IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v27y2018i3p557-575.html
   My bibliography  Save this article

Effect of privatized managed care on public insurance spending and generosity: Evidence from Medicaid

Author

Listed:
  • Victoria Perez

Abstract

States choose to provide Medicaid coverage via managed care or traditional fee‐for‐service. Managed care provided by private insurers poses higher contracting costs and information asymmetry than traditional fee‐for‐service but potentially improves efficiency and reduces spending. Evaluating the effect of managed care on Medicaid spending is challenging because adoption of managed care is nonrandom and may be driven by local economic shocks that simultaneously affect Medicaid spending. This study implements a dynamic panel framework to estimate the effect of managed care enrollment on spending levels and program design. Results show reductions in Medicaid spending larger than previously found in cross‐state studies: A 10% increase of managed care enrollment reduces state Medicaid spending by 2.94%, or approximately $55 million. The study identifies which areas of spending are differentially affected by managed care enrollment and whether savings from managed care affect Medicaid design, specifically coverage generosity.

Suggested Citation

  • Victoria Perez, 2018. "Effect of privatized managed care on public insurance spending and generosity: Evidence from Medicaid," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 557-575, March.
  • Handle: RePEc:wly:hlthec:v:27:y:2018:i:3:p:557-575
    DOI: 10.1002/hec.3608
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.3608
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.3608?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    2. Anna Aizer & Janet Currie & Enrico Moretti, 2007. "Does Managed Care Hurt Health? Evidence from Medicaid Mothers," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 385-399, August.
    3. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Axel Dreher & Jan-Egbert Sturm & Heinrich Ursprung, 2008. "The impact of globalization on the composition of government expenditures: Evidence from panel data," Public Choice, Springer, vol. 134(3), pages 263-292, March.
    5. Mauldon, J. & Leibowitz, A. & Buchanan, J.L. & Damberg, C. & McGuigan, K.A., 1994. "Rationing or rationalizing children's medical care: Comparison of a Medicaid HMO with fee-for-service care," American Journal of Public Health, American Public Health Association, vol. 84(6), pages 899-904.
    6. James E. Alt & David Dreyer Lassen & Shanna Rose, 2006. "The Causes of Fiscal Transparency: Evidence from the American States," EPRU Working Paper Series 06-02, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    7. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    8. McClellan, Mark & Cutler, David & Newhous, Joseph P., 2000. "How Does Managed Care Do It?," Scholarly Articles 2643884, Harvard University Department of Economics.
    9. James E. Alt & David Dreyer Lassen & Shanna Rose, 2006. "The Causes of Fiscal Transparency: Evidence from the U.S. States," IMF Staff Papers, Palgrave Macmillan, vol. 53(si), pages 1-2.
    10. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    11. Mark Duggan & Tamara Hayford, 2013. "Has the Shift to Managed Care Reduced Medicaid Expenditures? Evidence from State and Local‐Level Mandates," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(3), pages 505-535, June.
    12. Duggan, Mark, 2004. "Does contracting out increase the efficiency of government programs? Evidence from Medicaid HMOs," Journal of Public Economics, Elsevier, vol. 88(12), pages 2549-2572, December.
    13. Nancy W. Hudspeth & David F. Merriman & Richard F. Dye & Andrew W. Crosby, 2015. "Do Troubled Times Invite Cloudy Budget Reporting? The Determinants of General Fund Expenditure Share in U.S. States," Public Budgeting & Finance, Wiley Blackwell, vol. 35(4), pages 68-89, December.
    14. 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.
    15. David M. Cutler & Mark McClellan & Joseph P. Newhouse, 2000. "How Does Managed Care Do It?," RAND Journal of Economics, The RAND Corporation, vol. 31(3), pages 526-548, Autumn.
    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. Elizabeth L. Munnich & Michael R. Richards, 2020. "Treatment flows after outsourcing public insurance provision: Evidence from Florida Medicaid," Health Economics, John Wiley & Sons, Ltd., vol. 29(11), pages 1343-1363, November.

