Collaboration in Bipartite Networks, with an Application to Coauthorship Networks

Chih-Sheng Hsieh, Michael König, Xiaodong Liu and Christian Zimmermann

No 2020-030, Working Papers from Federal Reserve Bank of St. Louis

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 (search for similar items in EconPapers)
JEL-codes: C31 C72 D85 L14 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2020-08-17
New Economics Papers: this item is included in nep-gth, nep-ppm and nep-sog
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Related works:
Working Paper: Collaboration in Bipartite Networks, with an Application to Coauthorship Networks (2020)
Working Paper: Collaboration in Bipartite Networks, with an Application to Coauthorship Networks (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:fip:fedlwp:88709

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DOI: 10.20955/wp.2020.030

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