IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Wages and Weight in Europe: Evidence using Quantile Regression Model

  • Vincenzo Atella

    ()

  • Noemi Pace
  • Daniela Vuri

    ()

The aim of this research is to investigate the relationship between obesity and wages, using data for nine countries from the European Com- munity Household Panel (ECHP) over the period 1998-2001. We improve upon the existing literature by adopting a Quantile Regression approach to characterize the heterogenous impact of obesity at different points of the wage distribution. Our results show that i) the evidence obtained from mean regression and pooled analysis hides a significant amount of heterogeneity as the relationship between obesity and wages differs across countries and wages quantiles and ii) cultural, environmental or insti- tutional settings do not seem to be able to explain differences among countries, leaving room for a pure discriminatory effect hypothesis.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.child.carloalberto.org/images/wp/child23_2007.pdf
Download Restriction: no

Paper provided by CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY in its series CHILD Working Papers with number wp23_07.

as
in new window

Length: 55 pages
Date of creation: Sep 2007
Date of revision:
Handle: RePEc:wpc:wplist:wp23_07
Contact details of provider: Postal: Via Po 53 10124 Turin
Phone: 39-011=6702726
Fax: 39-011-6702762
Web page: http://www.carloalberto.org/child-collegiocarloalberto/
Email:


More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wpc:wplist:wp23_07. 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: (Giovanni Bert)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.