Social networks and research output
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Type
Article
Change log
Authors
Ductor, Lorenzo
Fafchamps, Marcel
Goyal, Sanjeev https://orcid.org/0000-0002-9827-5998
van, der Leij Marco J
Abstract
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.
Description
Keywords
3801 Applied Economics, 3802 Econometrics, 35 Commerce, Management, Tourism and Services, 38 Economics, 3502 Banking, Finance and Investment
Journal Title
The Review of Economics and Statistics
Conference Name
Journal ISSN
0034-6535
1530-9142
1530-9142
Volume Title
96
Publisher
MIT Press