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Disability Forecasts and Future Medicare Costs

Author

Listed:
  • Bhattacharya Jayanta

    (Stanford University and NBER)

  • Cutler David M.

    (Harvard University and NBER)

  • Goldman Dana P.

    (RAND and NBER)

  • Hurd Michael D.

    (RAND and NBER)

  • Joyce Geoffrey F.

    (RAND)

  • Lakdawalla Darius N.

    (RAND and NBER)

  • Panis Constantijn W. A.

    (RAND)

  • Shang Baoping

    (RAND)

Abstract

The traditional focus of disability research has been on the elderly, with good reason. Chronic disability is much more prevalent among the elderly, and it has a more direct impact on the demand for medical care. It is also important to understand trends in disability among the young, however, particularly if these trends diverge from those among the elderly. These trends could have serious implications for future health care spending because more disability at younger ages almost certainlytranslates into more disability among tomorrow's elderly, and disability is a key predictor of health care spending.Using data from the Medicare Current Beneficiary Survey (MCBS) and the National Health Interview Study (NHIS), we forecast that per-capita Medicare costs will decline for the next fifteen to twenty years, in accordance with recent projections of declining disability among the elderly. By 2020, however, the trend reverses. Per-capita costs begin to rise due to growth in disability among the younger elderly. Total costs may well remain relatively flat until 2010 and then begin to rise because per-capita costs will cease to decline rapidly enough to offset the influx of new elderly people. Overall, cost forecasts for the elderly that incorporate information about disability among today's younger generations yield more pessimistic scenarios than those based solely on elderly data sets, and this information should be incorporated into official Medicare forecasts.

Suggested Citation

  • Bhattacharya Jayanta & Cutler David M. & Goldman Dana P. & Hurd Michael D. & Joyce Geoffrey F. & Lakdawalla Darius N. & Panis Constantijn W. A. & Shang Baoping, 2004. "Disability Forecasts and Future Medicare Costs," Forum for Health Economics & Policy, De Gruyter, vol. 7(1), pages 1-22, January.
  • Handle: RePEc:bpj:fhecpo:v:7:y:2004:n:4
    DOI: 10.2202/1558-9544.1052
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    References listed on IDEAS

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    1. repec:hoo:wpaper:e-90-11 is not listed on IDEAS
    2. Jay Bhattacharya & Alan M. Garber & Thomas MaCurdy, 1996. "Cause-Specific Mortality among Medicare Enrollees," NBER Working Papers 5409, National Bureau of Economic Research, Inc.
    3. Thomas MaCurdy & David Green & Harry Paarsch, 1990. "Assessing Empirical Approaches for Analyzing Taxes and Labor Supply," Journal of Human Resources, University of Wisconsin Press, vol. 25(3), pages 415-490.
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    Cited by:

    1. Niehaus, Frank, 2006. "Alter und steigende Lebenserwartung - Eine Analyse der Auswirkungen auf die Gesundheitsausgaben," WIP-Analysen Dezember 2006, WIP – Wissenschaftliches Institut der PKV.
    2. Pierre-Carl Michaud & Dana Goldman & Darius Lakdawalla & Yuhui Zheng & Adam Gailey, 2009. "Understanding the Economic Consequences of Shifting Trends in Population Health," NBER Working Papers 15231, National Bureau of Economic Research, Inc.
    3. Gregory G. Lubiani & Albert A. Okunade, 2013. "Production Cost Structure In Us Outpatient Physical Therapy Health Care," Health Economics, John Wiley & Sons, Ltd., vol. 22(2), pages 212-223, February.
    4. Niehaus, Frank & Weber, Christian, 2008. "Teilkapitaldeckung als Finanzierungsmodell am Beispiel der Pflegeversicherung," WIP-Analysen Juni 2008, WIP – Wissenschaftliches Institut der PKV.
    5. Igor Akushevich & Julia S. Kravchenko & Kenneth G. Manton, 2007. "Health‐Based Population Forecasting: Effects of Smoking on Mortality and Fertility," Risk Analysis, John Wiley & Sons, vol. 27(2), pages 467-482, April.
    6. Niehaus, Frank, 2008. "Prognose des Beitragssatzes in der gesetzlichen Krankenversicherung," WIP-Analysen September 2008, WIP – Wissenschaftliches Institut der PKV.

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