IDEAS home Printed from https://ideas.repec.org/p/cbo/wpaper/51027.html
   My bibliography  Save this paper

Changes in Medicare Spending per Beneficiary by Age: Working Paper 2015-08

Author

Listed:
  • Xiaotong Niu
  • Melinda Buntin
  • Joyce Manchester

Abstract

The aging of the population exerts upward pressure on federal spending for health care, especially Medicare, as both the number and average age of elderly beneficiaries increase. Total Medicare expenditures may also be affected by changes in relative per-beneficiary spending for beneficiaries of different ages as the population ages. In this paper, we use the Master Beneficiary Summary File to estimate spending per beneficiary for the elderly population (people between ages 65 and 105) enrolled in the traditional fee-for-service (FFS) Medicare program between 1999 and 2012

Suggested Citation

  • Xiaotong Niu & Melinda Buntin & Joyce Manchester, 2015. "Changes in Medicare Spending per Beneficiary by Age: Working Paper 2015-08," Working Papers 51027, Congressional Budget Office.
  • Handle: RePEc:cbo:wpaper:51027
    as

    Download full text from publisher

    File URL: https://www.cbo.gov/sites/default/files/114th-congress-2015-2016/workingpaper/51027-MedicareSpending.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Congressional Budget Office, 2012. "Offsetting Effects of Prescription Drug Use on Medicare’s Spending for Medical Services," Reports 43741, Congressional Budget Office.
    2. Obermeyer, Ziad & Makar, Maggie & Abujaber, Samer & Dominici, Francesca & Block, Susan Dale & Cutler, David M., 2014. "Association Between the Medicare Hospice Benefit and Health Care Utilization and Costs for Patients With Poor-Prognosis Cancer," Scholarly Articles 22856726, Harvard University Department of Economics.
    3. Congressional Budget Office, 2012. "Offsetting Effects of Prescription Drug Use on Medicare’s Spending for Medical Services," Reports 43741, Congressional Budget Office.
    4. repec:mpr:mprres:7951 is not listed on IDEAS
    5. Eric Schone & Randall S. Brown, 2013. "Risk Adjustment: What is the Current State of the Art, and How Can it Be Improved?," Mathematica Policy Research Reports 498be6c41a5249ac8b41bb2d8, Mathematica Policy Research.
    6. repec:mpr:mprres:7914 is not listed on IDEAS
    7. Louise Sheiner, 2004. "The effects of technology on the age distribution of health spending: a cross-country perspective," Finance and Economics Discussion Series 2004-14, Board of Governors of the Federal Reserve System (U.S.).
    8. Eric Schone & Randall Brown & Sarah Goodell, 2013. "Risk Adjustment What is the Current State of the Art and How Can it Be Improved," Mathematica Policy Research Reports 7398914a13d64be2b6a470d67, Mathematica Policy Research.
    9. David A. Wise, 2001. "Themes in the Economics of Aging," NBER Books, National Bureau of Economic Research, Inc, number wise01-1.
    10. repec:mpr:mprres:7915 is not listed on IDEAS
    11. David A. Wise, 1998. "Frontiers in the Economics of Aging," NBER Books, National Bureau of Economic Research, Inc, number wise98-1.
    12. Marsha Gold & Gretchen Jacobson & Anthony Damico & Tricia Neuman, "undated". "Medicare Advantage Enrollment Market Update," Mathematica Policy Research Reports e83f2db159ff40ea89dd61897, Mathematica Policy Research.
    13. Eric Schone & Randy Brown, 2013. "Risk Adjustment: What Is the Current State of the Art and How Can it Be Improved?," Mathematica Policy Research Reports 8a01850f06aa4a78968026bcb, Mathematica Policy Research.
    14. Congressional Budget Office, 2012. "Offsetting Effects of Prescription Drug Use on Medicare’s Spending for Medical Services," Reports 43741, Congressional Budget Office.
    15. Melinda Buntin & Michael Levine, 2013. "Why Has Growth in Spending for Fee-for-Service Medicare Slowed?: Working Paper 2013-06," Working Papers 44513, Congressional Budget Office.
    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. Barkowski, Scott & Jun, Dajung & Zhang, Yuting, 2022. "Medicaid Expansion Spillover Effects on Health Care Consumption and Coverage: Evidence from Medicare Administrative Data," MPRA Paper 112178, University Library of Munich, Germany.
    2. Ian Grady & Sean Grady & Nailya Chanisheva, 2021. "Long-term cost of breast cancer treatment to the United States Medicare Program by stage at diagnosis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1365-1370, December.

