Data Analytics for Business and Societal Challenges
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Paper Number
2452
Paper Type
short
Description
We study gendered language in resumes to understand the relationship between gender norm violation and hiring outcomes. Using a matched sample of 330k resumes, we train a BERT model to learn gendered information in resumes. We then predict the gender of each resume and calculate a gender-incongruence score -- a continuous measure of how much the self-presented gender characteristics in the resume deviate from the gender of the candidate. Using hiring data from IT firms, we test whether applicants whose resume gender characteristics deviate from their actual gender (i.e. male resumes with feminine characteristics, female resumes with masculine characteristics) are less likely to receive a callback. We find that women, but not men, whose resume characteristics deviate from the norms of their own gender are less likely to receive a callback. Our study offers the first field evidence on the relationship between gender norm violation in resumes and hiring outcomes.
Recommended Citation
Parasurama, Prasanna and Sedoc, João, "Gendered Language in Resumes -- An Empirical Analysis of Gender Norm Violation and Hiring Outcomes" (2021). ICIS 2021 Proceedings. 17.
https://aisel.aisnet.org/icis2021/data_analytics/data_analytics/17
Gendered Language in Resumes -- An Empirical Analysis of Gender Norm Violation and Hiring Outcomes
We study gendered language in resumes to understand the relationship between gender norm violation and hiring outcomes. Using a matched sample of 330k resumes, we train a BERT model to learn gendered information in resumes. We then predict the gender of each resume and calculate a gender-incongruence score -- a continuous measure of how much the self-presented gender characteristics in the resume deviate from the gender of the candidate. Using hiring data from IT firms, we test whether applicants whose resume gender characteristics deviate from their actual gender (i.e. male resumes with feminine characteristics, female resumes with masculine characteristics) are less likely to receive a callback. We find that women, but not men, whose resume characteristics deviate from the norms of their own gender are less likely to receive a callback. Our study offers the first field evidence on the relationship between gender norm violation in resumes and hiring outcomes.
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