- are more ambiguous (as measured by disagreement amongst potential evaluators).

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- fall short of students' performance expectations, and/or

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This bias is most pronounced when evaluations:
- are provided in line with or below a "fair" assessment (that is, when students are graded fairly or harshly),

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Using an experiment conducted in large intro economics courses, we exploit the random assignment of evaluators with randomly assigned names to identify a systematic gender bias:

Students were more likely to contest grades when the randomly assigned evaluator name was female.
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🚨New Working Paper joint with @perisaygin.bsky.social, Thomas Knight, and Mark Rush: “Gender Biased Resistance to Harsh Feedback”

A summary thread…

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