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Job Prestige and Mobile Dating Success: A Field Experiment

Author

Listed:
  • Neyt, Brecht

    (Ghent University)

  • Baert, Stijn

    (Ghent University)

  • Vynckier, Jana

    (Ghent University)

Abstract

Research exploiting data on classic (offline) couple formation has confirmed predictions from evolutionary psychology in a sense that males attach more value to attractiveness and women attach more value to earnings potential. We examine whether these human partner preferences survive in a context of fewer search and social frictions. We do this by means of a field experiment on the mobile dating app Tinder, which takes a central place in contemporary couple formation. Thirty-two fictitious Tinder profiles that randomly differ in job status and job prestige are evaluated by 4,800 other, real users. We find that both males and females do not use job status or job prestige as a determinant of whom to show initial interest in on Tinder. However, we do see evidence that, after this initial phase, males less frequently begin a conversation with females when those females are unemployed but also then do not care about the particular job prestige of employed females.

Suggested Citation

  • Neyt, Brecht & Baert, Stijn & Vynckier, Jana, 2019. "Job Prestige and Mobile Dating Success: A Field Experiment," IZA Discussion Papers 12746, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp12746
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    References listed on IDEAS

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    1. Stefan Eriksson & Dan-Olof Rooth, 2014. "Do Employers Use Unemployment as a Sorting Criterion When Hiring? Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 104(3), pages 1014-1039, March.
    2. Marianne Bertrand & Emir Kamenica & Jessica Pan, 2015. "Gender Identity and Relative Income within Households," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(2), pages 571-614.
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    5. Leonardo Bursztyn & Thomas Fujiwara & Amanda Pallais, 2017. "'Acting Wife': Marriage Market Incentives and Labor Market Investments," American Economic Review, American Economic Association, vol. 107(11), pages 3288-3319, November.
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    7. David Neumark, 2018. "Experimental Research on Labor Market Discrimination," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 799-866, September.
    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. Raymond Fisman & Sheena S. Iyengar & Emir Kamenica & Itamar Simonson, 2006. "Gender Differences in Mate Selection: Evidence From a Speed Dating Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 673-697.
    10. Abramova, Olga & Baumann, Annika & Krasnova, Hanna & Buxmann, Peter, 2016. "Gender Differences in Online Dating: What Do We Know So Far? A Systematic Literature Review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77661, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    11. William Greene, 2002. "The Behavior of the Fixed Effects Estimator in Nonlinear Models," Working Papers 02-05, New York University, Leonard N. Stern School of Business, Department of Economics.
    12. Neyt, Brecht & Vandenbulcke, Sarah & Baert, Stijn, 2019. "Are men intimidated by highly educated women? Undercover on Tinder," Economics of Education Review, Elsevier, vol. 73(C).
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    Cited by:

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    2. Beloborodova, Anna, 2023. "Love or politics? Political views regarding the war in Ukraine in an online dating experiment," MPRA Paper 118862, University Library of Munich, Germany.

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    More about this item

    Keywords

    online dating; job prestige; partner preferences; dating apps; Tinder;
    All these keywords.

    JEL classification:

    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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