Working Paper

Collaboration in Bipartite Networks, with an Application to Coauthorship Networks

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.

Keywords: bipartite networks; coauthorship networks; research collaboration; spillovers; economics of science;

JEL Classification: C31; C72; D85; L14;

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Bibliographic Information

Provider: Federal Reserve Bank of St. Louis

Part of Series: Working Papers

Publication Date: 2020-08-17

Number: 2020-030