IDEAS home Printed from https://ideas.repec.org/a/fan/steste/vhtml10.3280-ste2009-097004.html
   My bibliography  Save this article

Is Health Care demand rationed by income and other determinants? An empirical assessment for Italy

Author

Listed:
  • Rossella Bardazzi

Abstract

The Italian national health service was funded in 1978 with the goal of providing uniform and comprehensive care under the inspiration of the Republic’s Constitution. It is important to assess to what extent the health service meets the potential demand of the population and if the socio-economic status of the patient - mainly income and education - may ration the access to healthcare. This paper offers an empirical assessment of the determinants of healthcare demand in Italy for a detailed range of services including diagnostic tests and hospital services, not often analyzed in the empirical literature. An econometric hurdle model is applied to individual microdata from a large-scale survey. From our results, some accessibility problems seem to arise for persons who have fewer alternatives in the private market - with lower income, less educated, not privately insured - and living in the Southern part of the country.

Suggested Citation

  • Rossella Bardazzi, 2009. "Is Health Care demand rationed by income and other determinants? An empirical assessment for Italy," STUDI ECONOMICI, FrancoAngeli Editore, vol. 0(97), pages 111-143.
  • Handle: RePEc:fan:steste:v:html10.3280/ste2009-097004
    as

    Download full text from publisher

    File URL: http://www.francoangeli.it/riviste/Scheda_Rivista.aspx?IDArticolo=37295&Tipo=ArticoloPDF
    Download Restriction: Single articles can be downloaded buying download credits, for info: http://www.francoangeli.it/riviste/inglese_download_credit.asp

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

    More about this item

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

    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:fan:steste:v:html10.3280/ste2009-097004. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Angelo Ventriglia). General contact details of provider: http://www.francoangeli.it/riviste/sommario.asp?IDRivista=59 .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.