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An Evaluation of Researchers' Migration Patterns in Europe using Digital Trace Data

2023/02/15 by Jacopo Ghirri, Marta Mastropietro, Ghirri, Jacopo +7
Economics, Econometrics and Finance · Social Sciences · #Applications (stat.AP) #FOS: Computer and information sciences #Migration and Labor Dynamics #Regional Development and Policy #Regional Economics and Spatial Analysis

paper · pdf · doi:10.48550/arxiv.2302.07764

openalex publication_date 2023/02/15 · openalex created_date 2023/02/18 · openalex updated_date 2026/07/28

Abstract

The comprehension of the mechanisms behind the mobility of skilled workers is of paramount importance for policy making. The lacking nature of official measurements motivates the use of digital trace data extracted from ORCID public records. We use such data to investigate European regions, studied at NUTS2 level, over the time horizon of 2009 to 2020. We present a novel perspective where regions roles are dictated by the overall activity of the research community, contradicting the common brain drain interpretation of the phenomenon. We find that a high mobility is usually correlated with strong university prestige, high magnitude of investments and an overall good schooling level in a region.

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