Working Paper: NBER ID: w31346
Authors: Giulia Rossello; Robin Cowan; Jacques Mairesse
Abstract: We study whether student-advisor gender and race composition matters for publication productivity of Ph.D. students in South Africa. We consider all Ph.D. students in STEM graduating between 2000 and 2014, after the recent systematic introduction of doctoral programs in this country. We investigate the joint effects of gender and race for the whole sample and looking separately at the sub-samples of (1) white-white; (2) black-black; and (3) black-white student-advisor couples. We find significant productivity differences between male and female students. These disparities are more pronounced for female students working with male advisors when looking at the joint effects of gender and race for the white-white and black-black student-advisor pairs. We also explore whether publication productivity differences change significantly for students with a high, medium, or low “productivity-profile”. We find that female productivity gaps are U-shaped over the range of productivity. Female students working with male advisors have more persistent productivity gaps over the productivity distribution, while female students with a high (or low) “productivity-profile” studying with female advisors are as productive as male students with similar “productivity-profile” studying with male advisors.
Keywords: PhD; Publication Productivity; Gender; Race; Supervision; South Africa
JEL Codes: A14; I23; I24; J15; J16; O32
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| Female role models in academia (J16) | Mitigate early career publication differences (I24) |
| Advisor gender (G24) | PhD student publication productivity (Y40) |
| Advisor race (Y80) | PhD student publication productivity (Y40) |
| Gender of advisor (male) (J16) | Gender-based publishing productivity gap for female students (D29) |
| Same-gender advisor pairs (C92) | No significant productivity gap for female students (D29) |
| High/low productivity female students with male advisors (D29) | Similar productivity as male students (D29) |
| Advisor characteristics (M54) | Productivity gaps (O49) |