IDEAS home Printed from https://ideas.repec.org/a/spr/irpnmk/v5y2008i2p201-203.html
   My bibliography  Save this article

Using discrete choice experiments to value health and health care

Author

Listed:
  • Ramón Álvarez-Esteban

Abstract

No abstract is available for this item.

Suggested Citation

  • Ramón Álvarez-Esteban, 2008. "Using discrete choice experiments to value health and health care," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 5(2), pages 201-203, December.
    • Handle: RePEc:spr:irpnmk:v:5:y:2008:i:2:p:201-203
    DOI: 10.1007/s12208-008-0014-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s12208-008-0014-5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s12208-008-0014-5?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. Alison Barber & Paul Hansen & Ray Naden & Franz Ombler & Ralph Stewart, 2011. "Who's next? A new process for creating points systems for prioritising patients for elective health services," Working Papers 1104, University of Otago, Department of Economics, revised Jul 2011.
    2. Sung-Hee Jeon & Jeremiah Hurley, 2010. "Physician Resource Planning in Canada: The Need for a Stronger Behavioural Foundation," Canadian Public Policy, University of Toronto Press, vol. 36(3), pages 359-375, September.
    3. Colin Green & Karen Gerard, 2009. "Exploring the social value of health‐care interventions: a stated preference discrete choice experiment," Health Economics, John Wiley & Sons, Ltd., vol. 18(8), pages 951-976, August.
    4. Vishva Danthurebandara & Jie Yu & Martina Vandebroek, 2011. "Sequential choice designs to estimate the heterogeneity distribution of willingness-to-pay," Quantitative Marketing and Economics (QME), Springer, vol. 9(4), pages 429-448, December.
    5. Ofra Golan & Paul Hansen & Giora Kaplan & Orna Tal, 2010. "Health Technology Prioritisation: Which criteria for prioritising new technologies, and what are their relative weights?," Working Papers 1006, University of Otago, Department of Economics, revised Jul 2010.

    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:spr:irpnmk:v:5:y:2008:i:2:p:201-203. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.