Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0254785.html
   My bibliography  Save this article

Body shape matters: Evidence from machine learning on body shape-income relationship

Author

Listed:
  • Suyong Song
  • Stephen Baek
Abstract
The association between physical appearance and income has been of central interest in social science. However, most previous studies often measured physical appearance using classical proxies from subjective opinions based on surveys. In this study, we use novel data, called CAESAR, which contains three-dimensional (3D) whole-body scans to mitigate possible reporting and measurement errors. We demonstrate the existence of significant nonclassical reporting errors in the reported heights and weights by comparing them with measured counterparts, and show that these discrete measurements are too sparse to provide a complete description of the body shape. Instead, we use a graphical autoencoder to obtain intrinsic features, consisting of human body shapes directly from 3D scans and estimate the relationship between body shapes and family income. We also take into account a possible issue of endogenous body shapes using proxy variables and control functions. The estimation results reveal a statistically significant relationship between physical appearance and family income and that these associations differ across genders. This supports the hypothesis on the physical attractiveness premium in labor market outcomes and its heterogeneity across genders.

Suggested Citation

  • Suyong Song & Stephen Baek, 2021. "Body shape matters: Evidence from machine learning on body shape-income relationship," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-17, July.
    • Handle: RePEc:plo:pone00:0254785
    DOI: 10.1371/journal.pone.0254785
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0254785
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0254785&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0254785?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, January.
    2. Hamermesh, Daniel S & Biddle, Jeff E, 1994. "Beauty and the Labor Market," American Economic Review, American Economic Association, vol. 84(5), pages 1174-1194, December.
    3. Nicola Persico & Andrew Postlewaite & Dan Silverman, 2004. "The Effect of Adolescent Experience on Labor Market Outcomes: The Case of Height," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 1019-1053, October.
    4. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    5. Kamhon Kan & Myoung‐Jae Lee, 2012. "Lose weight for a raise only if overweight: Marginal integration for semi‐linear panel models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(4), pages 666-685, June.
    6. Nicola Persico & Andrew Postlewaite & Dan Silverman, 2001. "The Effect of Adolescent Experience on Labor Market Outcomes: The Case of Height, Third Version," PIER Working Paper Archive 04-013, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 15 Mar 2004.
    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. Suyong Song & Stephen S. Baek, 2019. "Shape Matters: Evidence from Machine Learning on Body Shape-Income Relationship," Papers 1906.06747, arXiv.org.
    2. Lee, Wang-Sheng, 2014. "Big and Tall: Is there a Height Premium or Obesity Penalty in the Labor Market?," IZA Discussion Papers 8606, Institute of Labor Economics (IZA).
    3. Brunello, Giorgio & D'Hombres, Beatrice, 2007. "Does body weight affect wages?: Evidence from Europe," Economics & Human Biology, Elsevier, vol. 5(1), pages 1-19, March.
    4. Böckerman, Petri & Vainiomäki, Jari, 2013. "Stature and life-time labor market outcomes: Accounting for unobserved differences," Labour Economics, Elsevier, vol. 24(C), pages 86-96.
    5. Dechter, Evgenia Kogan, 2015. "Physical appearance and earnings, hair color matters," Labour Economics, Elsevier, vol. 32(C), pages 15-26.
    6. Han, Euna & Norton, Edward C. & Powell, Lisa M., 2011. "Direct and indirect effects of body weight on adult wages," Economics & Human Biology, Elsevier, vol. 9(4), pages 381-392.
    7. LIU Xing & SIERMINSKA Eva, 2014. "Evaluating the effect of beauty on labor market outcomes: A review of the literature," LISER Working Paper Series 2014-11, Luxembourg Institute of Socio-Economic Research (LISER).
    8. Ongena, S. & Popov, A., 2013. "Take Care Of Home And Family, Honey, And Let Me Take Care Of The Money. Gender Bias And Credit Market Barriers For Female Entrepreneurs," Other publications TiSEM 6e4843b2-e333-48f5-bf18-7, Tilburg University, School of Economics and Management.
    9. Kavetsos, Georgios, 2011. "The impact of physical activity on employment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(6), pages 775-779.
    10. Johansson, Edvard & Böckerman, Petri & Kiiskinen, Urpo & Heliövaara, Markku, 2009. "Obesity and labour market success in Finland: The difference between having a high BMI and being fat," Economics & Human Biology, Elsevier, vol. 7(1), pages 36-45, March.
    11. Ronald DeBeaumont & Robert Girtz, 2019. "The Mediation Effect of Self-Esteem on Weight and Earnings," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(4), pages 415-427, December.
    12. Wada, Roy & Tekin, Erdal, 2010. "Body composition and wages," Economics & Human Biology, Elsevier, vol. 8(2), pages 242-254, July.
    13. Rooth, Dan-Olof, 2011. "Work out or out of work -- The labor market return to physical fitness and leisure sports activities," Labour Economics, Elsevier, vol. 18(3), pages 399-409, June.
    14. Johnston, David W., 2010. "Physical appearance and wages: Do blondes have more fun?," Economics Letters, Elsevier, vol. 108(1), pages 10-12, July.
    15. DeBeaumont, Ronald, 2009. "Occupational differences in the wage penalty for obese women," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(2), pages 344-349, March.
    16. Fletcher, Jason M., 2009. "Beauty vs. brains: Early labor market outcomes of high school graduates," Economics Letters, Elsevier, vol. 105(3), pages 321-325, December.
    17. Steven Ongena & Alexander Popov, 2016. "Gender Bias and Credit Access," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(8), pages 1691-1724, December.
    18. Atella, Vincenzo & Pace, Noemi & Vuri, Daniela, 2008. "Are employers discriminating with respect to weight?: European Evidence using Quantile Regression," Economics & Human Biology, Elsevier, vol. 6(3), pages 305-329, December.
    19. Heineck, Guido, 2008. "A note on the height-wage differential in the UK - Cross-sectional evidence from the BHPS," Economics Letters, Elsevier, vol. 98(3), pages 288-293, March.
    20. Astghik Mavisakalyan, 2016. "Looks matter: Attractiveness and employment in the former soviet union," Bankwest Curtin Economics Centre Working Paper series WP1604, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.

    More about this item

    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:plo:pone00:0254785. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.