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Discrimination in the Formation of Academic Networks: A Field Experiment on #EconTwitter

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  • Nicolás Ajzenman
  • Bruno Ferman
  • Pedro C. Sant'Anna

Abstract

This paper documents discrimination in the formation of professional networks among academic economists. We created 80 bot accounts that claim to be PhD students differing in three characteristics: gender (male or female), race (Black or White), and university affiliation (top- or lower-ranked). The bots randomly followed 6,920 users in the #EconTwitter community. Follow-back rates were 12 percent higher for White students compared to Black students, 21 percent higher for students from top-ranked universities compared to those from lower-ranked institutions, and 25 percent higher for female compared to male students. Notably, the racial gap persists even among students from top-ranked institutions.

Suggested Citation

  • Nicolás Ajzenman & Bruno Ferman & Pedro C. Sant'Anna, 2025. "Discrimination in the Formation of Academic Networks: A Field Experiment on #EconTwitter," American Economic Review: Insights, American Economic Association, vol. 7(3), pages 357-375, September.
  • Handle: RePEc:aea:aerins:v:7:y:2025:i:3:p:357-75
    DOI: 10.1257/aeri.20240298
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    More about this item

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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