G2TT
来源类型Discussion paper
规范类型论文
来源IDDP12942
DP12942 Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics
Keith Head; Yao Amber Li
发表日期2018-05-18
出版年2018
语种英语
摘要Using data on academic citations, career and educational histories of mathematicians, and disaggregated distance data for the world’s top 1000 math departments, we study how geography and ties affect knowledge flows among scholars. The ties we consider are coauthorship, past colocation, advisor-mediated relationships, and alma mater relationships (holding a Ph.D. from the institution where another scholar is affiliated). Logit regressions using fixed effects that control for subject similarity, article quality, and temporal lags, show 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 show no decline in importance in recent years. The impact of distance--controlling for ties--has fallen and is statistically insignificant after 2004.
主题International Trade and Regional Economics
URLhttps://cepr.org/publications/dp12942
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/541753
推荐引用方式
GB/T 7714
Keith Head,Yao Amber Li. DP12942 Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics. 2018.
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