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Faculty of Economics

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Ductor, L., Fafchamps, M., Goyal, S. Van Der Leij, M.

Social networks and research output

Review of Economics and Statistics

Vol. 96(5) pp. 936-948 (2014)

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 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.

Keywords: Social networks, Researchers

JEL Codes: A14, D83, D85, Z13

Author links: Sanjeev Goyal  

Publisher's Link: http://www.mitpressjournals.org/doi/abs/10.1162/REST_a_00430#.U4bsF0pcIRk



Papers and Publications



Recent Publications


Carvalho, V. M. and Grassi, B. Large Firm Dynamics and the Business Cycle American Economic Review [2019]

Galeotti, A., Golub, B. and Goyal, S. Targeting Interventions in Networks Econometrica, forthcoming [2020]

Erdil, A. and Kumano, T. Efficiency and stability under substitutable priorities with ties Journal of Economic Theory [2019]

Todd, P. E. and Zhang, W. A Dynamic Model of Personality, Schooling, and Occupational Choice Quantitative Economics [2020]