International mobility between the UK and Europe around Brexit: a data-driven study

Alina Sîrbu (), Diletta Goglia, Jisu Kim, Paul Maximilian Magos, Laura Pollacci, Spyridon Spyratos, Giulio Rossetti and Stefano Iacus ()
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Alina Sîrbu: University of Pisa
Diletta Goglia: University of Pisa
Jisu Kim: Max Planck Institute for Demographic Research
Paul Maximilian Magos: University of Pisa
Laura Pollacci: University of Pisa
Spyridon Spyratos: European Union Intellectual Property Office
Giulio Rossetti: National Research Council (CNR)

Journal of Computational Social Science, 2024, vol. 7, issue 2, No 12, 1482 pages

Abstract: Abstract Among the multiple effects of Brexit, changes in migration and mobility across Europe were expected. Several studies have analysed these aspects, mostly from the point of view of perceptions, motivations, economic effects, scenarios, and changes in migration from Central and Eastern European countries. In this study we propose an analysis of migration and cross-border mobility using an integrated data-driven approach. We investigate official statistics from Eurostat, together with non-traditional data, to give a more complete view of the changes after Brexit, at EU and regional level. Specifically, we employ scientific publication and Crunchbase data to study highly-skilled migration, Twitter and Air Passenger data to investigate monthly trends. While main trends are preserved across datasets, with a general decrease in migration towards the UK immediately after the referendum approval, we are able to also observe more fine grained trends specific to some data or regions. Furthermore, we relate the changes in mobility observed from Air Passenger data with attention to Brexit from Google Trends data.

Keywords: Human migration; Human mobility; Brexit; Eurostat; Air passenger data; Twitter data; Scientific publications; Crunchbase; Google Trends (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s42001-024-00277-4

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