Do Body Composition Measures Affect Wages Across Genders?

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The paper investigates the impact of body composition on wages, specifically focusing on body fat (BF) and fat-free mass (FFM) using data from the National Health and Nutrition Examination Survey III and the National Longitudinal Survey of Youth 1979. Findings reveal that increased body fat correlates with lower wages for both genders, contrasting with previous studies that primarily used body mass index (BMI) and yielded mixed results. Additionally, higher fat-free mass is linked to increased hourly wages. The study addresses limitations in existing literature by emphasizing the importance of distinguishing between body fat and fat-free mass, arguing that this distinction offers a clearer understanding of obesity's economic implications. The discussion also touches on societal perceptions of body weight, suggesting that individuals with higher body fat may experience negative biases, while those with a fit appearance receive more favorable treatment. Concerns about the age of study participants and its potential influence on body composition and income are also raised, highlighting the complexity of the relationship between body composition and wages.
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http://papers.nber.org/papers/w13595

This paper examines the effect of body composition on wages. We develop measures of body composition – body fat (BF) and fat-free mass (FFM) – using data on bioelectrical impedance analysis (BIA) that are available in the National Health and Nutrition Examination Survey III and estimate wage models for respondents in the National Longitudinal Survey of Youth 1979. Our results indicate that increased body fat is unambiguously associated with decreased wages for both males and females. This result is in contrast to the mixed and sometimes inconsistent results from the previous research using body mass index (BMI). We also find new evidence indicating that a higher level of fat-free body mass is consistently associated with increased hourly wages. We present further evidence that these results are not the artifacts of unobserved heterogeneity. Our findings are robust to numerous specification checks and to a large number of alternative BIA prediction equations from which the body composition measures are derived.

Our work addresses an important limitation of the current literature on the economics of obesity. Previous research relied on body weight or BMI for measuring obesity despite the growing agreement in the medical literature that they represent misleading measures of obesity because of their inability to distinguish between body fat and fat-free body mass. Body composition measures used in this paper represent significant improvements over the previously used measures because they allow for the effects of fat and fat free components of body composition to be separately identified. Our work also contributes to the growing literature on the role of non-cognitive characteristics on wage determination.

:cry: :cry: :cry:
 
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This isn't taking into amount the money they spend on food. :D
 
The top wage earner in my office must weigh over 300 pounds. She can barley walk.
 
Evo; OMG, that must be so painful to her. Is she wheezing too?

Everyone hates fat people. (ok not everyone, nice people don't do it, but your average joe). Because they find them "lazy" for not getting into shape, for prioritizing looking like an california specimen of man eating vegan and health-nut foods.

I remember when I weighed over 200 pounds, man it was both really irritating, getting less sleep, being miserable etc. But, the most peculiar part is that now when I am fit; People are more nice to me. I get better service, people think I am more "capable" etc. That is FUBAR.
 
Now, when you say "people", is it ALL people or just the skinny ones who treat you better?
 
Yeah, even the fatties treat me better. But the skinny or "normative" ones treat me even better.
 
I'm taking a course in gerontology, and one of the things that was discussed was that people lose muscle-mass when they get into their later years. Fat Free Mass declines. Since that's on my mind, I couldn't help but wonder if about the ages of the people in the study. People of retirement age in the study would likely have both lower FFM and lower incomes. It seems that would have some effect on the results.
 

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