Advanced Search
MyIDEAS: Login

Medicine worse than the malady : cure rates, population shifts, and health insurance

Contents:

Author Info

  • Robert F. Graboyes
Registered author(s):

    Abstract

    We examine the welfare effects of the interaction of three types of technological progress in medicine and health insurance; some paradoxes emerge. The model specifies three types of people: W (well); H (sick with high cure rate if treated); and L (sick with low cure rate if treated). There are four insurance modes: Indemnity (I): fully covered treatments for Hs, cash bribes for Ls to forgo treatment); Deductible (D): partially covered treatments for Hs, no treatments for Ls); Zero (Z): no insurance and no treatments); and Full (F): fully covered treatments for Hs and Ls). The three types of technological progress are represented as population shifts from sicker to healthier classes of people; for brevity, we call the shifts L—>W, H—>W, and L—>H, and describe each as follows: ; L—>W: Improved ability to prevent illness among Ls- unambiguously improves welfare and seems to yield intuitive mode sequences. ; H—>W: Improved ability to prevent illness among Hs- unambiguously improves welfare but sometimes yields surprising mode sequences. Examples: F-Z (full insurance when there are many Hs, no insurance when there are fewer Hs); and D-F-D (Hs partially covered, then fully covered, then only partially covered once again. Ls not treated, then treated, then not treated once again.). ; L—>H: Some would-be Ls become more highly treatable Hs. Here, technological progress not only yields surprising mode shifts (e.g., D-Z-I-Z), but the welfare effects of progress are ambiguous. This is because L—>H may lead to more people being treated and cured (a welfare gain), but at a cost of higher premiums for all subscribers (a welfare loss). ; The paradoxical results are in part explained by the fact that utility is a concave function of wealth and a linear function of health.The three shifts could also be interpreted as autonomous demographic changes rather than as technological progress.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.richmondfed.org/publications/research/working_papers/2000/wp_00-6.cfm
    Download Restriction: no

    File URL: http://www.richmondfed.org/publications/research/working_papers/2000/pdf/wp00-6.pdf
    Download Restriction: no

    Bibliographic Info

    Paper provided by Federal Reserve Bank of Richmond in its series Working Paper with number 00-06.

    as in new window
    Length:
    Date of creation: 2000
    Date of revision:
    Handle: RePEc:fip:fedrwp:00-06

    Contact details of provider:
    Web page: http://www.richmondfed.org/
    More information through EDIRC

    Order Information:
    Email:
    Web: http://www.richmondfed.org/publications/

    Related research

    Keywords: Insurance; Health ; Medical care; Cost of;

    References

    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.:
    as in new window
    1. Akerlof, George A, 1970. "The Market for 'Lemons': Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, MIT Press, vol. 84(3), pages 488-500, August.
    2. Feldstein, Martin S, 1973. "The Welfare Loss of Excess Health Insurance," Journal of Political Economy, University of Chicago Press, vol. 81(2), pages 251-80, Part I, M.
    3. David M. Cutler, 1996. "Public Policy for Health Care," NBER Working Papers 5591, National Bureau of Economic Research, Inc.
    4. James R. Baumgardner, 1991. "The Interaction between Forms of Insurance Contract and Types of Technical Change in Medical Care," RAND Journal of Economics, The RAND Corporation, vol. 22(1), pages 36-53, Spring.
    5. Gianfrancesco, Frank D., 1983. "A proposal for improving the efficiency of medical insurance," Journal of Health Economics, Elsevier, vol. 2(2), pages 175-184, August.
    6. David M. Cutler & Louise Sheiner, 1998. "Managed Care and the Growth of Medical Expenditures," NBER Chapters, in: Frontiers in Health Policy Research, volume 1, pages 77-116 National Bureau of Economic Research, Inc.
    7. Randall P. Ellis & Thomas G. McGuire, 1993. "Supply-Side and Demand-Side Cost Sharing in Health Care," Journal of Economic Perspectives, American Economic Association, vol. 7(4), pages 135-151, Fall.
    Full references (including those not matched with items on IDEAS)

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:fip:fedrwp:00-06. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (William Perkins).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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