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Genetic Testing When There is a Mix of Compulsory and Voluntary Health Insurance

Author

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  • Michael Hoel
  • Tor Iversen

Abstract

Genetic insurance can deal with the negative effects of genetic testing on insurance coverage and income distribution when the insurer has access to information about test status. Hence, efficient testing is promoted. When information about prevention and test status is private, two types of social inefficiencies may occur; genetic testing may not be done when it is socially efficient and genetic testing may be done although it is socially inefficient. The first type of inefficiency is shown to be likely for consumers with compulsory insurance only, while the second type of inefficiency is more likely for those who have supplemented the compulsory insurance with substantial voluntary insurance. This second type of inefficiency is more important the less effective prevention is. It is therefore a puzzle that many countries have imposed strict regulation on the genetic information insurers have access to. A reason may be that genetic insurance is not yet a political issue, and the advantage of shared genetic information is therefore not transparent.

Suggested Citation

  • Michael Hoel & Tor Iversen, 2001. "Genetic Testing When There is a Mix of Compulsory and Voluntary Health Insurance," CESifo Working Paper Series 495, CESifo Group Munich.
  • Handle: RePEc:ces:ceswps:_495
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    References listed on IDEAS

    as
    1. Strohmenger, R. & Wambach, A., 2000. "Adverse selection and categorical discrimination in the health insurance markets: the effects of genetic tests," Journal of Health Economics, Elsevier, vol. 19(2), pages 197-218, March.
    2. Hoy, Michael & Polborn, Mattias, 2000. "The value of genetic information in the life insurance market," Journal of Public Economics, Elsevier, vol. 78(3), pages 235-252, November.
    3. Hoy, Michael, 1989. "The value of screening mechanisms under alternative insurance possibilities," Journal of Public Economics, Elsevier, vol. 39(2), pages 177-206, July.
    4. Doherty, Neil A. & Thistle, Paul D., 1996. "Adverse selection with endogenous information in insurance markets," Journal of Public Economics, Elsevier, vol. 63(1), pages 83-102, December.
    5. Tabarrok, Alexander, 1994. "Genetic testing: An economic and contractarian analysis," Journal of Health Economics, Elsevier, vol. 13(1), pages 75-91, March.
    6. Besley, Timothy & Hall, John & Preston, Ian, 1998. "Private and public health insurance in the UK," European Economic Review, Elsevier, vol. 42(3-5), pages 491-497, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Kazuhiko Sakai & Mahito Okura, 2012. "An Economic Analysis of Compulsory and Voluntary Insurance," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 2(2), pages 1-8, April.
    2. 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.
    3. 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.
    4. Oster, Emily & Shoulson, Ira & Quaid, Kimberly & Dorsey, E. Ray, 2010. "Genetic adverse selection: Evidence from long-term care insurance and Huntington disease," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 1041-1050, December.
    5. Emons Winand, 2009. "Genetic Tests and Inter-Temporal Screening in Competitive Insurance Markets," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-19, July.
    6. repec:gam:jgames:v:9:y:2018:i:1:p:14-:d:134809 is not listed on IDEAS
    7. 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.
    8. Hoel, Michael & Iversen, Tor & Nilssen, Tore & Vislie, Jon, 2003. "Genetic testing and repulsion from chance," Memorandum 20/2003, Oslo University, Department of Economics.
    9. Jin-Hyuk Kim & Liad Wagman, 2015. "Screening incentives and privacy protection in financial markets: a theoretical and empirical analysis," RAND Journal of Economics, RAND Corporation, vol. 46(1), pages 1-22, March.
    10. 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.
    11. Nathalie Fombaron & Carine Milcent, 2007. "The distortionary effect of health insurance on health demand," Working Papers halshs-00587713, HAL.
    12. Vicky Barham & Rose Anne Devlin & Olga Milliken, 2016. "Genetic Health Risks: The Case for Universal Public Health Insurance," Working Papers 1605E, University of Ottawa, Department of Economics.
    13. Christine Arentz, 2012. "Auswirkungen von Gentests in der Krankenversicherung," Otto-Wolff-Institut Discussion Paper Series 04/2012, Otto-Wolff-Institut für Wirtschaftsordnung, Köln, Deutschland.
    14. Hoel, Michael & Iversen, Tor & Nilssen, Tore & Vislie, Jon, 2006. "Genetic testing in competitive insurance markets with repulsion from chance: A welfare analysis," Journal of Health Economics, Elsevier, vol. 25(5), pages 847-860, September.
    15. Simeon Schudy & Verena Utikal, 2012. "The Influence of (Im)perfect Data Privacy on the Acquisition of Personal Health Data," Working Paper Series of the Department of Economics, University of Konstanz 2012-12, Department of Economics, University of Konstanz.
    16. repec:bla:jrinsu:v:84:y:2017:i:1:p:73-94 is not listed on IDEAS
    17. Georges Dionne & Nathalie Fombaron & Neil Doherty, 2012. "Adverse Selection in Insurance Contracting," Cahiers de recherche 1231, CIRPEE.

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