1. Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics
- Author
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Asier Minondo, Yao Amber Li, and Keith Head
- Subjects
Matching (statistics) ,Economics and Econometrics ,Download ,network, distance, border, geography, knowledge flows, academic citations, genealogy, matching ,media_common.quotation_subject ,Control (management) ,Logit ,jel:R1 ,Affect (psychology) ,Globalization ,Rlab ,Similarity (psychology) ,Institution ,Quality (business) ,Economic geography ,Social science ,computer.programming_language ,media_common ,Poverty ,jel:O3 ,Geography ,jel:F1 ,Unemployment ,Citation ,computer ,Social Sciences (miscellaneous) - Abstract
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 aect knowledge ows 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 aliated). Logit regressions using xed eects 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 insignicant after 2004.
- Published
- 2019