Co-authorship and research productivity in economics: Assessing the assortative matching hypothesis

Damien Besancenot, Kim Huynh and Francisco Serranito

Economic Modelling, 2017, vol. 66, issue C, 61-80

Abstract: This paper estimates the relation between the size and quality of scientists’ co-author networks and individual characteristics (notably productivity) in the context of institutional changes in French academia in the mid-1980s. The analysis employs the Two-Stage Residual Inclusion (2SRI) framework to handle endogeneity in individual productivity relative to the quality of co-authors. The main finding is that the size and quality of authors’ networks are positively related to their productivity; this is understood as evidence of assortative matching. Other effects on co-author networks (such as life-cycles, specialties fields) are also identified. Our results have important policy implications as it indirectly demonstrates the effectiveness of career incentives linked to publication.

Keywords: A14; C25; D83; I23; Co-authorship; Count data; Zero inflate models; Instrumental variables; h index (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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Related works:
Working Paper: Co-authorship and Research Productivity in Economics: Assessing the Assortative Matching Hypothesis (2017)
Working Paper: Co-Authorship And Research Productivity In Economics: Assessing The Assortative Matching Hypothesis (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:66:y:2017:i:c:p:61-80

DOI: 10.1016/j.econmod.2017.05.018

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