Home A Note on Income Effects and Health Care Cost Growth in Medicare
Article
Licensed
Unlicensed Requires Authentication

A Note on Income Effects and Health Care Cost Growth in Medicare

  • Thomas G. McGuire EMAIL logo
Published/Copyright: February 28, 2014

Abstract

This paper sets out a model of technical change and health care cost growth for a representative Medicare beneficiary facing a budget constraint. Derivation of an explicit expression for health care cost growth shows how technological change and preferences, including income effects, affect cost growth. The analysis highlights the role of the 76% subsidy from current taxpayers to Medicare beneficiaries for purchase of health insurance. This subsidy insulates beneficiaries from the income effects of cost growth by shifting the costs and income effects to taxpayers. Simulations show that over the next 10–20 years, income effects will have little effect on cost growth in Medicare.


Corresponding author: Thomas G. McGuire, Department of Health Care Policy, Harvard Medical School, 180 Longwood Ave, Boston, MA 02115, USA, e-mail:

  1. 1

    See Charts 1–14 and 10–16 in MedPAC (2011). Chart 1–14 reports an average benefit per enrollee for Parts A and B of Medicare of $9505, and average cost sharing associated with these program components of $1616. Chart 10–16 reports average monthly spending per Part D enrollee of $228, for a yearly total of $2736. Of Part D costs, $39 monthly or $468 annually, are borne by enrollee. Part D cost sharing plus cost sharing from Parts A and B totals $2084 annually. Premium costs were calculated based on the standard Medicare part B monthly premium of $96.40 (see CMS 2009) and the average monthly Part D premium of $30. (See p. 163 of MedPAC 2011.) Together, these add to yearly premiums of $1517. Premiums, benefits, and cost-sharing together amount to the $15, 374 cited in the text. Some of the cost sharing is paid by supplemental policies (sometimes subsidized by former employers) and by Medicaid, implying that the 13.5% cost-sharing number is if anything too high.

  2. 2

    In McClellan and Skinner’s term, Medicare is largely a “pay-as-you-go” financing system. Tax payments by current beneficiaries “have never come close to financing their lifetime expenditures.” Much of the subsidy in Medicare is thus from current taxpayers to current beneficiaries.

  3. 3

    Hall and Jones study a social planning problem, not market equilibrium. Their model is demand only – there is no change in technology, and no insurance or subsidies.

  4. 4

    Individual-level cross-sectional studies such as the RAND Health Insurance Experiment tend to find elasticities substantially below 1.0 (Newhouse 1993), whereas studies of populations over time tend to find elasticities above 1.0 (Fogel 2009). One interpretation of these differences is that a longer time period allows technology to adjust to changing income. Additionally, some cross-sectional studies control for insurance generosity, which might be a route through which income affects demand for health care. Acemoglu et al. (2013) question the ability of these studies to derive a causal effect. They estimate income effects on demand to be around 0.7 using geographic variation in the incidence of an oil-price shock to identify income effects.

  5. 5

    For a more recent discussion related to productivity measurement in service industries, see Bosworth and Triplett (2003).

  6. 6

    The analysis here also applies to the case in which γ<1, but the discussion will proceed as if unit costs are increasing over time.

  7. 7

    There is no technological change elsewhere in the economy. If there were, the interpretation of these parameters would be the “excess” technological change in health care compared to the other sector.

  8. 8

    Income could be growing at a fixed rate. This would add a parameter but no additional insight.

  9. 9

    The purpose of these substitutions is to work dq/dt into a manageable form. The normal or uncompensated demand elasticity will also be affected by shape of the marginal benefit of consumption schedule, v.

  10. 10

    Recall that q is quantity and γt is cost per unit of quantity. Spending is quantity times cost per unit.

  11. 11

    Equation (2) confirms this. When εq=0, dq/dt=0.

  12. 12

    Equation (2) also confirms this in the absence of income effects.

  13. 13

    Over long periods of time, and especially as health care as a share of income changes, it is unlikely that preference parameters like demand elasticity will remain constant.

  14. 14

    In the dismal case in which rate of unit cost growth exceed rate of value-enhancing growth, rate of cost growth will be less than ln(γ). Indeed, if demand is sufficiently elastic, q will fall enough so that health care cost growth will be negative.

  15. 15

    The values chosen were as follows: εx=–1, εq=–1, γ=1.01, λ=1.01893. No subsidies from taxpayers means in the model that σ=1. The value of rate of growth of benefits of health care (λ) was chosen to bring the rate of cost growth to the desired value of 1.5%.

  16. 16

    See Polsky and Grande (2009) who calculate health care costs for taxpayers – their own and what they pay to support others – as a share of disposable income for representative working families.

  17. 17

    Transfers need to be collected by distortionary taxes, so would impose an efficiency cost on these grounds.

