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Are men intimidated by highly educated women? Undercover on Tinder

Author

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  • Neyt, Brecht
  • Vandenbulcke, Sarah
  • Baert, Stijn

Abstract

In this study, we examine the impact of an individual's education level on her/his mating success on the mobile dating app Tinder. To do so, we conducted a field experiment on Tinder in which we collected data on 3,600 profile evaluations. In line with previous research on mating preferences from multiple fields, our results indicate a heterogeneous effect of education level by gender: while women strongly prefer a highly educated potential partner, this hypothesis is rejected for men. In contrast with recent influential studies from the field of economics, we do not find any evidence that men would have an aversion to a highly educated potential partner. Additionally, in contrast with most previous research – again from multiple fields – we do not find any evidence for preferences for educational assortative mating, i.e. preferring a partner with a similar education level.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:ecoedu:v:73:y:2019:i:c:s0272775719301104
    DOI: 10.1016/j.econedurev.2019.101914
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    References listed on IDEAS

    as
    1. Stephen Machin & Olivier Marie & Sunčica Vujić, 2011. "The Crime Reducing Effect of Education," Economic Journal, Royal Economic Society, vol. 121(552), pages 463-484, May.
    2. Leigh, Andrew & Ryan, Chris, 2008. "Estimating returns to education using different natural experiment techniques," Economics of Education Review, Elsevier, vol. 27(2), pages 149-160, April.
    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. George Psacharopoulos & Harry Anthony Patrinos, 2004. "Returns to investment in education: a further update," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 111-134.
    5. 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.
    6. Card, David & Krueger, Alan B, 1992. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 1-40, February.
    7. 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.
    8. Jisoo Hwang, 2016. "Housewife, “gold miss,” and equal: the evolution of educated women’s role in Asia and the U.S," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(2), pages 529-570, April.
    9. 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.
    10. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    11. Nicole M Fortin, 2005. "Gender Role Attitudes and the Labour-market Outcomes of Women across OECD Countries," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 21(3), pages 416-438, Autumn.
    12. Claudia Olivetti & Eleonora Patacchini & Yves Zenou, 2020. "Mothers, Peers, and Gender-Role Identity," Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 266-301.
    13. Jeremy Greenwood & Nezih Guner & Georgi Kocharkov & Cezar Santos, 2014. "Marry Your Like: Assortative Mating and Income Inequality," American Economic Review, American Economic Association, vol. 104(5), pages 348-353, May.
    14. 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.
    15. Michèle Belot & Marco Francesconi, 2013. "Dating Preferences and Meeting Opportunities in Mate Choice Decisions," Journal of Human Resources, University of Wisconsin Press, vol. 48(2), pages 474-508.
    16. David Ong, 2016. "Education and income attraction: an online dating field experiment," Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1816-1830, April.
    17. 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.
    18. Groot, Wim & Maassen van den Brink, Henriette, 2007. "The health effects of education," Economics of Education Review, Elsevier, vol. 26(2), pages 186-200, April.
    19. Günter Hitsch & Ali Hortaçsu & Dan Ariely, 2010. "What makes you click?—Mate preferences in online dating," Quantitative Marketing and Economics (QME), Springer, vol. 8(4), pages 393-427, December.
    20. Raquel Fernández & Alessandra Fogli & Claudia Olivetti, 2004. "Mothers and Sons: Preference Formation and Female Labor Force Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(4), pages 1249-1299.
    21. Pencavel, John, 1998. "Assortative Mating by Schooling and the Work Behavior of Wives and Husbands," American Economic Review, American Economic Association, vol. 88(2), pages 326-329, May.
    22. Wan-chi Chen, 2012. "How Education Enhances Happiness: Comparison of Mediating Factors in Four East Asian Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 106(1), pages 117-131, March.
    23. Kory Kroft & Fabian Lange & Matthew J. Notowidigdo, 2013. "Duration Dependence and Labor Market Conditions: Evidence from a Field Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 1123-1167.
    24. 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.
    25. Silles, Mary A., 2009. "The causal effect of education on health: Evidence from the United Kingdom," Economics of Education Review, Elsevier, vol. 28(1), pages 122-128, February.
    26. Gunter J. Hitsch & Ali Hortaçsu & Dan Ariely, 2010. "Matching and Sorting in Online Dating," American Economic Review, American Economic Association, vol. 100(1), pages 130-163, March.
    27. Buonanno, Paolo & Leonida, Leone, 2009. "Non-market effects of education on crime: Evidence from Italian regions," Economics of Education Review, Elsevier, vol. 28(1), pages 11-17, February.
    28. W. Groot & H. M. van den Brink, 2010. "The effects of education on crime," Applied Economics, Taylor & Francis Journals, vol. 42(3), pages 279-289.
    29. Juncal Cuñado & Fernando Gracia, 2012. "Does Education Affect Happiness? Evidence for Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 108(1), pages 185-196, August.
    30. Ong, David & Wang, Jue, 2015. "Income attraction: An online dating field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 13-22.
    31. Robert Jensen, 2010. "The (Perceived) Returns to Education and the Demand for Schooling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 515-548.
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    Cited by:

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    2. Brecht Neyt & Stijn Baert & Jana Vynckier, 2022. "Job Prestige and Mobile Dating Success: A Field Experiment," De Economist, Springer, vol. 170(4), pages 435-458, November.
    3. Juan Ramón Barrada & Ángel Castro, 2020. "Tinder Users: Sociodemographic, Psychological, and Psychosexual Characteristics," IJERPH, MDPI, vol. 17(21), pages 1-17, October.
    4. Van Borm, Hannah & Burn, Ian & Baert, Stijn, 2021. "What Does a Job Candidate's Age Signal to Employers?," Labour Economics, Elsevier, vol. 71(C).
    5. 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.
    6. Ángel Castro & Juan Ramón Barrada, 2020. "Dating Apps and Their Sociodemographic and Psychosocial Correlates: A Systematic Review," IJERPH, MDPI, vol. 17(18), pages 1-25, September.
    7. You, Jing & Yi, Xuejie & Chen, Meng, 2021. "Love, life, and “leftover ladies” in urban China: Staying modernly single in patriarchal traditions," China Economic Review, Elsevier, vol. 68(C).

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    More about this item

    Keywords

    Returns to education; Mating success; Assortative mating; Dating apps; Tinder;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure

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