Collaboration in Bipartite Networks, with an Application to Coauthorship Networks

Michael Konig, Xiaodong Liu, Chih-Sheng Hsieh, C. Zimmermann

Research output: Working paperProfessional

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Abstract

This paper studies the impact of collaboration on research output. First, we build a micro-founded model for scientific knowledge production, where collaboration between researchers is represented by a bipartite network. The equilibrium of the game incorporates both the complementarity effect between collaborating researchers and the substitutability effect between concurrent projects of the same researcher. Next, we develop a Bayesian MCMC procedure to estimate the structural parameters, taking into account the endogenous matching of researchers and projects. Finally, we illustrate the empirical relevance of the model by analyzing the coauthorship network of economists registered in the RePEc Author Service.
Original languageEnglish
PublisherCentre for Economic Policy Research (CEPR)
Publication statusPublished - 2020

Publication series

NameDiscussion Paper
PublisherCentre for Economic Policy Research
No.26907
ISSN (Electronic)0265-8003

Keywords

  • bipartite networks, coauthorship networks, research collaboration, spillovers, economics of science

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