IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/13358.html
   My bibliography  Save this paper

Prescription Drug Coverage and Elderly Medicare Spending

Author

Listed:
  • Baoping Shang
  • Dana P. Goldman

Abstract

The introduction of Medicare Part D has generated interest in the cost of providing drug coverage to the elderly. Of paramount importance -- often unaccounted for in budget estimates -- are the salutary effects that increased prescription drug use might have on other Medicare spending. This paper uses longitudinal data from the Medicare Current Beneficiary Survey (MCBS) to estimate how prescription drug benefits affect Medicare spending. We compare spending and service use for Medigap enrollees with and without drug coverage. Because of concerns about selection, we use variation in supply-side regulations of the individual insurance market -- including guaranteed issue and community rating -- as instruments for prescription drug coverage. We employ a discrete factor model to control for individual-level heterogeneity that might induce bias in the effects of drug coverage. Medigap prescription drug coverage increases drug spending by $170 or 22%, and reduces Medicare Part A spending by $350 or 13% (in 2000 dollars). Medigap prescription drug coverage reduces Medicare Part B spending, but the estimates are not statistically significant. Overall, a $1 increase in prescription drug spending is associated with a $2.06 reduction in Medicare spending. Furthermore, the substitution effect decreases as income rises, and thus provides support for the low-income assistance program of Medicare Part D.

Suggested Citation

  • Baoping Shang & Dana P. Goldman, 2007. "Prescription Drug Coverage and Elderly Medicare Spending," NBER Working Papers 13358, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:13358
    Note: EH AG PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w13358.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Joan Costa‐Font & Cristina Vilaplana‐Prieto, 2020. "‘More than one red herring'? Heterogeneous effects of ageing on health care utilisation," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 8-29, October.
    2. Lambrelli D & O’Donnell O, 2009. "Why Does the Utilization of Pharmaceuticals Vary So Much Across Europe? Evidence from Micro Data on Older Europeans," Health, Econometrics and Data Group (HEDG) Working Papers 09/06, HEDG, c/o Department of Economics, University of York.
    3. Partha Deb & Pravin K. Trivedi & David M. Zimmer, 2009. "Dynamic Cost-offsets of Prescription Drug Expenditures: Panel Data Analysis Using a Copula-based Hurdle Model," NBER Working Papers 15191, National Bureau of Economic Research, Inc.
    4. Munkin M & Trivedi P. K, 2009. "Incentives and Selection Effects of Drug Coverage on Total Drug Expenditure: a Finite Mixture Approach," Health, Econometrics and Data Group (HEDG) Working Papers 09/22, HEDG, c/o Department of Economics, University of York.
    5. Qian Li & Pravin K. Trivedi, 2016. "Adverse and Advantageous Selection in the Medicare Supplemental Market: A Bayesian Analysis of Prescription drug Expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 192-211, February.
    6. Murat K. Munkin & Pravin K. Trivedi, 2010. "Disentangling incentives effects of insurance coverage from adverse selection in the case of drug expenditure: a finite mixture approach," Health Economics, John Wiley & Sons, Ltd., vol. 19(9), pages 1093-1108, September.
    7. Florian Heiss & Daniel McFadden & Joachim Winter, 2010. "Mind the Gap! Consumer Perceptions and Choices of Medicare Part D Prescription Drug Plans," NBER Chapters, in: Research Findings in the Economics of Aging, pages 413-481, National Bureau of Economic Research, Inc.
    8. Glazer, Jacob & McGuire, Thomas G., 2012. "A welfare measure of “offset effects” in health insurance," Journal of Public Economics, Elsevier, vol. 96(5), pages 520-523.
    9. Melissa Boyle, 2008. "Costs and Benefits of Elderly Prescription Drug Coverage: Evidence from Veterans’ Health Care," Working Papers 0803, College of the Holy Cross, Department of Economics.
    10. Claude Montmarquette & Stéphanie Boulenger & Joanne Castonguay, 2014. "Les risques liés à la création de PHARMA-QUEBEC," CIRANO Project Reports 2014rp-05, CIRANO.
    11. Sara Allin & Jeremiah Hurley, 2009. "Inequity in publicly funded physician care: what is the role of private prescription drug insurance?," Health Economics, John Wiley & Sons, Ltd., vol. 18(10), pages 1218-1232, October.
    12. William Encinosa & Didem Bernard & Avi Dor, 2010. "Does Prescription Drug Adherence Reduce Hospitalizations and Costs?," NBER Working Papers 15691, National Bureau of Economic Research, Inc.
    13. Glazer Jacob & Huskamp Haiden A. & McGuire Thomas G., 2012. "A Prescription for Drug Formulary Evaluation: An Application of Price Indexes," Forum for Health Economics & Policy, De Gruyter, vol. 15(2), pages 1-26, March.
    14. Abdülkadi̇r Ci̇van & Bülent Köksal, 2010. "The effect of newer drugs on health spending: do they really increase the costs?," Health Economics, John Wiley & Sons, Ltd., vol. 19(5), pages 581-595, May.
    15. Florian Heiss & Daniel McFadden & Joachim Winter, 2008. "Mind the Gap! Consumer Perceptions and Choices," MEA discussion paper series 08156, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.

    More about this item

    JEL classification:

    • I0 - Health, Education, and Welfare - - General

    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:nbr:nberwo:13358. 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.

    We have no bibliographic 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.

    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.