Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Apr;40(2):397-436.
doi: 10.1086/714921. Epub 2022 Feb 11.

Nevertheless She Persisted? Gender Peer Effects in Doctoral STEM Programs

Affiliations

Nevertheless She Persisted? Gender Peer Effects in Doctoral STEM Programs

Valerie K Bostwick et al. J Labor Econ. 2022 Apr.

Abstract

We study the effects of peer gender composition in STEM doctoral programs on persistence and degree completion. Leveraging unique new data and quasi-random variation in gender composition across cohorts within programs, we show that women entering cohorts with no female peers are 11.7pp less likely to graduate within 6 years than their male counterparts. A 1 sd increase in the percentage of female students differentially increases women's probability of on-time graduation by 4.4pp. These gender peer effects function primarily through changes in the probability of dropping out in the first year of a Ph.D. program.

PubMed Disclaimer

Figures

Figure 1:
Figure 1:. Trends in Cohort Gender Composition By Field
Each panel represents a STEM field and each line within a panel represents a unique doctoral program in the main estimation sample. The x-axis measures incoming cohorts over time and the y-axis measures the share of each incoming cohort that is female.
Figure 2:
Figure 2:. Correlation Between Cohort Gender Composition and Covariates (Demeaned)
In each panel above, a point represents a cohort within a program. The x-axis measures the percent of each cohort that is female minus the average percent female in the program over all years of the data. The y-axis in each panel represent a different covariate, also demeaned at the program level. Proceeding clockwise from the top-left, these variables are: cohort size, age, an indicator for white race, and an indicator for foreign-born. Each panel includes the estimated slope coefficient and corresponding p-value from a simple linear regression of the demeaned y-variable on the demeaned cohort gender composition.
Figure 3:
Figure 3:. Dropout and Graduation Rates by Year of Enrollment
The x-axis measures the program-year. The y-axis indicates the fraction of students in the main estimation sample belonging to each category (dropped out, graduated, or still enrolled) measured at the end of each program-year.
Figure 4:
Figure 4:. Distribution of First Term Grades by Gender
The left panel shows the first term GPA distributions for all students in cohorts where the fraction female is below the average for that program (“highly-male” cohorts). The right panel includes all students in cohorts where the gender composition is above the average for that program (“highly-female” cohorts).

References

    1. Abedi Jamal, and Benkin Ellen. 1987. “The Effects of Students’ Academic, Financial, and Demographic Variables on Time to the Doctorate.” Research in Higher Education 27 (1): 3–14. http://www.jstor.org/stable/40195800.
    1. Anelli Massimo, and Peri Giovanni. 2016. “The Effects of High School Peers’ Gender on College Major, College Performance and Income.”
    1. Astorne-Figari Carmen, and Speer Jamin D. 2017. “Are Changes of Major Major Changes? The Roles of Grades, Gender, and Preferences in College Major Switching.” http://www.sole-jole.org/17322.pdf.
    1. Bayer Amanda, and Rouse Cecilia Elena. 2016. “Diversity in the Economics Profession: A New Attack on an Old Problem.” Journal of Economic Perspectives 30, no. 4 (November): 221–242. issn: 0895-3309. doi: 10.1257/jep.30.4.221. http://pubs.aeaweb.org/doi/10.1257/jep.30.4.221. - DOI
    1. Bell-Ellison Bethany A., and Dedrick Robert F.. 2008. “What do Doctoral Students Value in their Ideal Mentor?” Research in Higher Education 49, no. 6 (September): 555–567. issn: 0361-0365. doi: 10.1007/s11162-008-9085-8. http://link.springer.com/10.1007/s11162-008-9085-8. - DOI

LinkOut - more resources