IDEAS home Printed from https://ideas.repec.org/a/bla/labour/v34y2020i2p191-214.html
   My bibliography  Save this article

Tattoos, Lifestyle, and the Labor Market

Author

Listed:
  • Rik Dillingh
  • Peter Kooreman
  • Jan Potters

Abstract

In this study, we look at the factors determining the decision to get a tattoo and relate this to several outcome measures, such as income, employment status, and health. The analyses are based on unique panel data of a representative sample of Dutch individuals. The tattooed population differs significantly from the non‐tattooed population on a wide range of characteristics. We use fixed effects and instrumental variable analysis to explore the effects of tattoos. Our analyses suggest less favorable outcomes for people with (very visible) tattoos, though especially in the case of the labor market, the relationships are relatively weak.

Suggested Citation

  • Rik Dillingh & Peter Kooreman & Jan Potters, 2020. "Tattoos, Lifestyle, and the Labor Market," LABOUR, CEIS, vol. 34(2), pages 191-214, June.
    • Handle: RePEc:bla:labour:v:34:y:2020:i:2:p:191-214
    DOI: 10.1111/labr.12167
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/labr.12167
    Download Restriction: no
    File URL: https://libkey.io/10.1111/labr.12167?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Ruffle, Bradley J. & Wilson, Anne E., 2019. "Tat will tell: Tattoos and time preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 566-585.
    3. Fryer Roland & Jackson Matthew O., 2008. "A Categorical Model of Cognition and Biased Decision Making," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-44, February.
    4. Jennifer L. Doleac & Luke C.D. Stein, 2013. "The Visible Hand: Race and Online Market Outcomes," Economic Journal, Royal Economic Society, vol. 123(11), pages 469-492, November.
    5. Mocan, H Naci & Tekin, Erdal, 2006. "Guns and Juvenile Crime," Journal of Law and Economics, University of Chicago Press, vol. 49(2), pages 507-531, October.
    6. George A. Akerlof & Rachel E. Kranton, 2000. "Economics and Identity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 715-753.
    7. Harper, Barry, 2000. "Beauty, Stature and the Labour Market: A British Cohort Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 62(0), pages 771-800, Special I.
    8. repec:wly:soecon:v:82:4:y:2016:p:1212-1246 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Rebecca Owens & Steven J. Filoromo & Lauren A. Landgraf & Christopher D. Lynn & Michael R. A. Smetana, 2023. "Deviance as an historical artefact: a scoping review of psychological studies of body modification," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    2. Daviti Jibuti, 2018. "Discrimination against Workers with Visible Tattoos: Experimental Evidence from Germany," CERGE-EI Working Papers wp628, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    3. Ruffle, Bradley J. & Wilson, Anne E., 2019. "Tat will tell: Tattoos and time preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 566-585.

    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. Dillingh, Rik, 2016. "Empirical essays on behavioral economics and lifecycle decisions," Other publications TiSEM 0e2143e3-bd86-4302-90eb-e, Tilburg University, School of Economics and Management.
    2. Daviti Jibuti, 2018. "Discrimination against Workers with Visible Tattoos: Experimental Evidence from Germany," CERGE-EI Working Papers wp628, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    3. Naci Mocan & Erdal Tekin, 2010. "Ugly Criminals," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 15-30, February.
    4. Morten Størling Hedegaard & Jean-Robert Tyran, 2018. "The Price of Prejudice," American Economic Journal: Applied Economics, American Economic Association, vol. 10(1), pages 40-63, January.
    5. 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.
    6. Amy King & Andrew Leigh, 2009. "Beautiful Politicians," Kyklos, Wiley Blackwell, vol. 62(4), pages 579-593, November.
    7. 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).
    8. Eva Sierminska & Karan Singhal, 2023. "Does it pay to be beautiful?," IZA World of Labor, Institute of Labor Economics (IZA), pages 161-161, March.
    9. Maarten Vendrik & Christiane Schwieren, 2010. "Identification, screening and stereotyping in labour market discrimination," Journal of Economics, Springer, vol. 99(2), pages 141-171, March.
    10. 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.
    11. Fahr, René, 2006. "The Wage Effects of Social Norms: Evidence of Deviations from Peers’ Body-Mass in Europe," IZA Discussion Papers 2323, Institute of Labor Economics (IZA).
    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. Johan Almenberg & Anna Dreber, 2009. "Lady and the Trump: Status and Wealth in the Marriage Market," Kyklos, Wiley Blackwell, vol. 62(2), pages 161-181, April.
    14. 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.
    15. 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.
    16. Ruffle, Bradley J. & Wilson, Anne E., 2019. "Tat will tell: Tattoos and time preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 566-585.
    17. Amany Gouda-Vossos & Barnaby J Dixson & Robert C Brooks, 2016. "Sexual Conflict and Gender Gap Effects: Associations between Social Context and Sex on Rated Attractiveness and Economic Status," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-14, January.
    18. Luo, Mi & Zhang, Chuanchuan, 2011. "Non-linear relationship between body mass index and labor market outcomes: new evidence from China," MPRA Paper 38936, University Library of Munich, Germany, revised Feb 2012.
    19. Hübler, Olaf, 2006. "The Nonlinear Link between Height and Wages: An Empirical Investigation," IZA Discussion Papers 2394, Institute of Labor Economics (IZA).
    20. Geijtenbeek, Lydia & Plug, Erik, 2018. "Is there a penalty for registered women? Is there a premium for registered men? Evidence from a sample of transsexual workers," European Economic Review, Elsevier, vol. 109(C), pages 334-347.

    More about this item

    JEL classification:

    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General

    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:bla:labour:v:34:y:2020:i:2:p:191-214. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/csrotit.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.