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Using linked administrative and census data for migration research

Bibliographic Data

ID4267641
AuthorsAnnemarie Ernsten (University of St Andrews), David Mccollum (0000-0001-8716-6852, University of St Andrews), Zhiqiang Feng (0000-0001-8668-7664, The Longitudinal Studies Centre Scotland, University of Edinburgh), Dawn Everington (The Longitudinal Studies Centre Scotland, University of Edinburgh), Zengyi Huang (0009-0009-1169-6086, The Longitudinal Studies Centre Scotland, University of Edinburgh)
Year2018
Volume72
Issue3
Pages357-367
Publication date2018-09-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePopulation Studies (JOURNAL)
Journal identifiersISSN: 0032-4728 • E-ISSN: 1477-4747
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00324728.2018.1502463
PMID30152266
OpenAlexW2889517518
LanguageEN
Citations received9
References cited22

Migration is a core component of population change and is both a symptom and a cause of major economic and social phenomena. However, data limitations mean that gaps remain in our understanding of the patterns and processes of mobility. This is particularly the case for internal migration, which remains under-researched, despite being quantitatively much more significant than international migration. Using the Scottish Longitudinal Study, this paper evaluates the potential value of General Practitioner administrative health data from the National Health Service that can be linked into census-based longitudinal studies for advancing migration research. Issues relating to data quality are considered and, using the illustrative example of internal migration by country of birth, an argument is developed contending that such approaches can offer novel ways of comprehending internal migration, by shedding additional light on the nature of both movers and the moves that they make

Argument (complex analysis) · Census · Demographic economics · Economics · Geography · Internal migration · Longitudinal data · Population · Regional science · Sociology · Demography · Employment and Welfare Studies · Health disparities and outcomes · Medicine · Migration, Aging, and Tourism Studies

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Unique citing works9
Citations per year1,5
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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