Demographic data are needed to understand how populations change over time and across countries, regions, and local areas. Such data are essential for assessing demand for education, pensions, health and social care services, and housing; understanding and managing labour markets; planning urban and infrastructure development; and designing migration and integration policies. However, detailed data disaggregated by age, sex, education, and other characteristics are rarely available beyond a limited number of developed economies. In this talk, Professor Arkadiusz Wiśniowski will demonstrate how Bayesian hierarchical models can be used to integrate data from traditional and digital trace sources to estimate detailed characteristics of the three components of population change: mortality, fertility, and migration.

Professor Arkadiusz Wiśniowski is a Professor of Social Statistics and Demography in the Department of Social Statistics, University of Manchester. His research focuses on international and internal migration, population change, and data integration. He serves on two sub-groups of the Office for National Statistics’ Methodology Assurance Review Panel on population and migration statistics and is an Associate Editor of Demographic Research journal. Previously, he worked at the University of Southampton, Warsaw School of Economics and Polish Academy of Sciences. He has also advised the Office for Statistics Regulation, Office for National Statistics, the UK Home Office, Eurostat, European Commission, and others.