Gender Differences in Reference Letters: Evidence from the Economics Job Market
成果类型:
Article
署名作者:
Eberhardt, Markus; Facchini, Giovanni; Rueda, Valeria
署名单位:
University of Nottingham; Centre for Economic Policy Research - UK; IZA Institute Labor Economics; University of Nottingham
刊物名称:
ECONOMIC JOURNAL
ISSN/ISSBN:
0013-0133
DOI:
10.1093/ej/uead045
发表日期:
2023
页码:
2676-2708
关键词:
student-evaluations
recommendation
women
RECOGNITION
female
biases
摘要:
Academia, and economics in particular, faces increased scrutiny because of gender imbalance. This paper studies the job market for entry-level faculty positions. We employ machine learning methods to analyse gendered patterns in the text of 12,000 reference letters written in support of over 3,700 candidates. Using both supervised and unsupervised techniques, we document widespread differences in the attributes emphasised. Women are systematically more likely to be described using 'grindstone' terms and at times less likely to be praised for their ability. Using information on initial placement, we highlight the implications of these gendered descriptors for the quality of academic placement.
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