This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Genetic Testing and Repulsion from Chance

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Michael Hoel ()
Tor Iversen ()
Tore Nilssen ()
Jon Vislie ()

Additional information is available for the following registered author(s):

Abstract

A central theme in the international debate on genetic testing concerns the extent to which insurance companies should be allowed to use genetic information in their design of insurance contracts. We analyze this issue within a model with the following important feature: A person’s well-being depends on the perceived probability of becoming ill in the future in a way that varies among individuals. We show that both tested high-risks and untested individuals are equally well off whether or not test results can be used by insurers. Individuals who test for being low-risks, on the other hand, are made worse off by not being able to verify this to insurers. This implies that verifiability dominates nonverifiability in an ex-ante sense.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.cesifo-group.de/DocCIDL/cesifo1_wp1181.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by CESifo GmbH in its series CESifo Working Paper Series with number CESifo Working Paper No. 1181.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: 2004
Date of revision:
Handle: RePEc:ces:ceswps:_1181

Contact details of provider:
Postal: Poschingerstrasse 5, 81679 Munich
Phone: +49 (89) 9224-0
Fax: +49 (89) 985369
Web page: http://www.cesifo.de

For technical questions regarding this item, or to correct its listing, contact: (Julio Saavedra).

Related research
Keywords:

Other versions of this item:

Find related papers by JEL classification:
D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information
I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Kuehn, Astrid & Wambach, Achim, 2001. "Breakdown of Will and the Value of Information," CEPR Discussion Papers 3111, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
  2. Grant, Simon & Kajii, Atsushi & Polak, Ben, 1998. "Intrinsic Preference for Information," Journal of Economic Theory, Elsevier, vol. 83(2), pages 233-259, December. [Downloadable!] (restricted)
    Other versions:
  3. Kreps, David M & Porteus, Evan L, 1978. "Temporal Resolution of Uncertainty and Dynamic Choice Theory," Econometrica, Econometric Society, vol. 46(1), pages 185-200, January. [Downloadable!] (restricted)
  4. 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. [Downloadable!] (restricted)
  5. 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. [Downloadable!] (restricted)
    Other versions:
  6. Rothschild, Michael & Stiglitz, Joseph E, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, MIT Press, vol. 90(4), pages 630-49, November.
  7. Chew, Soo Hong & Ho, Joanna L, 1994. "Hope: An Empirical Study of Attitude toward the Timing of Uncertainty Resolution," Journal of Risk and Uncertainty, Springer, vol. 8(3), pages 267-88, May.
  8. Holmstrom, Bengt & Myerson, Roger B, 1983. "Efficient and Durable Decision Rules with Incomplete Information," Econometrica, Econometric Society, vol. 51(6), pages 1799-819, November. [Downloadable!] (restricted)
    Other versions:
  9. 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. [Downloadable!] (restricted)
  10. 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. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Henk C. Kranendonk & Jan Bonenkamp & Johan P. Verbruggen, 2004. "A Leading Indicator for the Dutch Economy – Methodological and Empirical Revision of the CPB System," CESifo Working Paper Series CESifo Working Paper No. , CESifo GmbH. [Downloadable!]
Statistics
Access and download statistics

Did you know? LogEc provides statistical analysis about downloads from this service (and others).

This page was last updated on 2008-9-3.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.