Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics
Keith Head,
Yao Li and
Asier Minondo ()
The Review of Economics and Statistics, 2019, vol. 101, issue 4, 713-727
Abstract:
Combining data on locations with career and educational histories of mathematicians, we study how distance and ties affect citation patterns. The ties considered include coauthorship, past colocation, and relationships mediated by advisers and the alma mater. With fixed effects capturing subject similarity and article quality, we find linkages are strongly associated with citation. Controlling for ties generally halves the negative impact of geographic barriers on citations. Ties matter more for less prominent and more recent papers and have retained their quantitative importance in recent years. The impact of distance, controlling for ties, has fallen and is statistically insignificant after 2004.
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (30)
Downloads: (external link)
http://www.mitpressjournals.org/doi/pdf/10.1162/rest_a_00771 (application/pdf)
Access to PDF is restricted to subscribers.
Related works:
Working Paper: Geography, ties and knowledge flows: evidence from citations in mathematics (2018) 
Working Paper: Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics (2018) 
Working Paper: Geography, ties and knowledge flows: evidence from citations in mathematics (2018) 
Working Paper: Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics (2015) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tpr:restat:v:101:y:2019:i:4:p:713-727
Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535
Access Statistics for this article
The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu
More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().