IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v217y2024icp1-10.html
   My bibliography  Save this article

Beauty in the eyes of the beholder

Author

Listed:
  • Lindsay, Kellie B.
  • Smith, Ben O.
  • White, Dustin R.

Abstract

We investigate the unconscious influence of beauty on perceptions of commonly-sought employee traits. To do this, we develop a set of photos rated for “societal attractiveness” and use eye-tracking technology to measure participants' pupil sizes while they rate the same set of photos on perceived levels of competence, friendliness, and trustworthiness. We find that the same autonomic response to attractiveness occurs even when participants are asked to rate individuals on traits other than attractiveness. Each additional millimeter of pupil dilation results in about a seven percentage point increase in the perception of rated characteristics. Our data also suggest that societal and personal perceptions of beauty are substitutes rather than complements. These findings contribute to our understanding of the unconscious biases underlying the beauty premium and highlight the importance of considering both personal and societal perceptions of beauty in evaluating individuals. These results are important for labor market outcomes and suggest the need for further research on the unconscious role of beauty in shaping economic opportunities.

Suggested Citation

  • Lindsay, Kellie B. & Smith, Ben O. & White, Dustin R., 2024. "Beauty in the eyes of the beholder," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 1-10.
    • Handle: RePEc:eee:jeborg:v:217:y:2024:i:c:p:1-10
    DOI: 10.1016/j.jebo.2023.10.035
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268123003955
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jebo.2023.10.035?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tanya S. Rosenblat & Markus M. Mobius, 2004. "Getting Closer or Drifting Apart?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 971-1009.
    2. Armin Falk & James J. Heckman, 2009. "Lab Experiments are a Major Source of Knowledge in the Social Sciences," Working Papers 200935, Geary Institute, University College Dublin.
    3. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    4. Kevin Lang & Jee-Yeon K. Lehmann, 2012. "Racial Discrimination in the Labor Market: Theory and Empirics," Journal of Economic Literature, American Economic Association, vol. 50(4), pages 959-1006, December.
    5. 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.
    6. David Neumark & Wendy A. Stock, 1999. "Age Discrimination Laws and Labor Market Efficiency," Journal of Political Economy, University of Chicago Press, vol. 107(5), pages 1081-1110, October.
    7. Charness, Gary & Gneezy, Uri, 2008. "What's in a name? Anonymity and social distance in dictator and ultimatum games," Journal of Economic Behavior & Organization, Elsevier, vol. 68(1), pages 29-35, October.
    8. 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.
    9. Biddle, Jeff E & Hamermesh, Daniel S, 1998. "Beauty, Productivity, and Discrimination: Lawyers' Looks and Lucre," Journal of Labor Economics, University of Chicago Press, vol. 16(1), pages 172-201, January.
    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. Ahmed, Shaker & Ranta, Mikko & Vähämaa, Emilia & Vähämaa, Sami, 2023. "Facial attractiveness and CEO compensation: Evidence from the banking industry," Journal of Economics and Business, Elsevier, vol. 123(C).
    2. Deng, Weiguang & Li, Dayang & Zhou, Dong, 2019. "Beauty and Job Accessibility: New Evidence from a Field Experiment," GLO Discussion Paper Series 369, Global Labor Organization (GLO).
    3. David Neumark, 2018. "Experimental Research on Labor Market Discrimination," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 799-866, September.
    4. Eiji Yamamura & Ryohei Hayashi & Yoshiro Tsutsui & Fumio Ohtake, 2022. "Racers’ attractive looks, popularity, and performance: how do speedboat racers react to fans’ expectations?," The Japanese Economic Review, Springer, vol. 73(4), pages 597-623, October.
    5. Henk Erik Meier & Michael Mutz, 2020. "Does Attractiveness Lead to or Follow From Occupational Success? Findings From German Associational Football," SAGE Open, , vol. 10(1), pages 21582440209, January.
    6. Deryugina, Tatyana & Shurchkov, Olga, 2015. "Now you see it, now you don’t: The vanishing beauty premium," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 331-345.
    7. Green, Colin P. & Wilson, Luke B. & Zhang, Anwen, 2023. "Beauty, underage drinking, and adolescent risky behaviours," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 153-166.
    8. Seung Chan Ahn & Young Hoon Lee, 2014. "Beauty And Productivity: The Case Of The Ladies Professional Golf Association," Contemporary Economic Policy, Western Economic Association International, vol. 32(1), pages 155-168, January.
    9. Kanazawa, Satoshi & Hu, Shihao & Larere, Adrien, 2018. "Why do very unattractive workers earn so much?," Economics & Human Biology, Elsevier, vol. 29(C), pages 189-197.
    10. Markus Gehrsitz, 2014. "Looks and Labor: Do Attractive People Work More?," LABOUR, CEIS, vol. 28(3), pages 269-287, September.
    11. Tito Boeri & Jan van Ours, 2013. "The Economics of Imperfect Labor Markets: Second Edition," Economics Books, Princeton University Press, edition 1, number 10142.
    12. Kseniya Bortnikova, 2020. "Beauty and Productivity: A Meta-Analysis," Working Papers IES 2020/18, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2020.
    13. Eleonora Patacchini & Giuseppe Ragusa & Yves Zenou, 2015. "Unexplored dimensions of discrimination in Europe: homosexuality and physical appearance," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(4), pages 1045-1073, October.
    14. Gregor Schwerhoff & Ottmar Edenhofer & Marc Fleurbaey, 2020. "Taxation Of Economic Rents," Journal of Economic Surveys, Wiley Blackwell, vol. 34(2), pages 398-423, April.
    15. Ying Cao & Feng Guan & Zengquan Li & Yong George Yang, 2020. "Analysts’ Beauty and Performance," Management Science, INFORMS, vol. 66(9), pages 4315-4335, September.
    16. Dreber, Anna & Gerdes, Christer & Gränsmark, Patrik, 2013. "Beauty queens and battling knights: Risk taking and attractiveness in chess," Journal of Economic Behavior & Organization, Elsevier, vol. 90(C), pages 1-18.
    17. Babin, J. Jobu & Chauhan, Haritima S. & Kistler, Steven L., 2024. "When pretty hurts: Beauty premia and penalties in eSports," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 726-741.
    18. Dilmaghani, Maryam, 2020. "Beauty perks: Physical appearance, earnings, and fringe benefits," Economics & Human Biology, Elsevier, vol. 38(C).
    19. Jay L Zagorsky, 2016. "Are Blondes Really Dumb?," Economics Bulletin, AccessEcon, vol. 36(1), pages 401-410.
    20. Jobu Babin, J. & Hussey, Andrew & Nikolsko-Rzhevskyy, Alex & Taylor, David A., 2020. "Beauty Premiums Among Academics," Economics of Education Review, Elsevier, vol. 78(C).

    More about this item

    Keywords

    Experimental economic methods; Labor economics; Wage discrimination; Bias;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    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:eee:jeborg:v:217:y:2024:i:c:p:1-10. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jebo .

    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.