Dilek Yildiz, Arkadiusz Wiśniowski, Guy J. Abel, Ingmar Weber, Emilio Zagheni, Cloé Gendronneau, Stijn Hoorens
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引用次数: 0
Abstract
Although up-to-date information on the nature and extent of migration within the European Union (EU) is important for policymaking, timely and reliable statistics on the number of EU citizens residing in or moving across other member states are difficult to obtain. In this paper, we develop a statistical model that integrates data on EU migrant stocks using traditional sources such as census, population registers and Labour Force Survey, with novel data sources, primarily from the Facebook Advertising Platform. Findings suggest that combining different data sources provides near real-time estimates that can serve as early warnings about shifts in EU mobility patterns. Estimated migrant stocks match relatively well to the observed data, despite some overestimation of smaller migrant populations and underestimation for larger migrant populations in Germany and the United Kingdom. In addition, the model estimates missing stocks for migrant corridors and years where no data are available, offering timely now-casted estimates.
期刊介绍:
International Migration Review is an interdisciplinary peer-reviewed journal created to encourage and facilitate the study of all aspects of sociodemographic, historical, economic, political, legislative and international migration. It is internationally regarded as the principal journal in the field facilitating study of international migration, ethnic group relations, and refugee movements. Through an interdisciplinary approach and from an international perspective, IMR provides the single most comprehensive forum devoted exclusively to the analysis and review of international population movements.