IDEAS home Printed from https://ideas.repec.org/p/ucd/wpaper/200802.html
   My bibliography  Save this paper

Beauty and intelligence may or may not- be related

Author

Listed:
  • Kevin Denny

    (School of Economics & Geary Institute, University College Dublin)

Abstract

In a recent paper, Kanazawa and Kovar (2004) assert that given certain empirical regularities about assortative mating and the heritability of intelligence and beauty, that it logically follows that more intelligent people are more beautiful. It is argued here that this “theorem” is false and that the evidence does not support it.

Suggested Citation

  • Kevin Denny, 2008. "Beauty and intelligence may or may not- be related," Working Papers 200802, Geary Institute, University College Dublin.
  • Handle: RePEc:ucd:wpaper:200802
    as

    Download full text from publisher

    File URL: http://www.ucd.ie/geary/static/publications/workingpapers/gearywp200802.pdf
    File Function: First version, 2008
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Markus M. Mobius & Tanya S. Rosenblat, 2006. "Why Beauty Matters," American Economic Review, American Economic Association, vol. 96(1), pages 222-235, March.
    2. repec:bla:obuest:v:62:y:2000:i:0:p:771-800 is not listed on IDEAS
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Looks & earnings
      by chris dillow in Stumbling and Mumbling on 2011-05-16 20:23:21

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lee, Anthony J. & Hibbs, Courtney & Wright, Margaret J. & Martin, Nicholas G. & Keller, Matthew C. & Zietsch, Brendan P., 2017. "Assessing the accuracy of perceptions of intelligence based on heritable facial features," Intelligence, Elsevier, vol. 64(C), pages 1-8.

    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. 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).
    2. von Hinke Kessler Scholder S, 2009. "Genetic Markers as Instrumental Variables: An Application to Child Fat Mass and Academic Achievement," Health, Econometrics and Data Group (HEDG) Working Papers 09/25, HEDG, c/o Department of Economics, University of York.
    3. Li, Xilin & Hsee, Christopher K., 2021. "Free-riding and cost-bearing in discrimination," Organizational Behavior and Human Decision Processes, Elsevier, vol. 163(C), pages 80-90.
    4. Parrett, Matt, 2015. "Beauty and the feast: Examining the effect of beauty on earnings using restaurant tipping data," Journal of Economic Psychology, Elsevier, vol. 49(C), pages 34-46.
    5. Niclas Berggren & Henrik Jordahl & Panu Poutvaara, 2010. "The Right Look: Conservative Politicians Look Better and their Voters Reward it," CESifo Working Paper Series 3310, CESifo.
    6. Amy King & Andrew Leigh, 2009. "Beautiful Politicians," Kyklos, Wiley Blackwell, vol. 62(4), pages 579-593, November.
    7. Daniel Hamermesh, 2012. "Tall or taller, pretty or prettier: is discrimination absolute or relative?," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-17, December.
    8. Dechter, Evgenia Kogan, 2015. "Physical appearance and earnings, hair color matters," Labour Economics, Elsevier, vol. 32(C), pages 15-26.
    9. Suyong Song & Stephen S. Baek, 2019. "Shape Matters: Evidence from Machine Learning on Body Shape-Income Relationship," Papers 1906.06747, arXiv.org.
    10. 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.
    11. Rees, Daniel I. & Sabia, Joseph J. & Argys, Laura M., 2009. "A head above the rest: Height and adolescent psychological well-being," Economics & Human Biology, Elsevier, vol. 7(2), pages 217-228, July.
    12. Elif S. Filiz, 2022. "Does it Payoff to be Blond in a Non-Blond Neighborhood? Eye Color, Hair Color, Ethnic Composition and Starting Wages," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(1), pages 122-146, January.
    13. Gregor Schwerhoff & Ottmar Edenhofer & Marc Fleurbaey, 2020. "Taxation Of Economic Rents," Journal of Economic Surveys, Wiley Blackwell, vol. 34(2), pages 398-423, April.
    14. Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.
    15. Abigail Weitzman & Dalton Conley, 2014. "From Assortative to Ashortative Coupling: Men's Height, Height Heterogamy, and Relationship Dynamics in the United States," NBER Working Papers 20402, National Bureau of Economic Research, Inc.
    16. Helmut Dietl & Anil Özdemir & Andrew Rendall, 2018. "The Role of Physical Attractiveness in Tennis TV-Viewership," Working Papers 376, University of Zurich, Department of Business Administration (IBW).
    17. Weilong Bi & Ho Fai Chan & Benno Torgler, 2020. "“Beauty” premium for social scientists but “unattractiveness” premium for natural scientists in the public speaking market," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
    18. 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.
    19. Canace, Thomas G. & Cianci, Anna M. & (Kelvin) Liu, Xiaotao & Tsakumis, George T., 2020. "Paid for looks when others are looking: CEO facial traits, compensation, and corporate visibility," Journal of Business Research, Elsevier, vol. 115(C), pages 85-100.
    20. Arndt R. Reichert, 2015. "Obesity, Weight Loss, and Employment Prospects: Evidence from a Randomized Trial," Journal of Human Resources, University of Wisconsin Press, vol. 50(3), pages 759-810.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ucd:wpaper:200802. 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: Geary Tech (email available below). General contact details of provider: https://edirc.repec.org/data/geucdie.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.