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Co-authorship and the Measurement of Individual Productivity

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Abstract

Consider a database of academic papers where each paper has a scientific worth and a group of authors. We propose a new way of measuring individual academic productivity by evaluating authorship, the extent of an author's contribution to each paper. Our method, CoScore, uses the varying levels of success of all academic partnerships to infer, simultaneously, overall individual productivity and authorship: the worth of a paper is distributed proportionally to each co-author's productivity, defined as the sum of her contributions to all papers. The CoScores of all authors are determined endogenously via the solution of a fixed point problem. We show that CoScore is well-defined and that it is uniquely characterized by three properties: consistency, invariance to merging papers, and invariance to merging scholars. We illustrate CoScore for the two thousand most cited papers in economics.

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  • Flores-Szwagrzak, Karol & Treibich, Rafael, 2015. "Co-authorship and the Measurement of Individual Productivity," Discussion Papers of Business and Economics 17/2015, University of Southern Denmark, Department of Business and Economics.
  • Handle: RePEc:hhs:sdueko:2015_017
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    File URL: http://www.sdu.dk/-/media/files/om_sdu/institutter/ivoe/disc_papers/disc_2015/dpbe17_2015.pdf
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    References listed on IDEAS

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    1. Demange, Gabrielle, 2014. "A ranking method based on handicaps," Theoretical Economics, Econometric Society, vol. 9(3), September.
    2. Ignacio Palacios-Huerta & Oscar Volij, 2004. "The Measurement of Intellectual Influence," Econometrica, Econometric Society, vol. 72(3), pages 963-977, May.
    3. Kalaitzidakis, P. & Mamuneas, T.P. & Stengos, T., 2003. "Rankings of Academic Journals and Institutions," Working Papers 2003-8, University of Guelph, Department of Economics and Finance.
    4. William Thomson, 2011. "Consistency and its converse: an introduction," Review of Economic Design, Springer;Society for Economic Design, vol. 15(4), pages 257-291, December.
    5. Pantelis Kalaitzidakis & Theofanis P. Mamuneas & Thanasis Stengos, 2003. "Rankings of Academic Journals and Institutions in Economics," Journal of the European Economic Association, MIT Press, vol. 1(6), pages 1346-1366, December.
    6. John P. Conley & Ali Sina Onder, 2014. "The Research Productivity of New PhDs in Economics: The Surprisingly High Non-success of the Successful," Journal of Economic Perspectives, American Economic Association, vol. 28(3), pages 205-216, Summer.
    7. Perry, Motty & Reny, Philip J., 2015. "How To Count Citations If You Must," Economic Research Papers 270001, University of Warwick - Department of Economics.
    8. Motty Perry & Philip J. Reny, 2016. "How to Count Citations If You Must," American Economic Review, American Economic Association, vol. 106(9), pages 2722-2741, September.
    9. Chambers, Christopher P. & Miller, Alan D., 2014. "Scholarly influence," Journal of Economic Theory, Elsevier, vol. 151(C), pages 571-583.
    10. Palacios-Huerta, Ignacio & Volij, Oscar, 2014. "Axiomatic measures of intellectual influence," International Journal of Industrial Organization, Elsevier, vol. 34(C), pages 85-90.
    11. Thomson, William, 2012. "On The Axiomatics Of Resource Allocation: Interpreting The Consistency Principle," Economics and Philosophy, Cambridge University Press, vol. 28(03), pages 385-421, November.
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    Cited by:

    1. Mukherjee, Conan & Alam, Aftab, 2016. "On Evaluating Author's Performance by Publications: An Axiomatic Study," Working Papers 2016:14, Lund University, Department of Economics, revised 12 May 2017.

    More about this item

    Keywords

    Authorship; Co-authorship network; Ranking methods; PageRank;

    JEL classification:

    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other

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