IDEAS home Printed from https://ideas.repec.org/a/gmf/journl/y2017i44p4764.html
   My bibliography  Save this article

A utilização da experiência de escolha discreta na valoração de estados de saúde

Author

Listed:
  • Patrícia Antunes

    (Administração Regional de Saúde do Centro e CEISUC)

  • Pedro Lopes Ferreira

    (Faculdade de Economia da Universidade de Coimbra e CEISUC)

  • Lara N. Ferreira

    (Faculdade de Economia da Universidade de Coimbra e CEISUC)

Abstract

Discrete Choice Experiment (DCE) is a technique for preferences elicitation that recently started to be used in health economics. This study aimed to identify and describe the stages of design construction of this technique and to assess their implementation in health economics papers that address the elicitation of health state values. Published research studies were selected implementing DCE in the valuation of health status. All nine evaluated studies explain the five main: identification of attributes, identification of levels of attributes, experimental design, data collection and analysis. The analysis performed evidenced that the DCE building steps are in general followed.

Suggested Citation

  • Patrícia Antunes & Pedro Lopes Ferreira & Lara N. Ferreira, 2017. "A utilização da experiência de escolha discreta na valoração de estados de saúde," Notas Económicas, Faculty of Economics, University of Coimbra, issue 44, pages 47-64, July.
    • Handle: RePEc:gmf:journl:y:2017:i:44:p:47:64
    DOI: 10.14195/2183-203X_44_3
    as

    Download full text from publisher

    File URL: https://impactum-journals.uc.pt/notaseconomicas/article/view/2183-203X_44_3/4303
    Download Restriction: no
    File URL: https://libkey.io/10.14195/2183-203X_44_3?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
    ---><---

    More about this item

    Keywords

    Discrete choice experiment; elicitation of preferences; discrete choice model.;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    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:gmf:journl:y:2017:i:44:p:47:64. 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: Sofia Antunes (email available below). General contact details of provider: https://edirc.repec.org/data/fecucpt.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.