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Networks, Geography, and Knowledge Flows: Evidence from Citation Patterns in Mathematics

Authors Head, Keith
Li, Yao View this author's profile
Minondo, Asier
Issue Date 2014
Source The ETSG (European Trade Study Group) 2014 Conference, ETSG 2014 Munich Sixteenth Annual Conference , 11-13 September 2014
Summary Using new data on citations to mathematics papers, genealogy of mathematicians, and highly disaggregated distance data for the world top 1000 institutions, we study how distance and networks affect knowledge spillovers among scholars.We measure scholarly networks through co-authorship, advisor-advisee relation-ships, sharing the same Ph.D. advisor, employment connections, and Alma Mater relationships (holding a Ph.D. from the institution where another scholar is affiliated). Using a matching methodology, we find that network linkages significantly facilitate knowledge flows. Controlling for networks, substantially dampens-and even eliminates in some specifications-the negative impact of geographic barriers on citations. Networks play a bigger role for scholars who reside further from each other.
Language English
Format Conference paper