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Collaboration in Bipartite Networks, with an Application to Coauthorship Networks

Author

Listed:
  • Chih-Sheng Hsieh

    (National Taiwan University)

  • Michael König

    (Vrije Universiteit Amsterdam)

  • Xiaodong Liu

    (University of Colorado Boulder)

  • Christian Zimmermann

    (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.

Suggested Citation

  • Chih-Sheng Hsieh & Michael König & Xiaodong Liu & Christian Zimmermann, 2020. "Collaboration in Bipartite Networks, with an Application to Coauthorship Networks," Tinbergen Institute Discussion Papers 20-056/VIII, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20200056
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Charroin, Liza & Fortin, Bernard & Villeval, Marie Claire, 2022. "Peer effects, self-selection and dishonesty," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 618-637.
    2. Liza Charroin, 2018. "Homophily, peer effects and dishonesty," Post-Print halshs-01993618, HAL.
    3. Liza Charroin & Bernard Fortin & Marie Claire Villeval, 2022. "Peer effects, self-selection and dishonesty," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03712450, HAL.
    4. Wei Cheng, 2022. "Productivity spillovers in endogenous coauthor networks," Empirical Economics, Springer, vol. 63(6), pages 3159-3183, December.
    5. Liza Charroin & Bernard Fortin & Marie Claire Villeval, 2022. "Peer effects, self-selection and dishonesty," Post-Print hal-03712450, HAL.
    6. Margherita Comola & Rokhaya Dieye & Bernard Fortin, 2022. "Heterogeneous peer effects and gender-based interventions for teenage obesity," CIRANO Working Papers 2022s-25, CIRANO.

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    More about this item

    Keywords

    bipartite networks; coauthorship networks; research collaboration; spillovers; economics of science;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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