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Title: Quantile Regression Analysis of Body Mass and Wages
Resulting in 1 citation.
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Johar, Meliyanni Katayama, Hajime |
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Quantile Regression Analysis of Body Mass and Wages Health Economics 21,5 (May 2012): 597-611. Also: http://onlinelibrary.wiley.com/doi/10.1002/hec.1736/abstract Cohort(s): NLSY79 Publisher: Wiley Online Keyword(s): Body Mass Index (BMI); Endogeneity; Ethnic Differences; Gender Differences; Racial Differences; Social Capital; Wage Determination; Wage Differentials; Wages Permission to reprint the abstract has not been received from the publisher. Using the National Longitudinal Survey of Youth 1979, we explore the relationship between body mass and wages. We use quantile regression to provide a broad description of the relationship across the wage distribution. We also allow the relationship to vary by the degree of social skills involved in different jobs. Our results find that for female workers body mass and wages are negatively correlated at all points in their wage distribution. The strength of the relationship is larger at higher-wage levels. For male workers, the relationship is relatively constant across wage distribution but heterogeneous across ethnic groups. When controlling for the endogeneity of body mass, we find that additional body mass has a negative causal impact on the wages of white females earning more than the median wages and of white males around the median wages. Among these workers, the wage penalties are larger for those employed in jobs that require extensive social skills. These findings may suggest that labor markets reward white workers for good physical shape differently, depending on the level of wages and the type of job a worker has. Copyright © 2011 John Wiley & Sons, Ltd. |
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Bibliography Citation
Johar, Meliyanni and Hajime Katayama. "Quantile Regression Analysis of Body Mass and Wages." Health Economics 21,5 (May 2012): 597-611.
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