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Managed Care, Drug Benefits and Mortality: An Analysis of the Elderly

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  • Gautam Gowrisankaran
  • Robert J. Town

Abstract

We seek to investigate whether managed health care can affect mortality, and if so, through which mechanisms. We estimate the impact of Medicare+Choice (M+C), Medicare's managed care program, on elderly mortality, using a county-level panel from 1993 to 2000. We control for endogenous M+C penetration rates with county fixed effects and instrumental variables. We construct instruments using the identification created by the fact that M+C payment rates are based on 3 to 8 year lagged fee-for-service (FFS) costs in the county. We find that enrollment in managed care without prescription drug coverage significantly increases mortality while enrollment in managed care with drug coverage has no significant impact, both relative to FFS. The impact of managed care penetration on mortality from heart disease appears to follow a similar pattern. The estimates suggest that a 10-percentage point increase in M+C non-drug coverage would cause 51,000 additional deaths among the aged population in 2000.

Suggested Citation

  • Gautam Gowrisankaran & Robert J. Town, 2004. "Managed Care, Drug Benefits and Mortality: An Analysis of the Elderly," NBER Working Papers 10204, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:10204
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    1. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. repec:mpr:mprres:3849 is not listed on IDEAS
    4. Zhou Yang & Donna B. Gilleskie & Edward C. Norton, 2004. "Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics," NBER Working Papers 10964, National Bureau of Economic Research, Inc.
    5. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    6. Victor R. Fuchs & Mark B. McClellan & Jonathan S. Skinner, 2004. "Area Differences in Utilization of Medical Care and Mortality among US Elderly," NBER Chapters, in: Perspectives on the Economics of Aging, pages 367-414, National Bureau of Economic Research, Inc.
    7. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    8. Town, Robert & Liu, Su, 2003. "The Welfare Impact of Medicare HMOs," RAND Journal of Economics, The RAND Corporation, vol. 34(4), pages 719-736, Winter.
    9. Baker, Laurence C & Corts, Kenneth S, 1996. "HMO Penetration and the Cost of Health Care: Market Discipline or Market Segmentation?," American Economic Review, American Economic Association, vol. 86(2), pages 389-394, May.
    10. Lillard, L.A. & Rogowski, J. & Kington, R., 1999. "Insurance Coverage for Prescription Drugs: Effects on Use and Expenditures in the Medicare Population," Papers 99-09, RAND - Labor and Population Program.
    11. David McAdams & Michael Schwarz, 2006. "Perverse Incentives in the Medicare Prescription Drug Benefit," NBER Working Papers 12008, National Bureau of Economic Research, Inc.
    12. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    13. Keane, Michael P & Runkle, David E, 1992. "On the Estimation of Panel-Data Models with Serial Correlation When Instruments Are Not Strictly Exogenous: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(1), pages 26-29, January.
    14. Roetzheim, R.G. & Pal, N. & Gonzalez, E.C. & Ferrante, J.M. & Van Durme, D.J. & Krischer, J.P., 2000. "Effects of health insurance and race on colorectal cancer treatments and outcomes," American Journal of Public Health, American Public Health Association, vol. 90(11), pages 1746-1754.
    15. David M. Cutler & Sarah J. Reber, 1998. "Paying for Health Insurance: The Trade-Off between Competition and Adverse Selection," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(2), pages 433-466.
    16. Keane, Michael P & Runkle, David E, 1992. "On the Estimation of Panel-Data Models with Serial Correlation When Instruments Are Not Strictly Exogenous," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(1), pages 1-9, January.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    18. Frank R. Lichtenberg, 2002. "The Effect of Changes in Drug Utilization on Labor Supply and Per Capita Output," NBER Working Papers 9139, National Bureau of Economic Research, Inc.
    19. Lillard, L.A. & Rogowski, J. & Kington, R., 1999. "Insurance Coverage for Prescription Drugs: Effects on Use and Expenditures in the Medicare Population," Papers 99-09, RAND - Labor and Population Program.
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    Cited by:

    1. Duggan, Mark & Starc, Amanda & Vabson, Boris, 2016. "Who benefits when the government pays more? Pass-through in the Medicare Advantage program," Journal of Public Economics, Elsevier, vol. 141(C), pages 50-67.
    2. Chernew, Michael & DeCicca, Philip & Town, Robert, 2008. "Managed care and medical expenditures of Medicare beneficiaries," Journal of Health Economics, Elsevier, vol. 27(6), pages 1451-1461, December.
    3. Vincenzo Atella & Francesco D'Amico, 2010. "Who is responsible for your health: You, your doctor or new technologies?," CEIS Research Paper 167, Tor Vergata University, CEIS, revised 28 May 2010.
    4. Blázquez-Fernández, Carla & González-Prieto, Noelia & Moreno-Mencía, Patricia, 2013. "Pharmaceutical Expenditure as a Determinant of Health Outcomes in EU Countries/El gasto farmacéutico como determinante de los resultados en salud en países de la UE," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 31, pages 379-396, Septiembr.
    5. Christopher C. Afendulis & Michael E. Chernew & Daniel P. Kessler, 2017. "The Effect of Medicare Advantage on Hospital Admissions and Mortality," American Journal of Health Economics, MIT Press, vol. 3(2), pages 254-279, Spring.
    6. Nasreen Khan & Robert Kaestner & Swu Jane Lin, 2007. "Prescription Drug Insurance and Its Effect on Utilization and Health of the Elderly," NBER Working Papers 12848, National Bureau of Economic Research, Inc.
    7. Huh, Jason & Reif, Julian, 2017. "Did Medicare Part D reduce mortality?," Journal of Health Economics, Elsevier, vol. 53(C), pages 17-37.

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    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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