IDEAS home Printed from https://ideas.repec.org/a/bpj/fhecpo/v4y2001n6.html
   My bibliography  Save this article

Creating Price Indexes for Measuring Productivity in Mental Health Care

Author

Listed:
  • Busch Susan H.

    (Division of Health Policy and Administration, Yale Medical School)

  • Berndt Ernst R.

    (Alfred P. Sloan School of Management, MIT and NBER)

  • Frank Richard G.

    (Department of Health Care Policy, Harvard Medical School and NBER)

Abstract

Economists have long suggested that to be reliable, a preferred medical care price index should employ time-varying weights to measure outcomes-adjusted changes in the price of treating an episode of illness. In this article, we report on several years of research developing alternative indexes for the treatment of the acute phase of major depression, for the period 1991-1996. The introduction of new treatment technologies in the past two decades suggests well-known measurement issues may be prominent in constructing such a price index.We report on the results of four successively re

Suggested Citation

  • Busch Susan H. & Berndt Ernst R. & Frank Richard G., 2001. "Creating Price Indexes for Measuring Productivity in Mental Health Care," Forum for Health Economics & Policy, De Gruyter, vol. 4(1), pages 1-35, January.
  • Handle: RePEc:bpj:fhecpo:v:4:y:2001:n:6
    DOI: 10.2202/1558-9544.1025
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1558-9544.1025
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.2202/1558-9544.1025?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Xue Song & William D. Marder & Robert Houchens & Jonathan E. Conklin & Ralph Bradley, 2009. "Can A Disease-Based Price Index Improve the Estimation of the Medical Consumer Price Index?," NBER Chapters, in: Price Index Concepts and Measurement, pages 329-368, National Bureau of Economic Research, Inc.
    2. David H. Howard & Peter B. Bach & Ernst R. Berndt & Rena M. Conti, 2015. "Pricing in the Market for Anticancer Drugs," NBER Working Papers 20867, National Bureau of Economic Research, Inc.

    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:bpj:fhecpo:v:4:y:2001:n:6. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.