Innovative Ideas and Gender Inequality

• Departmental Seminar

Date and Location

Wednesday, May 11, 2022, 3:40 PM - 5:00 PM
Online Meeting, Zoom

Join Zoom Meeting
https://ucdavis.zoom.us/j/99311185739

Abstract

This paper analyzes the recognition of women's innovative ideas in comparison to men, using bibliometric data from economics research. Based on machine learning, I establish the similarities between papers and link them by identifying the paper citing, those cited by it, and those that should be cited. I uncover striking heterogeneity in terms of authorship. On average, papers omitted from references are 15% more likely to be female-authored than male-authored. Variations in gender perception based on given names reveal that articles written by women with female-sounding names are more likely to be omitted than articles by women with male-sounding names.