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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
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    File URL: http://www.child.carloalberto.org/images/wp/child23_2007.pdf
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    Citations

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    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;
    All these keywords.

    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

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