet, 2011. "Genetic Information: Comparing Alternative Regulatory Approaches When Prevention Matters," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 13(1), pages 23-46, February.
    • Handle: RePEc:bla:jpbect:v:13:y:2011:i:1:p:23-46
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    Cited by:

    1. David Crainich, 2025. "Optimal self‐insurance with genetic testing and state‐dependent utility," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 58(2), pages 418-442, May.
    2. Kym Pram, 2023. "Learning And Evidence In Insurance Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(4), pages 1685-1714, November.
    3. Simeon Schudy & Verena Utikal, 2015. "Does imperfect data privacy stop people from collecting personal health data?," TWI Research Paper Series 98, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    4. Bardey, David & De Donder, Philippe, 2013. "Genetic testing with primary prevention and moral hazard," Journal of Health Economics, Elsevier, vol. 32(5), pages 768-779.
    5. David Bardey & Philippe De Donder, 2025. "A welfare analysis of genetic testing in health insurance markets with adverse selection and prevention," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 58(2), pages 443-483, May.
    6. Schernberg, Hélène, 2025. "Social genetic insurance: A life-cycle perspective," Journal of Health Economics, Elsevier, vol. 101(C).
    7. Renaud Bourlès, 2017. "Prevention incentives in long‐term insurance contracts," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 26(3), pages 661-674, September.
    8. Martin Eling & Irina Gemmo & Danjela Guxha & Hato Schmeiser, 2024. "Big data, risk classification, and privacy in insurance markets," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 75-126, March.
    9. Zeeshan Samad & Myrna Wooders & Bradley Malin & Yevgeniy Vorobeychik, 2023. "Risk, trust, and altruism in genetic data sharing," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(6), pages 1251-1269, December.
    10. David Crainich, 2017. "Self-Insurance With Genetic Testing Tools," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(1), pages 73-94, March.
    11. M. Martin Boyer & Franca Glenzer, 2021. "Pensions, annuities, and long-term care insurance: on the impact of risk screening," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 46(2), pages 133-174, September.
    12. Philippe De Donder, 2025. "Introduction to the symposium on the economics of genetic testing and personalized medicine," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 58(2), pages 414-417, May.
    13. David Crainich, 2024. "Optimal self‐insurance with genetic testing and state‐dependent utility," Post-Print hal-04864674, HAL.
    14. Simeon Schudy & Verena Utikal, 2018. "Does Imperfect Data Privacy Stop People from Collecting Personal Data?," Games, MDPI, vol. 9(1), pages 1-23, March.
    15. Kenkel Don S. & Wang Hua, 2013. "The Economics of Personalization in Prevention and Public Health," Forum for Health Economics & Policy, De Gruyter, vol. 16(2), pages 53-71, June.
    16. Tan, Kar Man & Gründl, Helmut, 2023. "Testing frequency and severity risk under various information regimes and implications in insurance," ICIR Working Paper Series 49/23, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    17. David Bardey & Philippe De Donder & Cesar Mantilla, 2014. "Adverse Selection vs Discrimination Risk with Genetic Testing. An Experimental Approach," CESifo Working Paper Series 5080, CESifo.
    18. 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).
    19. Posey, Lisa L. & Thistle, Paul D., 2021. "Genetic testing and genetic discrimination: Public policy when insurance becomes “too expensive”," Journal of Health Economics, Elsevier, vol. 77(C).
    20. Georges Dionne & Nathalie Fombaron & Neil Doherty, 2012. "Adverse selection in insurance contracting," Working Papers 12-8, HEC Montreal, Canada Research Chair in Risk Management.
    21. Georges Dionne & Nathalie Fombaron & Wanda Mimra, 2025. "Adverse Selection in Insurance," Springer Books, in: Georges Dionne (ed.), Handbook of Insurance, edition 0, pages 165-221, Springer.
    22. Stefan Felder, 2022. "Decision thresholds with genetic testing," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 1071-1078, August.
    23. David Bardey & Philippe De Donder, 2015. "Welfare Impacts of Genetic Testing in Health Insurance Markets: Will Cross-Subsidies Survive?," Documentos CEDE 17220, Universidad de los Andes, Facultad de Economía, CEDE.
    24. Peter, Richard & Richter, Andreas & Thistle, Paul, 2017. "Endogenous information, adverse selection, and prevention: Implications for genetic testing policy," Journal of Health Economics, Elsevier, vol. 55(C), pages 95-107.
    25. Christine Arentz, 2012. "Auswirkungen von Gentests in der Krankenversicherung," Otto-Wolff-Institut Discussion Paper Series 04/2012, Otto-Wolff-Institut für Wirtschaftsordnung, Köln, Deutschland.

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods

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