Arbeitspapier

Collaboration in Bipartite Networks, with an Application to Coauthorship Networks

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.

Language: Englisch

Bibliographic citation: Series: Tinbergen Institute Discussion Paper ; No. TI 2020-056/VIII

Classification: Wirtschaft
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Noncooperative Games
Network Formation and Analysis: Theory
Transactional Relationships; Contracts and Reputation; Networks

Subject: bipartite networks
coauthorship networks
research collaboration
spillovers
economics of science

Event: Geistige Schöpfung

(who): Hsieh, Chih-Sheng
König, Michael
Liu, Xiaodong
Zimmermann, Christian

Event: Veröffentlichung

(who): Tinbergen Institute

(where): Amsterdam and Rotterdam

(when): 2020

Handle: http://hdl.handle.net/10419/229676

Last update: 10.03.2025, 11:42 AM CET

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Object type

Arbeitspapier

Associated

Hsieh, Chih-Sheng
König, Michael
Liu, Xiaodong
Zimmermann, Christian
Tinbergen Institute

Time of origin

2020

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Collaboration in Bipartite Networks, with an Application to Coauthorship Networks

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Other Objects (12)

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