Intra Eu Labour Mobility Pros And Cons

Author : Cloé Gendronneau
Publisher :
ISBN 13 : 9789276087496
Total Pages : pages
Book Rating : 4.0/5 (874 download)

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Download or read book Measuring Labour Mobility and Migration Using Big Data written by Cloé Gendronneau and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The free movement of people and workers, introduced by the Maastricht Treaty, ensures that all EU citizens and their family members have the right to seek work, become self-employed, be a pensioner or student anywhere across the EU. Latest official available data from Eurostat report that 17.6 million EU citizens are currently living and working abroad and 4 per cent of the EU population of working age lives in another EU country. Having up-to-date information about the nature and extent of such mobility 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 potentially offer opportunities to complement traditional sources for EU mobility statistics. In particular, the availability of high quantities of individual geo-tagged data from social media (i.e. metadata that contains information linked to the geographical location of the content) has opened new opportunities. In this report, we study these opportunities in detail, exploring the possibilities of using these new "big data" sources - focusing in particular on social-media data, such as those from Facebook and Twitter - to develop a method to provide more timely and potentially more accurate EU mobility statistics. As such, we investigate the potential of geo-referenced social-media data to facilitate "nowcasting", providing nearly real-time estimates that will serve as early warnings about changes in EU mobility. In order to tailor the study's scope to the policy area of European Commission's Employment, Social Affairs and Equal Opportunities DG, we focus on intra-EU migration - or in other words, EU mobility. Against this background, we have collected a number of different datasets to develop methodologies to provide recent estimates of stocks of EU movers and EU mobility flows using social-media data, complemented with traditional data sources. Stocks and flows are concepts regularly used in migration research, stemming from the field of system dynamics. A stock is a measure of a quantity at one specific time that may have accumulated in the past - in this case, EU movers residing in a different member state. A flow variable is roughly equivalent to a rate or a speed measured over an interval of time. Mobility flows are expressed as the total number of EU citizens per time unit (e.g. year) moving from one member state to the other. This document reports the results of this attempt to develop such an approach. The report takes stock of the advantages and disadvantages of new and traditional data sources, and what is known about new methodologies using social-media data. It subsequently describes the data collected, the proposed models for estimating stocks and flows, and the results of the application of these models using real-world data. Furthermore, the report offers direction for the European Commission to potentially use this approach in the policy process.