    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. Kyoungrae Jung & Roger Feldman & A. McBean, 2014. "Demand for prescription drugs under non-linear pricing in Medicare Part D," International Journal of Health Economics and Management, Springer, vol. 14(1), pages 19-40, March.
    2. Lichtenberg Frank R., 2018. "The Impact of New Drug Launches on Hospitalization in 2015 for 67 Medical Conditions in 15 OECD Countries: A Two-Way Fixed-Effects Analysis," Forum for Health Economics & Policy, De Gruyter, vol. 21(2), pages 1-20, December.
    3. Frank R. Lichtenberg, 2024. "Has pharmaceutical innovation reduced the average cost of U.S. health care episodes?," International Journal of Health Economics and Management, Springer, vol. 24(1), pages 1-31, March.
    4. Buntin Melinda & Hayford Tamara, 2016. "Evidence of Inefficiencies in Practice Patterns: Regional Variation in Medicare Medical and Drug Spending," Forum for Health Economics & Policy, De Gruyter, vol. 19(2), pages 299-331, December.
    5. Julie Shi & Yi Yao & Gordon Liu, 2018. "Modeling individual health care expenditures in China: Evidence to assist payment reform in public insurance," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 1945-1962, December.
    6. James M. Poterba & Steven F. Venti & David A. Wise, 2010. "The Rise of 401(k) Plans, Lifetime Earnings, and Wealth at Retirement," NBER Chapters, in: Research Findings in the Economics of Aging, pages 271-304, National Bureau of Economic Research, Inc.
    7. Robert Kaestner & Cuping Schiman & G. Caleb Alexander, 2019. "Effects of Prescription Drug Insurance on Hospitalization and Mortality: Evidence from Medicare Part D," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 86(3), pages 595-628, September.
    8. Engelhardt, Gary V., 2003. "Reasons for job change and the disposition of pre-retirement lump-sum pension distributions," Economics Letters, Elsevier, vol. 81(3), pages 333-339, December.
    9. Juergen Jung & Chung Tran, 2014. "Medical consumption over the life-cycle," Empirical Economics, Springer, vol. 47(3), pages 927-957, November.
    10. Mastrobuoni, Giovanni, 2011. "The role of information for retirement behavior: Evidence based on the stepwise introduction of the Social Security Statement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 913-925, August.
    11. Malmendier, Ulrike M. & Della Vigna, Stefano, 2002. "Overestimating Self-Control: Evidence from the Health Club Industry," Research Papers 1880, Stanford University, Graduate School of Business.
    12. Steven F. Venti & David A. Wise, 2001. "Choice, Chance, and Wealth Dispersion at Retirement," NBER Chapters, in: Aging Issues in the United States and Japan, pages 25-64, National Bureau of Economic Research, Inc.
    13. Christopher Brunt & Gail Jensen, 2013. "Medicare payment generosity and access to care," Journal of Regulatory Economics, Springer, vol. 44(2), pages 215-236, October.
    14. James M. Poterba & Steven F. Venti & David A. Wise, 2008. "New Estimates of the Future Path of 401(k) Assets," NBER Chapters, in: Tax Policy and the Economy, Volume 22, pages 43-80, National Bureau of Economic Research, Inc.
    15. Rob Euwals & Daniel Vuuren & Ronald Wolthoff, 2010. "Early Retirement Behaviour in the Netherlands: Evidence From a Policy Reform," De Economist, Springer, vol. 158(3), pages 209-236, September.
    16. Zhao, Meng & Konishi, Yoshifumi & Glewwe, Paul, 2013. "Does information on health status lead to a healthier lifestyle? Evidence from China on the effect of hypertension diagnosis on food consumption," Journal of Health Economics, Elsevier, vol. 32(2), pages 367-385.
    17. Julien Hugonnier & Florian Pelgrin & Pascal St‐Amour, 2020. "Closing down the shop: Optimal health and wealth dynamics near the end of life," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 138-153, February.
    18. Hiroaki Kaido & Kaspar Wüthrich, 2021. "Decentralization estimators for instrumental variable quantile regression models," Quantitative Economics, Econometric Society, vol. 12(2), pages 443-475, May.
    19. Emilio Zagheni & Brittney Wagner, 2015. "The impact of demographic change on intergenerational transfers via bequests," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(18), pages 525-534.

    More about this item

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cbo:wpaper:51027. 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/cbogvus.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.