IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/10204.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    Note: EH AG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w10204.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. 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.
    3. 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.
    4. 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.
    5. David McAdams & Michael Schwarz, 2006. "Perverse Incentives in the Medicare Prescription Drug Benefit," NBER Working Papers 12008, National Bureau of Economic Research, Inc.
    6. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    13. repec:mpr:mprres:3849 is not listed on IDEAS
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    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. 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.

    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. George R. G. Clarke & Robert P. Strauss, 1998. "Children as Income‐Producing Assets: The Case of Teen Illegitimacy and Government Transfers," Southern Economic Journal, John Wiley & Sons, vol. 64(4), pages 827-856, April.
    2. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    3. Antonio Ruiz Porras, 2016. "La investigación econométrica mediante paneles de datos:historia, modelos y usos en México," Archivos Revista Economía y Política., Facultad de Ciencias Económicas y Administrativas, Universidad de Cuenca., vol. 24, pages 11-32, Julio.
    4. Parente, Paulo M.D.C. & Smith, Richard J., 2017. "Tests of additional conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 200(1), pages 1-16.
    5. Claire Senot & Aravind Chandrasekaran & Peter T. Ward & Anita L. Tucker & Susan D. Moffatt-Bruce, 2016. "The Impact of Combining Conformance and Experiential Quality on Hospitals’ Readmissions and Cost Performance," Management Science, INFORMS, vol. 62(3), pages 829-848, March.
    6. Hahn, Jinyong, 1997. "Efficient estimation of panel data models with sequential moment restrictions," Journal of Econometrics, Elsevier, vol. 79(1), pages 1-21, July.
    7. O'Brien, Raymond & Patacchini, Eleonora, 2003. "Testing the exogeneity assumption in panel data models with "non classical" disturbances," Discussion Paper Series In Economics And Econometrics 0302, Economics Division, School of Social Sciences, University of Southampton.
    8. Jacques Mairesse & Bronwyn H. Hall & Benoît Mulkay, 1999. "Firm-Level Investment in France and the United States: An Exploration of What We Have Learned in Twenty Years," Annals of Economics and Statistics, GENES, issue 55-56, pages 27-67.
    9. Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002. "Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods," Journal of Econometrics, Elsevier, vol. 109(1), pages 107-150, July.
    10. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    11. Russell Davidson & Victoria Zinde‐Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1595-1631, December.
    12. Jan Hanousek & Eugene Kroch, 1998. "The two waves of voucher privatization in the Czech Republic: a model of learning in sequential bidding," Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 133-143.
    13. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    14. Hayakawa, Kazuhiko, 2019. "Alternative over-identifying restriction test in the GMM estimation of panel data models," Econometrics and Statistics, Elsevier, vol. 10(C), pages 71-95.
    15. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
    16. Osvaldo Lagares, 2016. "Capital, Economic Growth and Relative Income Differences in Latin America," Discussion Papers 16/03, Department of Economics, University of York.
    17. Randall K. Filer & Jan Hanousek & Nauro F. Campos, 1999. "Do Stock Markets Promote Economic Growth," William Davidson Institute Working Papers Series 267, William Davidson Institute at the University of Michigan.
    18. Denyse L. Dagenais & Marcel Dagenais, 1995. "Higher Moment Estimators for Linear Regression Models With Errors in the Variables," CIRANO Working Papers 95s-13, CIRANO.
    19. Dagenais, Marcel G. & Dagenais, Denyse L., 1997. "Higher moment estimators for linear regression models with errors in the variables," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 193-221.
    20. Badi H. Baltagi, 2021. "Dynamic Panel Data Models," Springer Texts in Business and Economics, in: Econometric Analysis of Panel Data, edition 6, chapter 0, pages 187-228, Springer.

    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

    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:10204. 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.