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Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics

Keith Head, Yao Amber Li and Asier Minondo ()
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Keith Head: University of British Columbia
Yao Amber Li: Hong Kong University of Science and Technology

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
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Related works:
Working Paper: Geography, Ties and Knowledge Flows: Evidence from Citations in Mathematics (2018) Downloads
Working Paper: Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics (2018) Downloads
Working Paper: Geography, ties and knowledge flows: evidence from citations in mathematics (2018) Downloads
Working Paper: Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics (2015) Downloads
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The Review of Economics and Statistics is currently edited by Amitabh Chandra, Olivier Coibion, Bryan S. Graham, Shachar Kariv, Amit K. Khandelwal, Asim Ijaz Khwaja, Brigitte C. Madrian and Rohini Pande

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