IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp11933.html
   My bibliography  Save this paper

Education Level and Mating Success: Undercover on Tinder

Author

Listed:
  • Neyt, Brecht

    (Ghent University)

  • Vandenbulcke, Sarah

    (Ghent University)

  • Baert, Stijn

    (Ghent University)

Abstract

In this study, we examine the impact of an individual’s education level on her/his mating success by means of a field experiment on the mobile dating app Tinder, using a sample of 3,600 profile evaluations. In line with previous studies from the field of evolutionary psychology, our results indicate a heterogeneous effect of education level by gender: while females strongly prefer a highly educated potential partner, we cannot accept this hypothesis for males. Additionally, in contrast with previous literature on partner choice in an offline context and on classic online dating websites, we do not find any evidence for educational assortative mating, i.e. preferring a partner with a similar education level, on mobile dating apps such as Tinder. We argue that this is due to our research design, which allows us to examine actual (instead of stated) mate preferences in a dating market without search frictions and social frictions.

Suggested Citation

  • Neyt, Brecht & Vandenbulcke, Sarah & Baert, Stijn, 2018. "Education Level and Mating Success: Undercover on Tinder," IZA Discussion Papers 11933, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp11933
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp11933.pdf
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Lasse Eika & Magne Mogstad & Basit Zafar, 2019. "Educational Assortative Mating and Household Income Inequality," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 2795-2835.
    7. David M. Cutler & Adriana Lleras-Muney, 2006. "Education and Health: Evaluating Theories and Evidence," NBER Working Papers 12352, National Bureau of Economic Research, Inc.
    8. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    9. 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.
    10. Josue Ortega & Philipp Hergovich, 2017. "The Strength of Absent Ties: Social Integration via Online Dating," Papers 1709.10478, arXiv.org, revised Sep 2018.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Philip Oreopoulos & Kjell G. Salvanes, 2009. "How large are returns to schooling? Hint: Money isn't everything," NBER Working Papers 15339, National Bureau of Economic Research, Inc.
    18. 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.
    19. 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.
    20. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Valfort, Marie-Anne, 2020. "Anti-Muslim discrimination in France: Evidence from a field experiment," World Development, Elsevier, vol. 135(C).
    3. Stijn Baert & Sunčica Vujić, 2018. "Does it pay to care? Volunteering and employment opportunities," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(3), pages 819-836, July.
    4. Marianne Bertrand & Esther Duflo, 2016. "Field Experiments on Discrimination," NBER Working Papers 22014, National Bureau of Economic Research, Inc.
    5. 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.
    6. Baert, By Stijn & Neyt, Brecht & Siedler, Thomas & Tobback, Ilse & Verhaest, Dieter, 2021. "Student internships and employment opportunities after graduation: A field experiment," Economics of Education Review, Elsevier, vol. 83(C).
    7. Gaddis, S. Michael, 2018. "An Introduction to Audit Studies in the Social Sciences," SocArXiv e5hfc, Center for Open Science.
    8. Baert, Stijn, 2017. "Hiring Discrimination: An Overview of (Almost) All Correspondence Experiments Since 2005," GLO Discussion Paper Series 61, Global Labor Organization (GLO).
    9. Baert, Stijn, 2015. "Field experimental evidence on gender discrimination in hiring: Biased as Heckman and Siegelman predicted?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-11.
    10. Verhaest, Dieter & Bogaert, Elene & Dereymaeker, Jeroen & Mestdagh, Laura & Baert, Stijn, 2016. "Crowding Out in the Labour Market: Do Employers Lend a Hand?," IZA Discussion Papers 9654, Institute of Labor Economics (IZA).
    11. Marianne Bertrand & Esther Duflo, 2016. "Field Experiments on Discrimination," NBER Working Papers 22014, National Bureau of Economic Research, Inc.
    12. Baert, Stijn & De Visschere, Sarah & Schoors, Koen & Vandenberghe, Désirée & Omey, Eddy, 2016. "First depressed, then discriminated against?," Social Science & Medicine, Elsevier, vol. 170(C), pages 247-254.
    13. Keisuke Kawata & Mizuki Komura, 2023. "Only-child matching penalty in the marriage market," Discussion Paper Series 254, School of Economics, Kwansei Gakuin University.
    14. Nunley, John M. & Pugh, Adam & Romero, Nicholas & Seals, R. Alan, 2016. "College major, internship experience, and employment opportunities: Estimates from a résumé audit," Labour Economics, Elsevier, vol. 38(C), pages 37-46.
    15. van Ours, Jan C. & Williams, Jenny & Ward, Shannon, 2015. "Bad Behavior: Delinquency, Arrest and Early School Leaving," CEPR Discussion Papers 10755, C.E.P.R. Discussion Papers.
    16. Margaret Maurer-Fazio & Sili Wang, 2018. "Does marital status affect how firms interpret job applicants’ un/employment histories?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 39(4), pages 567-580, July.
    17. Brutti, Zelda & Montolio, Daniel, 2021. "Preventing criminal minds: Early education access and adult offending behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 97-126.
    18. Cahuc, Pierre & Carcillo, Stéphane & Minea, Andreea & Valfort, Marie-Anne, 2019. "When Correspondence Studies Fail to Detect Hiring Discrimination," IZA Discussion Papers 12653, Institute of Labor Economics (IZA).
    19. Stijn Baert & Dieter Verhaest, 2019. "Unemployment or Overeducation: Which is a Worse Signal to Employers?," De Economist, Springer, vol. 167(1), pages 1-21, March.
    20. David Neumark, 2018. "Experimental Research on Labor Market Discrimination," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 799-866, September.

    More about this item

    Keywords

    assortative mating; mating success; returns to education; 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

    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:dp11933. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.