IDEAS home Printed from https://ideas.repec.org/p/wpc/wplist/wp23_07.html
   My bibliography  Save this paper

Wages and Weight in Europe: Evidence using Quantile Regression Model

Author

Listed:
  • Vincenzo Atella

    ()

  • Noemi Pace
  • Daniela Vuri

    ()

Abstract

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.

Suggested Citation

  • Vincenzo Atella & Noemi Pace & Daniela Vuri, 2007. "Wages and Weight in Europe: Evidence using Quantile Regression Model," CHILD Working Papers wp23_07, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
  • Handle: RePEc:wpc:wplist:wp23_07
    as

    Download full text from publisher

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

    Citations

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


    Cited by:

    1. Federico A.Todeschini & José María Labeaga & Sergi Jiménez Martín, 2010. "Killing by lung cancer or by diabetes? The trade-off between smoking and obesity," Working Papers 2010-16, FEDEA.
    2. De Agostini, Paola, 2014. "The effect of food prices and household income on the British diet," ISER Working Paper Series 2014-10, Institute for Social and Economic Research.

    More about this item

    Keywords

    quantile treatment effect; obesity; wages; endogeneity;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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: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). General contact details of provider: http://edirc.repec.org/data/childit.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.