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
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)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: Co-Authorship And Research Productivity In Economics: Assessing The Assortative Matching Hypothesis (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:66:y:2017:i:c:p:61-80
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().