    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. Elizabeth L. Munnich & Michael R. Richards, 2020. "Treatment flows after outsourcing public insurance provision: Evidence from Florida Medicaid," Health Economics, John Wiley & Sons, Ltd., vol. 29(11), pages 1343-1363, November.
    2. Lindsey Woodworth, 2016. "A Leak in the Lifeboat: The effect of Medicaid managed care on the vitality of safety-net hospitals," Journal of Regulatory Economics, Springer, vol. 50(3), pages 251-270, December.
    3. Marton, James & Yelowitz, Aaron & Talbert, Jeffery C., 2014. "A tale of two cities? The heterogeneous impact of medicaid managed care," Journal of Health Economics, Elsevier, vol. 36(C), pages 47-68.
    4. Sacks, Daniel W., 2018. "Why do HMOs spend less? Patient selection, physician price sensitivity, and prices," Journal of Public Economics, Elsevier, vol. 168(C), pages 146-161.
    5. Lee, Ajin, 2020. "How do hospitals respond to managed care? Evidence from at-risk newborns," Journal of Public Economics, Elsevier, vol. 184(C).
    6. Victoria Perez, 2018. "Does capitated managed care affect budget predictability? Evidence from Medicaid programs," International Journal of Health Economics and Management, Springer, vol. 18(2), pages 123-152, June.
    7. Vitor Castro, 2017. "Pure, White and Deadly… Expensive: A Bitter Sweetness in Health Care Expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1644-1666, December.
    8. Michael Geruso & Timothy J. Layton & Jacob Wallace, 2023. "What Difference Does a Health Plan Make? Evidence from Random Plan Assignment in Medicaid," American Economic Journal: Applied Economics, American Economic Association, vol. 15(3), pages 341-379, July.
    9. David Dranove & Christopher Ody & Amanda Starc, 2021. "A Dose of Managed Care: Controlling Drug Spending in Medicaid," American Economic Journal: Applied Economics, American Economic Association, vol. 13(1), pages 170-197, January.
    10. Sèna Kimm Gnangnon, 2020. "Trade Openness and Diversification of External Financial Flows for Development: An Empirical Analysis," South Asian Journal of Macroeconomics and Public Finance, , vol. 9(1), pages 22-57, June.
    11. Juergen Bitzer & Erkan Goeren, 2018. "Foreign Aid and Subnational Development: A Grid Cell Analysis," Working Papers V-407-18, University of Oldenburg, Department of Economics, revised Mar 2018.
    12. Jeffrey Kouton, 2021. "The impact of renewable energy consumption on inclusive growth: panel data analysis in 44 African countries," Economic Change and Restructuring, Springer, vol. 54(1), pages 145-170, February.
    13. Davide Consoli & Francesco Vona & Francesco Rentocchini, 2016. "That was then, this is now: skills and routinization in the 2000s," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(5), pages 847-866.
    14. Hirsch, Julia & Walz, Uwe, 2019. "The financing dynamics of newly founded firms," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 261-272.
    15. Benjamin Jung, 2009. "Adjustment Dynamics of Bilateral Trade Flows: Theory and Evidence," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 145(IV), pages 421-442, December.
    16. Elya Nabila Abdul Bahri & Abu Hassan Shaari Md Nor & Tamat Sarmidi & Nor Hakimah Haji Mohd Nor, 2019. "The Role of Financial Development in the Relationship Between Foreign Direct Investment and Economic Growth: A Nonlinear Approach," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-32, June.
    17. Ilyana Kuziemko & Katherine Meckel & Maya Rossin-Slater, 2013. "Do Insurers Risk-Select Against Each Other? Evidence from Medicaid and Implications for Health Reform," NBER Working Papers 19198, National Bureau of Economic Research, Inc.
    18. Gnangnon, Sèna Kimm, 2023. "Duration of membership in the world trade organization and investment-oriented remittances inflows," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 258-277.
    19. Sèna Kimm Gnangnon, 2024. "Export product quality and inclusivity in developing countries," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 32(3), pages 807-843, July.
    20. Vinayagathasan, Thanabalasingam, 2013. "Inflation and economic growth: A dynamic panel threshold analysis for Asian economies," Journal of Asian Economics, Elsevier, vol. 26(C), pages 31-41.

    More about this item

    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:wly:hlthec:v:27:y:2018:i:3:p:557-575. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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.