IDEAS home Printed from https://ideas.repec.org/a/eee/jhecon/v21y2002i2p253-270.html
   My bibliography  Save this article

Genetic testing when there is a mix of compulsory and voluntary health insurance

Author

Listed:
  • Hoel, Michael
  • Iversen, Tor

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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Hoel, Michael & Iversen, Tor, 2002. "Genetic testing when there is a mix of compulsory and voluntary health insurance," Journal of Health Economics, Elsevier, vol. 21(2), pages 253-270, March.
    • Handle: RePEc:eee:jhecon:v:21:y:2002:i:2:p:253-270
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-6296(01)00112-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Michael Hoy & Michael Ruse, 2005. "Regulating Genetic Information in Insurance Markets," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 8(2), pages 211-237, September.
    3. 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.
    4. Dionne, Georges & Fombaron, Nathalie & Doherty, Neil, 2012. "Adverse selection in insurance contracting," Working Papers 12-8, HEC Montreal, Canada Research Chair in Risk Management.
    5. Ray Rees & Patricia Apps, 2006. "Genetic testing, income distribution and insurance markets, CHERE Working Paper 2006/3," Working Papers 2006/3, CHERE, University of Technology, Sydney.
    6. 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.
    7. Richard Peter & Andreas Richter & Petra Steinorth, 2016. "Yes, No, Perhaps? Premium Risk and Guaranteed Renewable Insurance Contracts With Heterogeneous Incomplete Private Information," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(2), pages 363-385, June.
    8. 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.
    9. 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.
    10. Dionne, G. & Doherty, N., 1991. "Adverse Selection In Insurance Markets: A Selective Survey," Cahiers de recherche 9105, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    11. 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.
    12. Hoel, Michael & Iversen, Tor & Nilssen, Tore & Vislie, Jon, 2003. "Genetic testing and repulsion from chance," Memorandum 20/2003, Oslo University, Department of Economics.
    13. Georges Dionne & Casey G. Rothschild, 2011. "Risk Classification in Insurance Contracting," Cahiers de recherche 1137, CIRPEE.
    14. 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).
    15. 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.
    16. Michael Hoy & Peter Lambert, 2000. "Genetic Screening and Price Discrimination in Insurance Markets," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 25(2), pages 103-130, December.
    17. 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.
    18. 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.
    19. Simeon Schudy & Verena Utikal, 2018. "Does Imperfect Data Privacy Stop People from Collecting Personal Data?," Games, MDPI, vol. 9(1), pages 1-23, March.
    20. Karlsson Linnér, Richard & Koellinger, Philipp D., 2022. "Genetic risk scores in life insurance underwriting," Journal of Health Economics, Elsevier, vol. 81(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jhecon:v:21:y:2002:i:2:p:253-270. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505560 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.