Measuring migration using traditional and new data forms, Arkadiusz Wisniowski | LMS Summer School

Having up-to-date information about the nature and extent of migration within the EU is important for policy-making, such as labour market policy or social services. However, timely and reliable statistics on the number of EU citizens residing in or moving across other Member states are difficult to obtain. Official statistics on EU movers are developed by national offices of statistics and published by Eurostat, but they come with a considerable time lag of about two years. With the rise of the Internet, new data sources offer opportunities to complement traditional sources for EU mobility statistics. In particular, the availability of high quantities of data derived from social media has opened new opportunities. Therefore, we propose a statistical model that integrates data on migrant stocks within the EU from traditional sources such as census, population registers and Labour Force Survey, with new forms of data derived from Facebook. Then, we investigate the potential of the model to facilitate “now-casting”, that is, providing nearly real-time estimates that can serve as early warnings about changes in EU mobility. The model provides measures of uncertainty for the estimates of migrant stocks.

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Видео Measuring migration using traditional and new data forms, Arkadiusz Wisniowski | LMS Summer School канала London Mathematical Society