Measuring and forecasting migration with traditional and novel data

Description

Up-to-date information about the size of international migration is important for policymaking, such as labour market policy or social services, as well as for planning and allocation of resources. However, timely and reliable statistics on international migration are often imperfect, incomparable or missing. With the rise of the Internet, new data sources offer opportunities to complement traditional sources for migration statistics. In particular, the availability of large quantities of data derived from social media and from search engines has opened new avenues of research. In this talk, two examples of combining traditional and novel data to measure and forecast international migration are presented. The first one demonstrates how official data on migrant stocks derived from censuses, population registers, Labour Force Survey and Facebook Advertising Platform can be integrated to produce harmonised estimates and forecasts of bilateral migrant stocks within the European Union. The second example shows the use of Google Trends data to make short-term forecasts of migration from Romania to the United Kingdom.

Period	2 Sept 2025
Held at	Renmin University, China
Degree of Recognition	Local