We connect gender disparities in research output and collaboration patterns in economics. We first document large gender gaps in research output. These gaps persist across fifty years despite a significant increase in the fraction of women in economics during that time. We further show that output differences are closely related to differences in the coauthorship networks of men and women: women have fewer collaborators, collaborate more often with the same coauthors, and a higher fraction of their coauthors collaborate with each other. Taking into account coauthorship networks reduces the gender output gap by 18%.

We study how knowledge about the social network of an individual researcher, as embodied in his coauthor relations, helps us in developing a more accurate prediction of his or her future productivity. We find that incorporating information about coauthor networks leads to a modest improvement in the accuracy of forecasts on individual output, over and above what we can predict based on the knowledge of past individual output. Second, we find that the informativeness of networks dissipates over the lifetime of a researcher's career. This suggests that the signaling content of the network is quantitatively more important than the flow of ideas.