Working Paper: CEPR ID: DP15195
Authors: Michael Knig; Chihsheng Hsieh; Xiaodong Liu; Christian Zimmermann
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 Codes: C31; C72; D85; L14
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| spillover effects (F69) | productivity of coauthors (O47) |
| congestion effects (L91) | individual output (C67) |
| collaboration between researchers (O36) | spillover effects (F69) |
| collaboration between researchers (O36) | congestion effects (L91) |
| endogenous matching of researchers and projects (C78) | selection bias (C24) |