  18. 18

    The main problem in Medicare is the availability of supplemental insurance through private insurers to pay Medicare cost sharing. The “subsidy” for this product derives from the fact that the private insurer does not pay for (and therefore charge the beneficiary for) the extra costs imposed on Medicare from demand response to reduced cost sharing. This is a separate issue from the tax subsidy of Medicare premiums. Pauly (1986) called attention to subsidies to purchase of health insurance as a fundamental cause of market failure in health care.

  19. 19

    This policy does not lead to efficient sorting of beneficiaries between Part C and traditional Medicare which would require the premium difference between the plans to differ for beneficiaries according to the expected difference in their health care costs. See Glazer and McGuire (2013) for an analysis of the role of premiums in sorting beneficiaries between traditional Medicare and Medicare Advantage.

Acknowledgements

I am grateful for research support from the National Institute of Aging P01 AG032952 and R01 AG034417. Martin Andersen, Sebastian Bauhoff, Todd Caldis, Michael Chernew, Laura Hatfield, Joseph Newhouse, Daria Pelech and Zirui Song provided many helpful comments on an earlier draft. I am grateful to the Associate Editor and two anonymous reviewers for comments and suggestions. Any errors are mine.

References

Acemoglu, D., A. Finkelstein and M. Notowidigdo (2013) “Income and Health Spending: Evidence from Oil Price Shocks,” Review of Economics and Statistics, 95(4):1079–1095.10.1162/REST_a_00306Search in Google Scholar

Bosworth, B. E. and J. E. Triplett (2003) Productivity Measurement in Service Industries: Baumol’s Disease has been Cured. Washington, DC: Brookings Institution.Search in Google Scholar

Center for Medicare and Medicaid Services (2009) “Medicare Part B Premium Costs in 2010,” CMS Product # 11144 at http://www.medicare.gov/publications/pubs/pdf/11444.pdf.Search in Google Scholar

Chernew, M. C. and J. P. Newhouse (2012) “Health Care Cost Growth.” In: (Pauly, M., T. G. McGuire and P. Barros, eds.) Handbook of Health Economics, Volume 2. Pp 1–43, Amsterdam: Elsevier.10.1016/B978-0-444-53592-4.00001-3Search in Google Scholar

Fogel, R. W. (2009) “Forecasting the Cost of U.S. Health Care in 2040,” Journal of Policy Modeling, 31(4):482–488.10.1016/j.jpolmod.2009.05.004Search in Google Scholar

Glazer, J. and T. G. McGuire (2013) “Making Medicare Advantage a Middle-Class Program,” Journal of Health Economics, 32:463–473.10.1016/j.jhealeco.2012.11.010Search in Google Scholar

Hall, R. E. and C. I. Jones (2007) “The Value of Life and the Rise in Health Spending,” Quarterly Journal of Economics, 122(1):39–72.10.1162/qjec.122.1.39Search in Google Scholar

Kaiser Family Foundation (2008) “Medicare Fact Sheet: Medicare Spending and Financing,” Publication #7305-03 at www.kff.org.Search in Google Scholar

McClellan, M. B. and J. S. Skinner (2006). “The Incidence of Medicare,” Journal of Public Economics, 90(1–2):257–276.10.1016/j.jpubeco.2005.05.008Search in Google Scholar

Medicare Payment Advisory Commission (2011) A Data Book: Health Care Spending and the Medicare Program. June, Washington, DC.Search in Google Scholar

Newhouse, J. P. (1992) “Medical Care Costs: How Much Welfare Loss?” Journal of Economic Perspectives, 6(3):3–21.10.1257/jep.6.3.3Search in Google Scholar

Newhouse, J. P. and the Insurance Experiment Group (1993) Free for All? Lessons from the RAND Health Insurance Experiment. Cambridge, Mass: Harvard University Press.Search in Google Scholar

Orszag, P. (2008) “The Long-Term Budget Outlook and Options for Slowing the Growth of Health Care Costs,” Testimony before the Committee on Finance, US Senate, June, 17.Search in Google Scholar

Pauly, M. V. (1986) “Taxation, Health Insurance and Market Failure,” Journal of Economic Literature 24(2):629–675.Search in Google Scholar

Polsky, D. and D. Grande (2009) “The Burden of Health Care Costs for Working Families – Implications for Reform,” New England Journal of Medicine, 361(5):437–439.10.1056/NEJMp0905297Search in Google Scholar

Weisbrod, B. (1991) “The Health Care Quadrilemma: An Essay on Technological Change, Insurance, Quality of Care, and Cost Containment,” Journal of Economic Literature 29(3):523–552.Search in Google Scholar

Published Online: 2014-2-28
Published in Print: 2014-1-1

©2014 by De Gruyter

Downloaded on 28.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/fhep-2013-0001/html
Scroll to top button