The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The Impact of Obesity on Wages
Abstract
Previous studies of the relationship between body weight and wages have found mixed results. This paper uses a larger data set and several regression strategies in an attempt to generate more consistent estimates of the effect of weight on wages. Differences across gender, race, and ethnicity are explored. This paper finds that weight lowers wages for white females; OLS estimates indicate that a difference in weight of two standard deviations (roughly 65 pounds) is associated with a difference in wages of 9 percent. In absolute value, this is equivalent to the wage effect of roughly one and a half years of education or three years of work experience. Negative correlations between weight and wages observed for other gender-ethnic groups appear to be due to unobserved heterogeneity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. (1994) · doi:10.3386/t0151 · Cited by 5,302
Prevalence and Trends in Overweight Among US Children and Adolescents, 1999-2000
Ogden, C. L. (2002) · JAMA · doi:10.1001/jama.288.14.1728 · Cited by 4,060
Overweight and obesity in the United States: prevalence and trends, 1960–1994
Flegal, K., Carroll, M., Kuczmarski, R., & Johnson, C. (1998) · International Journal of Obesity · doi:10.1038/sj.ijo.0800541 · Cited by 3,045
Genetic and Environmental Factors in Relative Body Weight and Human Adiposity
Maes, H. H. M., Neale, M. C., & Eaves, L. J. (1997) · Behavior Genetics · doi:10.1023/a:1025635913927 · Cited by 1,515
An Adoption Study of Human Obesity
Stunkard, A. J., Sørensen, T. I. A., Hanis, C., Teasdale, T. W., Chakraborty, R., Schull, W. J., & Schulsinger, F. (1986) · New England Journal of Medicine · doi:10.1056/nejm198601233140401 · Cited by 1,318
Cited by
The Stigma of Obesity: A Review and Update
Puhl, R. M., & Heuer, C. A. (2009) · Obesity · doi:10.1038/oby.2008.636 · Cited by 3,323
Understanding differences in health behaviors by education
Cutler, D. M., & Lleras-Muney, A. (2010) · Journal of Health Economics · doi:10.1016/j.jhealeco.2009.10.003 · Cited by 1,920
“Measured obesity rates are generally 3–4 percent higher than self-reported rates ( Cawley, 2004; Cawley and Burkhauser, 2006).”
BackgroundFood Insecurity Affects School Children’s Academic Performance, Weight Gain, and Social Skills–
Jyoti, D. F., Frongillo, E. A., & Jones, S. J. (2005) · The Journal of Nutrition · doi:10.1093/jn/135.12.2831 · Cited by 888
Is Fat a Feminist Issue? Exploring the Gendered Nature of Weight Bias
Fikkan, J. L., & Rothblum, E. D. (2012) · Sex Roles · doi:10.1007/s11199-011-0022-5 · Cited by 455
Tomiyama, A. J., Hunger, J. M., Nguyen-Cuu, J., & Wells, C. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.17 · Cited by 349
Metadata
- Authors
- Cawley, J.
- Venue
- Journal of Human Resources
- Publisher
- University of Wisconsin Press
- Published
- 2004
- Volume
- XXXIX
- Issue
- 2
- Pages
- 451-474
- ISSN
- 0022-166X (ISSN-L)
- 1548-8004
- OpenAlex
- W2110630371
- Cited by
- 832
- References
- 6
- FWCI
- 72.70
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.