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

C-Tier
Journal: Economic Modeling
Year: 2017
Volume: 66
Issue: C
Pages: 61-80

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:ecmode:v:66:y:2017:i:c:p:61-80
Journal Field
General
Author Count
3
Added to Database
2026-01-24