Integrated Data on People, Time, and Places in Research on Social Stratification and Mobility

The amount of data available for social research is steadily increasing as governments as well as other public and private institutions gradually make their resources more accessible to the academic community. Large scale unit-level administrative data collected over time are particularly important as they allow for, among others, longitudinal studies of entire populations. However, as more data sources are made available to researchers, integrating person-centred or household-centred data, both survey and administrative, with other types of data becomes a pertinent issue. Bringing together different types of data helps overcome the limitations of individual datasets and expands research possibilities. In doing so, it enables new types of research and creates an opportunity for adding new perspectives to already established strands of research. Integrating data on people, time, and places is just one example of such an endeavour. This session invites papers that present novel research based on integrating different types of data, drawn from multiple sources, and demonstrate the potential of such integrated data for advancing scholarly knowledge on social stratification and mobility. Studies that explore the interactions between individual-level factors and geographical variables, their evolution over time, and their implications for studying social inequalities and social structures are particularly encouraged.