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Related Concept Videos

Weighted Mean00:57

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
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Mass and weight are often used interchangeably in everyday conversation. For example,  medical records often show our weight in kilograms, but never in the correct units of newtons. In physics, however, there is an important distinction. Weight is the pull of the Earth on an object. It depends on the distance from the center of the Earth. Weight dramatically varies if we leave the Earth's surface, unlike mass, which does not vary with location. On the Moon, for example, the acceleration due to...
Mass and Weight01:19

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Weight and wages: fat versus lean paychecks.

Euna Han1, Edward C Norton, Sally C Stearns

  • 1Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL 60608, USA. eunahan@uic.edu

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|August 5, 2008
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Higher body mass index (BMI) is linked to lower wages, especially in jobs requiring social interaction. This wage penalty grows with age and affects employment probability for most groups, except Black men and women.

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Area of Science:

  • Labor Economics
  • Health Economics
  • Sociology

Background:

  • Previous studies indicate a negative correlation between body mass index (BMI) and wages.
  • The nuances of this relationship across different demographics and occupations remain underexplored.

Purpose of the Study:

  • To examine how non-linear body mass index (BMI) groups affect wages, considering variations by gender, age, and occupational social interaction requirements.
  • To analyze the impact of overweight and obesity on employment probability across different race-gender subgroups.

Main Methods:

  • Utilized data from the National Longitudinal Survey of Youth 1979 (1982-1998).
  • Employed regression analysis to assess the marginal effects of BMI on wages and employment.
  • Differentiated analysis by gender, age cohorts, and occupational characteristics.

Main Results:

  • The negative wage-BMI relationship is amplified in occupations demanding higher interpersonal skills.
  • The wage penalty associated with BMI increases significantly for individuals older than their mid-twenties.
  • Overweight and obesity negatively impact employment probability for most race-gender groups, with notable exceptions for Black men and women.

Conclusions:

  • Occupational social demands and age are critical moderators of the BMI-wage relationship.
  • Weight-based discrimination in employment appears prevalent, though with demographic variations.
  • Potential employer or consumer bias against obese workers may explain the observed wage and employment disparities.