| By: |
Stéphanie Combes (CREST; INSEE);
Pauline Givord (CREST; INSEE) |
| Abstract: |
This paper explores how the academic network extends and its consequences on
research outcomes. Using a large academic bibliographic database in research
in economics (RePEc), we model first the probability that two researchers
collaborate, and secondly the impact of network indicators on the citation
rate of research articles. Our results show the existence of a gender-based
bias in the researcher matching process. Researchers are more likely to
coauthor together when they are of the same gender, even when we control for
productivity and proximity in the academic network before they match, as well
as unobservable fixed effects of the pair of researcher. This effect is
observed mostly at the beginning of the career and fades with the seniority.
We also observe that network indicators have a positive impact on the citation
index of research articles, suggesting that these selective matching
mechanisms may have cumulative effects. |
| Keywords: |
network analysis, selective matching, gender gap, Probit regression with fixed effects, quantile regression |
| JEL: |
J24 O31 J45 |
| Date: |
2018–06–16 |
| URL: |
http://d.repec.org/n?u=RePEc:crs:wpaper:2018-07&r=sog |