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Education and Body Mass Index: Evidence from ECHP

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  • R Nakamura
  • L Siciliani

Abstract

We study the association between education and body mass index across ten European countries (Denmark, Belgium, Greece, Spain, Ireland, Italy, Austria, Portugal, Finland and Sweden) using the European Community Household Panel. OLS and Probit estimation suggest that on average education is associated with lower BMI and a lower probability of being obese. For women, the difference of BMI between the lowest education group and the highest one ranges between -7.15% (Austria) and -2.43% (Finland). The reduction in the probability of being obese ranges between -7.18% (Spain) and -3% (Italy). For men, the reduction of BMI ranges between -4.29%(Denmark) and zero (Greece). The reduction in the probability of being obese ranges between -7.84% (Austria) and zero (Greece). Quantile regression suggests that the effect of education is larger at the upper quantiles than at the lower ones. Higher education also reduces the dispersion of the BMI distribution.

Suggested Citation

  • R Nakamura & L Siciliani, 2010. "Education and Body Mass Index: Evidence from ECHP," Discussion Papers 10/04, Department of Economics, University of York.
  • Handle: RePEc:yor:yorken:10/04
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    References listed on IDEAS

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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Education and Body Mass Index
      by Ariel Goldring in Free Market Mojo on 2010-04-01 13:16:45

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    Cited by:

    1. Daouli, Joan & Davillas, Apostolos & Demoussis, Michael & Giannakopoulos, Nicholas, 2013. "The determinants of body mass in Greece: Evidence from the National Health Survey," MPRA Paper 66392, University Library of Munich, Germany.

    More about this item

    Keywords

    Obesity; Body Mass Index; Education;

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I20 - Health, Education, and Welfare - - Education - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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