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| Chitra Jogani and Gerardo Ruiz Sánchez |
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| ''An empirical analysis of sexual harassment case outcomes in academia'' |
| ( 2023, Vol. 43 No.4 ) |
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| This paper studies the severity of punishment of sexual harassment in academia using a dataset of public cases of academic sexual misconduct in the United States. Using both an ordered logit and a linear probability model, we study whether the severity of punishment is associated with factors such as the gender, academic field, and seniority of the accused faculty member, and whether the institution where the incident took place was a university or not. We also investigate if there was a relationship between the case outcomes and the start of the “Me Too” movement. We find that once a sexual harassment case is filed and investigated, accused senior faculty are 25 percentage points less likely to no longer work at the institution compared to accused non-senior faculty. Furthermore, accused faculty at universities are 12.1 percentage points less likely to no longer work at the institution compared to accused faculty in non-university institutions. We find that the severity of the case outcome is not associated with either the gender of the accused or the timing of the “Me Too” movement.
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| Keywords: sexual harassment, gender, academia, ordered logit. |
JEL: J1 - Demographic Economics: General
J7 - Labor Discrimination: General |
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| Manuscript Received : May 22 2023 | | Manuscript Accepted : Dec 30 2023 |
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