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Does Information Affect Homophily?

Author

Listed:
  • Gallen, Yana
  • Wasserman, Melanie

Abstract

It is common for mentorship programs to use race, gender, and nationality to match mentors and mentees. Despite the popularity of these programs, there is little evidence on whether mentees value mentors with shared traits. Using novel administrative data from an online college mentoring platform connecting students and alumni, we document that female students indeed disproportionately reach out to female mentors. We investigate whether female students make costly trade-offs in order to access a female mentor. By eliciting students’ preferences over mentor attributes, we find that female students are willing to trade off occupational match in order to access a female mentor. This willingness to pay for female mentors declines to zero when information on mentor quality is provided. The evidence suggests that female students use mentor gender to alleviate information problems, but do not derive direct utility from it. We discuss the implications of these results for the design of initiatives that match on shared traits.

Suggested Citation

  • Gallen, Yana & Wasserman, Melanie, 2022. "Does Information Affect Homophily?," CEPR Discussion Papers 17375, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:17375
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    Cited by:

    1. is not listed on IDEAS
    2. Antonio Cabrales & Lorenzo Ductor & Ericka Rascon-Ramirez & Ismael Rodriguez-Lara, 2025. "Gender Stereotypes and Homophily in Team Formation," Working Papers DTE 648, CIDE, División de Economía.
    3. Ting Zhang, 2024. "Commentary on “Frontiers: Breaking the Glass Ceiling: Empowering Female Entrepreneurs Through Female Mentors”," Marketing Science, INFORMS, vol. 43(4), pages 918-920, July.
    4. Goulas, Sofoklis & Megalokonomou, Rigissa & Zhang, Yi, 2025. "Female neighbors and careers in science," Research Policy, Elsevier, vol. 54(7).
    5. Liwen Chen & Bobby W. Chung & Guanghua Wang, 2023. "Stay-at-Home Peer Mothers and Gender Norms: Short-run Effects on Educational Outcomes," Working Papers 2023-03, University of South Florida, Department of Economics.
    6. Yang, Xiaoliang & Zhou, Peng, 2025. "Unveiling citation bias in economics: Taste-based discrimination against Chinese-authored papers," Labour Economics, Elsevier, vol. 94(C).
    7. A. Arda Gitmez & Rom'an Andr'es Z'arate, 2022. "Proximity, Similarity, and Friendship Formation: Theory and Evidence," Papers 2210.06611, arXiv.org.
    8. Elena Chechik, 2024. "Gender disparities in research fields in Russia: dissertation authors and their mentors," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3341-3358, June.

    More about this item

    Keywords

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    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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