Last Place? The Intersection of Ethnicity, Gender, and Race in Biomedical Authorship
AbstractApplying big data methods to biomedical science articles, we show that women and underrepresented racial and ethnic groups are less likely to be last authors, an indicator of career independence. We leverage the massive size of our data to highlight the importance of intersectionality, the idea that ethnicity, gender, and race are not necessarily additive, but interact to determine experiences and outcomes. In particular, gender gaps are smaller among blacks and Hispanics than among non-Hispanic whites. Our analysis is timely given serious concerns with under-representation of women and minorities in biomedicine and other STEM fields.
CitationMarschke, Gerald, Allison Nunez, Bruce A. Weinberg, and Huifeng Yu. 2018. "Last Place? The Intersection of Ethnicity, Gender, and Race in Biomedical Authorship." AEA Papers and Proceedings, 108: 222-27. DOI: 10.1257/pandp.20181111
- I10 Health: General
- I23 Higher Education; Research Institutions
- J15 Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
- J16 Economics of Gender; Non-labor Discrimination