IDEAS home Printed from https://ideas.repec.org/p/ant/wpaper/2002034.html
   My bibliography  Save this paper

Measuring horizontal inequity in health care using Belgian panel data

Author

Listed:
  • VAN OURTI, Tom

Abstract

We estimate the determinants of utilisation of physician and hospital services in Belgium using four different regression techniques. We apply a one- and two-part panel count data model, and a oneand two part cross-section count data model. We conclude that the two-part panel count data model is most appropriate as it controls for unobserved heterogeneity and allows for a two-part decision making process. The estimates of the determinants of utilisation of health care are then used to calculate indices of horizontal inequity. We find that there is little difference between the indices based on cross-section and the indices based on panel estimators. We further present longitudinal evidence on equity in Belgian health care and find that all indices are stable across years. We also find that general practitioner and hospital care are pro-poor distributed, while horizontal equity applies to specialist care. We further show that the inequity might be different for (i) the probability to contact the health care sector, (ii) the conditional number of visits, and (iii) the unconditional number of visits.

Suggested Citation

  • VAN OURTI, Tom, 2002. "Measuring horizontal inequity in health care using Belgian panel data," Working Papers 2002034, University of Antwerp, Faculty of Business and Economics.
    • Handle: RePEc:ant:wpaper:2002034
    as

    Download full text from publisher

    File URL: https://repository.uantwerpen.be/docman/irua/a6c4fa/7c5fb30b.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ana I. Balsa & Máximo Rossi & Patricia Triunfo, 2011. "Horizontal Inequity in Access to Health Care in Four South American Cities," Revista de Economía del Rosario, Universidad del Rosario, June.
    2. Tom Van Ourti, 2004. "Measuring horizontal inequity in Belgian health care using a Gaussian random effects two part count data model," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 705-724, July.
    3. Anne Nolan, 2007. "A dynamic analysis of GP visiting in Ireland: 1995–2001," Health Economics, John Wiley & Sons, Ltd., vol. 16(2), pages 129-143, February.
    4. Mª Luz González Alvarez & Antonio Clavero Barranquero, 2008. "An analysis of income-related inequalities in the health care use by dynamic models," Hacienda Pública Española / Review of Public Economics, IEF, vol. 186(3), pages 9-42, October.

    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:ant:wpaper:2002034. 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: Joeri Nys (email available below). General contact details of provider: https://edirc.repec.org/data/ftufsbe.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.