Global brain drain and gain in high-potential student mobility
Tabia Tanzin Pramaa, Christopher M. Danfortha, and Peter Sheridan Dodds

TL;DR
This study uses digital trace data to map global high-potential graduate mobility, revealing concentration patterns, demographic disparities, and destination-specific factors influencing talent flows worldwide.
Contribution
It introduces a novel approach using LinkedIn data to analyze detailed international mobility patterns of elite graduates, filling data gaps in traditional sources.
Findings
38.4% of elite graduates move to the US
Regional hubs like UAE attract significant talent
Gender gap varies sharply by destination
Abstract
The mobility of high-potential individuals, particularly graduates from elite academic institutions, serves as a critical driver of global innovation and economic development. Despite its importance, granular data on the specific trajectories and demographic drivers of these flows remain scarce in traditional administrative sources. In this study, we leverage anonymized, aggregate-level digital trace data from the LinkedIn Advertising platform to map the international mobility of graduates from 1,504 QS-ranked universities across 102 countries. We find that global talent flows are highly concentrated, with the United States capturing 38.4\% of the mobile elite, followed by the United Kingdom (7.9\%) and Canada (6.8\%), while regional hubs like the United Arab Emirates (5.2\%) have emerged as significant talent magnets. Our analysis reveals a global Relative Gender Gap (RGG) of +3.16\%,…
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