| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP15195 |
| DP15195 Collaboration in Bipartite Networks, with an Application to Coauthorship Networks | |
| Michael König; Chih-Sheng Hsieh; Xiaodong Liu; Christian Zimmermann | |
| 发表日期 | 2020-08-23 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | 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. |
| 主题 | Industrial Organization |
| 关键词 | Bipartite networks Coauthorship networks Research collaboration Spillovers Economics of science |
| URL | https://cepr.org/publications/dp15195 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/544165 |
| 推荐引用方式 GB/T 7714 | Michael König,Chih-Sheng Hsieh,Xiaodong Liu,et al. DP15195 Collaboration in Bipartite Networks, with an Application to Coauthorship Networks. 2020. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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