IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/5409.html
   My bibliography  Save this paper

Cause-Specific Mortality among Medicare Enrollees

Author

Listed:
  • Jay Bhattacharya
  • Alan M. Garber
  • Thomas MaCurdy

Abstract

Life tables with specific causes of death, particularly when adjusted for demographic and other personal characteristics, can be important components of cost-effectiveness and other economic studies. However, there are few sources of nationally representative information that can be used to develop life tables that incorporate cause-specific mortality. To produce such estimates, we relate annual mortality rates to a set of individual characteristics, applying a statistical model with a flexible functional form to data obtained from a random sample of Medicare eligibility and hospital insurance files, covering the years 1986-1990. Insofar as national data sources can be found to compare to the estimates of these models, the results are comparable. For example, the survival figures are comparable to the life table figures supplied as part of the series of vital statistics of the United States. The framework can be extended to analyze expenditures for both inpatient and outpatient care and to estimate lifetime profiles of Medicare expenditures for individuals falling into various demographic and clinical categories. The framework can also be extended to analyze the mortality and utilization associated with use of specific procedures.

Suggested Citation

  • Jay Bhattacharya & Alan M. Garber & Thomas MaCurdy, 1996. "Cause-Specific Mortality among Medicare Enrollees," NBER Working Papers 5409, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:5409
    Note: AG EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w5409.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bert Kestenbaum, 1992. "A description of the extreme aged population based on improved medicare enrollment data," Demography, Springer;Population Association of America (PAA), vol. 29(4), pages 565-580, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. 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.
    2. Darius Lakdawalla & Dana Goldman & Jay Bhattacharya, 2001. "Are the Young Becoming More Disabled?," NBER Working Papers 8247, National Bureau of Economic Research, Inc.

    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. Shiro Horiuchi & Nadine Ouellette & Siu Lan Karen Cheung & Jean-Marie Robine, 2013. "Modal age at death: lifespan indicator in the era of longevity extension," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 11(1), pages 37-69.
    2. Dan A. Black & Yu-Chieh Hsu & Seth G. Sanders & Lynne Steuerle Schofield & Lowell J. Taylor, 2017. "The Methuselah Effect: The Pernicious Impact of Unreported Deaths on Old-Age Mortality Estimates," Demography, Springer;Population Association of America (PAA), vol. 54(6), pages 2001-2024, December.
    3. Irma Elo & Cassio Turra & Bert Kestenbaum & B. Ferguson, 2004. "Mortality among elderly hispanics in the United States: Past evidence and new results," Demography, Springer;Population Association of America (PAA), vol. 41(1), pages 109-128, February.
    4. Mark Hill & Samuel Preston & Ira Rosenwaike, 2000. "Age reporting among white Americans aged 85+: Results of a record linkage study," Demography, Springer;Population Association of America (PAA), vol. 37(2), pages 175-186, May.
    5. Elizabeth Wrigley-Field, 2020. "Multidimensional Mortality Selection: Why Individual Dimensions of Frailty Don’t Act Like Frailty," Demography, Springer;Population Association of America (PAA), vol. 57(2), pages 747-777, April.
    6. Dora L. Costa, 2008. "The Rise of Retirement Among African Americans: Wealth and Social Security Effects," NBER Working Papers 14462, National Bureau of Economic Research, Inc.
    7. Wen, Ming & Cagney, Kathleen A. & Christakis, Nicholas A., 2005. "Effect of specific aspects of community social environment on the mortality of Individuals diagnosed with serious illness," Social Science & Medicine, Elsevier, vol. 61(6), pages 1119-1134, September.
    8. Joseph T. Lariscy, 2017. "Black–White Disparities in Adult Mortality: Implications of Differential Record Linkage for Understanding the Mortality Crossover," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(1), pages 137-156, February.
    9. Nan Johnson, 2000. "The racial crossover in comorbidity, disability, and mortality," Demography, Springer;Population Association of America (PAA), vol. 37(3), pages 267-283, August.
    10. Robert Bourbeau & André Lebel, 2000. "Mortality statistics for the oldest-old," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 2(2).
    11. Samuel Preston & Irma Elo & Ira Rosenwaike & Mark Hill, 1996. "African-american mortality at older ages: Results of a matching study," Demography, Springer;Population Association of America (PAA), vol. 33(2), pages 193-209, May.
    12. Dmitri A. Jdanov & Domantas Jasilionis & Eugeny L. Soroko & Roland Rau & James W. Vaupel, 2008. "Beyond the Kannisto-Thatcher Database on Old Age Mortality: an assessment of data quality at advanced ages," MPIDR Working Papers WP-2008-013, Max Planck Institute for Demographic Research, Rostock, Germany.
    13. Susan Watkins, 1993. "If all we knew about women was what we read in Demography, what would we know?," Demography, Springer;Population Association of America (PAA), vol. 30(4), pages 551-577, November.
    14. Diane Lauderdale & Bert Kestenbaum, 2002. "Mortality rates of elderly Asian American populations based on medicare and social security data," Demography, Springer;Population Association of America (PAA), vol. 39(3), pages 529-540, August.
    15. Ryan Masters, 2012. "Uncrossing the U.S. Black-White Mortality Crossover: The Role of Cohort Forces in Life Course Mortality Risk," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 773-796, August.
    16. Irma Elo & Samuel Preston, 1994. "Estimating African-American mortality from inaccurate data," Demography, Springer;Population Association of America (PAA), vol. 31(3), pages 427-458, August.
    17. Elizabeth Wrigley-Field, 2014. "Mortality Deceleration and Mortality Selection: Three Unexpected Implications of a Simple Model," Demography, Springer;Population Association of America (PAA), vol. 51(1), pages 51-71, February.
    18. Theodore Iwashyna & James Zhang & Diane Lauderdale & Nicholas Christakis, 2000. "Refinements of a methodology for detecting married couples in the medicare data," Demography, Springer;Population Association of America (PAA), vol. 37(2), pages 251-252, May.
    19. Irma Elo, 2001. "New african American life tables from 1935–1940 to 1985–1990," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 97-114, February.
    20. Magali Barbieri, 2018. "Investigating the Difference in Mortality Estimates between the Social Security Administration Trustees' Report and the Human Mortality Database," Working Papers wp394, University of Michigan, Michigan Retirement Research Center.

    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

    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:5409. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.