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Productivity spillovers in endogenous coauthor networks

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  • Wei Cheng

    (East China University of Science and Technology)

Abstract

This paper estimates the spillover effects of collaboration networks by quantifying the impact of collaborator quantity and quality on research productivity in cardiovascular medicine. Given the endogeneity of coauthor networks, we propose a two-stage approach for identifying spillover effects. The first stage analyzes the influencing factors in a scientist’s choice of collaborators. The second stage utilizes characteristics of the predicted collaborators from the first stage to construct instruments for key features of a scientist’s actual collaborator networks. Our results reveal that, after controlling for researcher fixed effects, the productivity of prior collaborators is no longer a significant determinant of a researcher’s own productivity, while the quantity of previous collaborators remains significant. Moreover, the magnitude of the spillover effects of possessing more collaborators varies by researcher characteristics.

Suggested Citation

  • Wei Cheng, 2022. "Productivity spillovers in endogenous coauthor networks," Empirical Economics, Springer, vol. 63(6), pages 3159-3183, December.
    • Handle: RePEc:spr:empeco:v:63:y:2022:i:6:d:10.1007_s00181-022-02235-3
    DOI: 10.1007/s00181-022-02235-3
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