Collaboration in Bipartite Networks, with an Application to Coauthorship Networks
Tinbergen Institute Discussion Paper 2020-056/VIII
40 Pages Posted: 28 Oct 2020
Date Written: August 17, 2020
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 co-authorship network of economists registered in the RePEc Author Service.
Keywords: bipartite networks, co-authorship networks, research collaboration, spillovers, economics of science
JEL Classification: C31, C72, D85, L14
Suggested Citation: Suggested Citation