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Markets for Scientific Attribution

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  • Joshua S Gans
  • Fiona Murray

Abstract

Formal attribution provides a means of recognizing scientific contributions as well as allocating scientific credit. This article examines the processes by which attribution arises and its interaction with market assessments of the relative contributions of members of scientific teams and communities—a topic of interest for the organizational economics of science and in understanding scientific labor markets. We demonstrate that a pioneer or senior scientist’s decision to co-author with a follower or junior scientist depends critically on market attributions as well as the timing of the co-authoring decision. This results in multiple equilibrium outcomes each with different implications for expected quality of research projects. However, we demonstrate that the Pareto efficient organizational regime is for the follower researcher to be granted co-authorship contingent on their own performance without any earlier pre-commitment to formal attribution. We then compare this with the alternative for the pioneer of publishing their contribution and being rewarded through citations. While in some equilibria (especially where co-authoring commitments are possible) there is no advantage to interim publication, in others this can increase expected research quality.

Suggested Citation

  • Joshua S Gans & Fiona Murray, 2023. "Markets for Scientific Attribution," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 39(3), pages 828-846.
  • Handle: RePEc:oup:jleorg:v:39:y:2023:i:3:p:828-846.
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    File URL: http://hdl.handle.net/10.1093/jleo/ewac007
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    Cited by:

    1. is not listed on IDEAS
    2. Raquel Campos & Fernanda Leon & Ben McQuillin, 2018. "Lost in the Storm: The Academic Collaborations That Went Missing in Hurricane ISSAC," Economic Journal, Royal Economic Society, vol. 128(610), pages 995-1018, May.
    3. Stéphane Bonhomme, 2021. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," Working Papers 2021-15, Becker Friedman Institute for Research In Economics.
    4. Karol Flores-Szwagrzak & Rafael Treibich, 2020. "Teamwork and Individual Productivity," Management Science, INFORMS, vol. 66(6), pages 2523-2544, June.
    5. Xu-hua Chang & Qiang Chen & Patrick S. W. Fong, 2017. "University invention disclosure: balancing the optimal stage and type," The Journal of Technology Transfer, Springer, vol. 42(3), pages 510-537, June.
    6. Stephane Bonhomme, 2021. "Teams: Heterogeneity, Sorting, and Complementarity," Papers 2102.01802, arXiv.org.

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    Keywords

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    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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