Body Weight and Women&Apos;S Labor Market Outcomes

Several studies have found that, all else equal, heavier women earn less. Previous research has been unable to determine whether high weight is the cause of low wages, the result of low wages, or whether unobserved factors cause both higher weight and lower wages. Applying the method of instrumental variables to data from the National Longitudinal Survey of Youth, this paper attempts to generate consistent estimates of the effect of weight on labor market outcomes for women. Three labor market outcomes are studied: hourly wages, employment, and sector of occupation. This paper finds that weight lowers wages for white women; among this group, a difference in weight of two standard deviations (roughly sixty-five pounds) is associated with a difference in wages of 7%. In absolute value, this is equivalent to the wage effect of roughly one year of education, two years of job tenure, or three years of work experience. In contrast, this paper finds only weak evidence that weight lowers wages for hispanic women, and no evidence that weight lowers the wages of black women. This paper also concludes that there is no effect of weight on the probability of employment or sector of occupation.

[1]  A. Stunkard,et al.  An adoption study of human obesity. , 1986, The New England journal of medicine.

[2]  David A. Jaeger,et al.  Problems with Instrumental Variables Estimation when the Correlation between the Instruments and the Endogenous Explanatory Variable is Weak , 1995 .

[3]  Ernst R. Berndt,et al.  The Practice of Econometrics , 1991 .

[4]  S. Korenman,et al.  The Economic Reality of the Beauty Myth , 1993 .

[5]  W H Dietz,et al.  Social and economic consequences of overweight in adolescence and young adulthood. , 1993, The New England journal of medicine.

[6]  John Bound,et al.  Measurement error in survey data , 2001 .

[7]  D C Rao,et al.  Influences of genes and shared family environment on adult body mass index assessed in an adoption study by a comprehensive path model. , 1995, International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity.

[8]  A. Howard Recent Advances in Obesity Research , 1974 .

[9]  C. Grilo,et al.  The nature of environmental influences on weight and obesity: a behavior genetic analysis. , 1991, Psychological bulletin.

[10]  A. Stunkard,et al.  Childhood body mass index--genetic and familial environmental influences assessed in a longitudinal adoption study. , 1992, International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity.

[11]  Lung-fei Lee,et al.  Estimation of Linear and Nonlinear Errors-in-Variables Models Using Validation Data , 1995 .

[12]  M. Neale,et al.  Genetic and Environmental Factors in Relative Body Weight and Human Adiposity , 1997, Behavior genetics.

[13]  A. Mokdad,et al.  The spread of the obesity epidemic in the United States, 1991-1998. , 1999, JAMA.

[14]  I. Gottesman,et al.  Body fat in identical twins reared apart: Roles for genes and environment , 1991, Behavior genetics.

[15]  J. Hausman Specification tests in econometrics , 1978 .

[16]  J. Heckman Sample selection bias as a specification error , 1979 .

[17]  A. Stunkard,et al.  Correlations of body mass index of adult adoptees and their biological and adoptive relatives. , 1992, International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity.

[18]  E Jonsson,et al.  Economic consequences of sick-leave and early retirement in obese Swedish women. , 1996, International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity.

[19]  T I Sørensen,et al.  Does obesity run in families because of genes? , 1993, Acta psychiatrica Scandinavica. Supplementum.

[20]  Whitney K. Newey,et al.  Efficient estimation of limited dependent variable models with endogenous explanatory variables , 1987 .

[21]  G A Colditz,et al.  Current estimates of the economic cost of obesity in the United States. , 1998, Obesity research.

[22]  Claude Bouchard,et al.  Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults. , 1998, WMJ : official publication of the State Medical Society of Wisconsin.

[23]  David A. Jaeger,et al.  The Cure Can Be Worse than the Disease: A Cautionary Tale Regarding Instrumental Variables , 1993 .

[24]  Peter Schmidt,et al.  Some Properties of Tests for Specification Error in a Linear Regression Model , 1977 .

[25]  I. Näslund,et al.  Social and Economic Effects of Bariatric Surgery , 1991, Obesity surgery.

[26]  A. Stunkard,et al.  Socioeconomic status and obesity: a review of the literature. , 1989, Psychological bulletin.

[27]  J. Stock,et al.  Instrumental Variables Regression with Weak Instruments , 1994 .

[28]  H. E. Ransford,et al.  The Relationship Between Weight and Career Payoffs Among Women , 1999 .

[29]  M. Carroll,et al.  Overweight and obesity in the United States: prevalence and trends, 1960–1994 , 1998, International Journal of Obesity.

[30]  J. Kaprio,et al.  The heritability of body mass index among an international sample of monozygotic twins reared apart. , 1996, International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity.

[31]  Kevin M. Murphy,et al.  Estimation and Inference in Two-Step Econometric Models , 1985 .