IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/27948.html
   My bibliography  Save this paper

Moneyball in Medicare: Heterogeneous Treatment Effects

Author

Listed:
  • Edward C. Norton
  • Emily J. Lawton
  • Jun Li

Abstract

One of the most important changes to the United States health care system over the last two decades is the emergence of pay-for-performance as a way to encourage hospitals and other providers to improve quality of care. Unlike fee-for-service, these value-based purchasing programs measure aspects of quality and financially reward hospitals that are outstanding or at least improving in their care. Prior research has shown that hospitals often improve more when the marginal financial incentives are larger. However, the exact relationship between marginal financial incentives and year-over-year improvement in measures remains unclear. In this study, we use national 2015 2018 data on approximately 2,700 hospitals to estimate how hospitals respond to pay-for-performance incentives in the Hospital Value-Based Purchasing (HVBP) Program. We show that this relationship is non-linear, has strong serial correlation, is somewhat similar for safety-net hospitals as non-safety-net hospitals, and is proportional to the size of the Medicare patient population.

Suggested Citation

  • Edward C. Norton & Emily J. Lawton & Jun Li, 2020. "Moneyball in Medicare: Heterogeneous Treatment Effects," NBER Working Papers 27948, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27948
    Note: EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w27948.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrew I. Friedson & William C. Horrace & Allison F. Marier, 2019. "So Many Hospitals, So Little Information: How Hospital Value‐Based Purchasing Is a Game of Chance," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 773-799, October.
    Full references (including those not matched with items on IDEAS)

    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. William C. Horrace & Christopher F. Parmeter, 2017. "Accounting for Multiplicity in Inference on Economics Journal Rankings," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 337-347, July.

    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:27948. 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.