TY - UNPB
T1 - Superstar Economists: Co-authorship networks and research output
AU - Hsieh, Chih-Sheng
AU - Konig, M.D.
AU - Liu, Xiaodong
AU - Zimmermann, Christian
PY - 2018
Y1 - 2018
N2 - We study the impact of research collaborations in coauthorship networks on total research output. Through the links in the collaboration network researchers create spillovers not only to their direct coauthors but also to researchers indirectly linked to them. We characterize the equilibrium when agents collaborate in multiple and possibly overlapping projects. We bring our model to the data by analyzing the scientific coauthorship network of economists registered in the RePEc author service. We rank the authors and their departments according to their contribution to aggregate research output, and thus provide a novel ranking measure that explicitly takes into account the spillover effect generated in the coauthorship network. Moreover, we analyze various funding instruments for individual researchers as well as their departments, and compare them to the economics funding program by the National Science Foundation. Our results indicate that, because current funding schemes do not take into account the availability of coauthorship network data, they are ill-designed to take advantage of the spillover effects generated in scientific knowledge production networks.
AB - We study the impact of research collaborations in coauthorship networks on total research output. Through the links in the collaboration network researchers create spillovers not only to their direct coauthors but also to researchers indirectly linked to them. We characterize the equilibrium when agents collaborate in multiple and possibly overlapping projects. We bring our model to the data by analyzing the scientific coauthorship network of economists registered in the RePEc author service. We rank the authors and their departments according to their contribution to aggregate research output, and thus provide a novel ranking measure that explicitly takes into account the spillover effect generated in the coauthorship network. Moreover, we analyze various funding instruments for individual researchers as well as their departments, and compare them to the economics funding program by the National Science Foundation. Our results indicate that, because current funding schemes do not take into account the availability of coauthorship network data, they are ill-designed to take advantage of the spillover effects generated in scientific knowledge production networks.
M3 - Working paper
T3 - CEPR Discussion Paper Series
BT - Superstar Economists: Co-authorship networks and research output
PB - Centre for Economic Policy Research (CEPR)
ER -