IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/4521.html
   My bibliography  Save this paper

The Economic Reality of the Beauty Myth

Author

Listed:
  • Susan Averett
  • Sanders Korenman

Abstract

We investigate income, marital status, and hourly pay differentials by body mass (kg/m2) in a sample of 23 to 31 year olds drawn from the 1988 NLSY. Obese women have lower family incomes than women whose weight-for-height is in the 'recommended' range. Results for men are weaker and mixed. We find similar results when we compare same-sex siblings in order to control for family background (e.g., social class) differences. Differences in economic status by body mass for women increase markedly when we use an earlier weight measure or restrict the sample to persons who were single and childless when the early weight was reported. There is some evidence of labor market discrimination against obese women. However, differences in marriage probabilities and in spouse's earnings account for 50 to 95 percent of their lower economic status. There is no evidence that obese African American women suffer an economic penalty relative to other African American women.

Suggested Citation

  • Susan Averett & Sanders Korenman, 1993. "The Economic Reality of the Beauty Myth," NBER Working Papers 4521, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:4521
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w4521.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mincer, Jacob & Polachek, Solomon, 1974. "Family Investment in Human Capital: Earnings of Women," Journal of Political Economy, University of Chicago Press, vol. 82(2), pages 76-108, Part II, .
    2. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    3. Randall K. Filer, 1993. "The Usefulness of Predicted Values for Prior Work Experience in Analyzing Labor Market Outcomes for Women," Journal of Human Resources, University of Wisconsin Press, vol. 28(3), pages 519-537.
    4. Richard H. Steckel, 1992. "Stature and Living Standards in the United States," NBER Chapters, in: American Economic Growth and Standards of Living before the Civil War, pages 265-310, National Bureau of Economic Research, Inc.
    5. Zuckerman, D.M. & Colby, A. & Ware, N.C. & Lazerson, J.S., 1986. "The prevalence of bulimia among college students," American Journal of Public Health, American Public Health Association, vol. 76(9), pages 1135-1137.
    6. Drewnowski, A. & Hopkins, S.A. & Kessler, R.C., 1988. "The prevalence of bulimia nervosa in the US College Student population," American Journal of Public Health, American Public Health Association, vol. 78(10), pages 1322-1325.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zveglich, Joseph E. & van der Meulen Rodgers, Yana & Laviña, Editha A., 2019. "Expected work experience and the gender wage gap: A new human capital measure," Economic Modelling, Elsevier, vol. 83(C), pages 372-383.
    2. Braga, Breno, 2018. "Earnings dynamics: The role of education throughout a worker’s career," Labour Economics, Elsevier, vol. 52(C), pages 83-97.
    3. Averett, Susan L. & Burton, Mark L., 1996. "College attendance and the college wage premium: Differences by gender," Economics of Education Review, Elsevier, vol. 15(1), pages 37-49, February.
    4. Buligescu, B. & de Crombrugghe, D.P.I. & Mentesoglu, G. & Montizaan, R.M., 2008. "Estimating the wage penalty for maternal leave," ROA Research Memorandum 005, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    5. Royalty, Anne Beeson, 1998. "Job-to-Job and Job-to-Nonemployment Turnover by Gender and Education Level," Journal of Labor Economics, University of Chicago Press, vol. 16(2), pages 392-443, April.
    6. Laisney, François & Pohlmeier, Winfried & Staat, Matthias, 1991. "Estimation of labour supply functions using panel data: a survey," ZEW Discussion Papers 91-05, ZEW - Leibniz Centre for European Economic Research.
    7. Wang, Hui & Riedinger, Jeffrey & Jin, Songqing, 2015. "Land documents, tenure security and land rental development: Panel evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 220-235.
    8. Francine D. Blau & Lawrence Kahn, 1995. "The Gender Earnings Gap: Some International Evidence," NBER Chapters, in: Differences and Changes in Wage Structures, pages 105-144, National Bureau of Economic Research, Inc.
    9. Miyoshi, Koyo, 2008. "Male-female wage differentials in Japan," Japan and the World Economy, Elsevier, vol. 20(4), pages 479-496, December.
    10. T.R.L. Fry & R.D. Brooks & Br. Comley & J. Zhang, 1993. "Economic Motivations for Limited Dependent and Qualitative Variable Models," The Economic Record, The Economic Society of Australia, vol. 69(2), pages 193-205, June.
    11. Babigumira, Ronnie & Angelsen, Arild & Buis, Maarten & Bauch, Simone & Sunderland, Terry & Wunder, Sven, 2014. "Forest Clearing in Rural Livelihoods: Household-Level Global-Comparative Evidence," World Development, Elsevier, vol. 64(S1), pages 67-79.
    12. Kadreva, Olga, 2016. "The influence of quantity and age of children on working women’ salaries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 41, pages 62-77.
    13. Das, Marcel & van Soest, Arthur, 1999. "A panel data model for subjective information on household income growth," Journal of Economic Behavior & Organization, Elsevier, vol. 40(4), pages 409-426, December.
    14. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    15. Patrick Lee O'Halloran, 2008. "Gender Differences in Formal On‐the‐Job Training: Incidence, Duration, and Intensity," LABOUR, CEIS, vol. 22(4), pages 629-659, December.
    16. Chernozhukov, Victor & Fernández-Val, Iván & Hoderlein, Stefan & Holzmann, Hajo & Newey, Whitney, 2015. "Nonparametric identification in panels using quantiles," Journal of Econometrics, Elsevier, vol. 188(2), pages 378-392.
    17. Christoph Moser & Jan-Egbert Sturm, 2011. "Explaining IMF lending decisions after the Cold War," The Review of International Organizations, Springer, vol. 6(3), pages 307-340, September.
    18. Chen, Yi-Yi & Schmidt, Peter & Wang, Hung-Jen, 2014. "Consistent estimation of the fixed effects stochastic frontier model," Journal of Econometrics, Elsevier, vol. 181(2), pages 65-76.
    19. Wolfgang Keller & Arik Levinson, 1999. "Environmental Compliance Costs and Foreign Direct Investment Inflows to U.S. States," NBER Working Papers 7369, National Bureau of Economic Research, Inc.
    20. Ahlin, Christian & Kim, In Kyung & Kim, Kyoo il, 2021. "Who commits fraud? evidence from korean gas stations," International Journal of Industrial Organization, Elsevier, vol. 76(C).

    More about this item

    JEL classification:

    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:4521. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.