IDEAS home Printed from https://ideas.repec.org/p/irs/cepswp/2019-08.html
   My bibliography  Save this paper

Education-health relationship: New evidence from a distributional perspective

Author

Listed:
  • KYZYMA Iryna
  • PI ALPERIN Maria Noel

Abstract

Using data from the Survey of Health, Ageing and Retirement in Europe (SHARE), this paper identifies the education gradient in health and explores its underlying factors using a distributional approach. We start by constructing a separate health distribution for two education subgroups - the lower and higher educated - and compare the difference in the level of health between them at each point of the distribution. As a next step, we perform a semi-parametric decomposition exercise to explore which factors lie behind the observed health differential. In line with previous studies we find that, on average, higher educated people enjoy better health than those who are lower educated. We show, however, that the difference is not constant along the health distribution, with the gap being several times bigger at the top of the distribution than at its bottom. We also find that around 65 percent of the health gap between the lower and higher educated can be explained by the subgroup differences in demographic, labor market, and behavioral characteristics.

Suggested Citation

  • KYZYMA Iryna & PI ALPERIN Maria Noel, 2019. "Education-health relationship: New evidence from a distributional perspective," LISER Working Paper Series 2019-08, LISER.
  • Handle: RePEc:irs:cepswp:2019-08
    as

    Download full text from publisher

    File URL: https://www.liser.lu/publi_viewer.cfm?tmp=4326
    Download Restriction: no

    More about this item

    Keywords

    health inequality; educational gradient; health differential; distributional approach; decomposition;

    JEL classification:

    • D30 - Microeconomics - - Distribution - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:irs:cepswp:2019-08. 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: (Library and Documentation). General contact details of provider: http://edirc.repec.org/data/cepsslu.html .

    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.