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

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  • 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
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    4. Nyhus, Ellen K. & Pons, Empar, 2005. "The effects of personality on earnings," Journal of Economic Psychology, Elsevier, vol. 26(3), pages 363-384, June.
    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. 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.
    7. 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.
    8. Bradley J. Ruffle & Ze'ev Shtudiner, 2015. "Are Good-Looking People More Employable?," Management Science, INFORMS, vol. 61(8), pages 1760-1776, August.
    9. 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.
    10. Drydakis, Nick, 2009. "Sexual orientation discrimination in the labour market," Labour Economics, Elsevier, vol. 16(4), pages 364-372, August.
    11. 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.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    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

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