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Thou shalt not work alone

Author

Listed:
  • Damien Besancenot

    () (CEPN - Centre d'Economie de l'Université Paris Nord - UP13 - Université Paris 13 - USPC - Université Sorbonne Paris Cité - CNRS - Centre National de la Recherche Scientifique)

  • Kim Huynh

    () (LEM - Laboratoire d'Économie Moderne - UP2 - Université Panthéon-Assas)

  • Francisco Serranito

    () (LEO - Laboratoire d'Économie d'Orleans - CNRS - Centre National de la Recherche Scientifique - Université de Tours - UO - Université d'Orléans)

Abstract

This paper focuses on the properties of the matching process which leads to scientific collaboration. In a first step, it proposes a simple theoretical model to describe the intertemporal choice of researchers facing successive opportunities of co-authoring papers. In a second part, the paper empirically assesses the properties of the model. The main empirical result is that the number and the productivity of a researcher's co-authors reflect the productivity of this researcher. This result is consistent with the assumption that co-authorship is motivated by a willingness to increase both the quality and the quantity of research output. As researchers with a lot of influent publications papers may create links with a large number of influential co-authors, co-authoring with highly productive academics appears as a signaling device of researchers' quality.

Suggested Citation

  • Damien Besancenot & Kim Huynh & Francisco Serranito, 2015. " Thou shalt not work alone ," CEPN Working Papers hal-01175758, HAL.
  • Handle: RePEc:hal:cepnwp:hal-01175758
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-01175758
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    File URL: https://hal.archives-ouvertes.fr/hal-01175758/document
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    References listed on IDEAS

    as
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    Cited by:

    1. Besancenot, Damien & Huynh, Kim & Serranito, Francisco, 2017. "Co-authorship and research productivity in economics: Assessing the assortative matching hypothesis," Economic Modelling, Elsevier, vol. 66(C), pages 61-80.

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    Keywords

    matching; researchers' strategy; Co-authorship;

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