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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
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Working Paper: Co-Authorship And Research Productivity In Economics: Assessing The Assortative Matching Hypothesis (2016) Downloads
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