IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/2843.html
   My bibliography  Save this paper

Predicting Nursing Home Utilization Among the High-Risk Elderly

Author

Listed:
  • Alan M. Garber
  • Thomas E. MaCurdy

Abstract

This paper explores the influence of various characteristics on nursing home utilization. It examines a targeted population of elderly individuals whose poor health and lack of social supports were expected to lead to heavy use of long-term care. We develop an empirical framework based on a transition probability model to describe the frequency and duration of nursing home admissions. Using longitudinal data on the high-risk elderly enrollees of the National Long-Term Care Demonstration ("Channeling" demonstration), we. find that a small set of characteristics distinguish individuals who are likely to be heavy utilizers of nursing homes from low utilizers. The factors associated with a high likelihood of institutionalization are not identical to the health characteristics associated with high mortality; for example, the likelihood of death increases with age, but nursing home utilization does not, when functional status and other characteristics are held constant. A somewhat healthier population might have used nursing homes more heavily than the Channeling participants, whose nursing home utilization was limited by high mortality.

Suggested Citation

  • Alan M. Garber & Thomas E. MaCurdy, 1989. "Predicting Nursing Home Utilization Among the High-Risk Elderly," NBER Working Papers 2843, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:2843
    Note: AG HE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w2843.pdf
    Download Restriction: no

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. VanderHart, Peter G., 1998. "The Housing Decisions of Older Households: A Dynamic Analysis," Journal of Housing Economics, Elsevier, vol. 7(1), pages 21-48, March.
    2. David M. Cutler & Louise Sheiner, 1994. "Policy Options for Long-Term Care," NBER Chapters,in: Studies in the Economics of Aging, pages 395-442 National Bureau of Economic Research, Inc.
    3. Jonathan Feinstein, 1996. "Elderly Health, Housing, and Mobility," NBER Chapters,in: Advances in the Economics of Aging, pages 275-320 National Bureau of Economic Research, Inc.
    4. Peter G. VanderHart, 1994. "An Empirical Analysis of the Housing Decisions of Older Homeowners," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 22(2), pages 205-233.
    5. Alan M. Garber, 1994. "Financing Health Care for Elderly Americans in the 1990s," NBER Chapters,in: Aging in the United States and Japan: Economic Trends, pages 175-194 National Bureau of Economic Research, Inc.
    6. Axel Borsch-Supan, 1989. "A Dynamic Analysis of Household Dissolution and Living Arrangement Transitions by Elderly Americans," NBER Working Papers 2808, National Bureau of Economic Research, Inc.

    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:nbr:nberwo:2843. 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: () or (Joanne Lustig). General contact details of provider: http://edirc.repec.org/data/nberrus.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.