IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp9584.html
   My bibliography  Save this paper

Do They Find You on Facebook? Facebook Profile Picture and Hiring Chances

Author

Listed:
  • Baert, Stijn

    () (Ghent University)

Abstract

We investigate whether the publicly available information on Facebook about job applicants affects employers' hiring decisions. To this end, we conduct a field experiment in which fictitious job applications are sent to real job openings in Belgium. The only characteristic in which these candidates differ is the unique Facebook profile that can be found online with their name. Candidates with the most beneficial Facebook picture obtain approximately 39% more job interview invitations compared to candidates with the least beneficial picture. In addition, we find suggestive evidence for a higher effect of Facebook profile picture appearance on hiring chances when candidates are highly educated and when recruiters are female.

Suggested Citation

  • Baert, Stijn, 2015. "Do They Find You on Facebook? Facebook Profile Picture and Hiring Chances," IZA Discussion Papers 9584, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp9584
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp9584.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. S. Baert & L. Decuypere, 2014. "Better sexy than flexy? A lab experiment assessing the impact of perceived attractiveness and personality traits on hiring decisions," Applied Economics Letters, Taylor & Francis Journals, vol. 21(9), pages 597-601, June.
    2. Baert, Stijn & Norga, Jennifer & Thuy, Yannick & Van Hecke, Marieke, 2016. "Getting grey hairs in the labour market. An alternative experiment on age discrimination," Journal of Economic Psychology, Elsevier, vol. 57(C), pages 86-101.
    3. Stijn Baert & Bart Cockx & Niels Gheyle & Cora Vandamme, 2015. "Is There Less Discrimination in Occupations Where Recruitment Is Difficult?," ILR Review, Cornell University, ILR School, vol. 68(3), pages 467-500, May.
    4. Guido Heineck, 2011. "Does it Pay to Be Nice? Personality and Earnings in the United Kingdom," ILR Review, Cornell University, ILR School, vol. 64(5), pages 1020-1038, October.
    5. Carlsson, Magnus & Rooth, Dan-Olof, 2007. "Evidence of ethnic discrimination in the Swedish labor market using experimental data," Labour Economics, Elsevier, vol. 14(4), pages 716-729, August.
    6. Dan-Olof Rooth, 2009. "Obesity, Attractiveness, and Differential Treatment in Hiring: A Field Experiment," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    7. Nyhus, Ellen K. & Pons, Empar, 2005. "The effects of personality on earnings," Journal of Economic Psychology, Elsevier, vol. 26(3), pages 363-384, June.
    8. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    9. López Bóo, Florencia & Rossi, Martín A. & Urzúa, Sergio S., 2013. "The labor market return to an attractive face: Evidence from a field experiment," Economics Letters, Elsevier, vol. 118(1), pages 170-172.
    10. Drydakis, Nick, 2009. "Sexual orientation discrimination in the labour market," Labour Economics, Elsevier, vol. 16(4), pages 364-372, August.
    11. Bradley J. Ruffle & Ze'ev Shtudiner, 2015. "Are Good-Looking People More Employable?," Management Science, INFORMS, vol. 61(8), pages 1760-1776, August.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    personality; Internet; Facebook; screening; hiring; attractiveness;

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J79 - Labor and Demographic Economics - - Labor Discrimination - - - Other
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    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:iza:izadps:dp9584. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Holger Hinte). General contact details of provider: http://www.iza.org .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.