ESRA 2027 sessions by theme

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Session Details

The increasing availability of administrative registers, business data, web-scraped data, and other emerging data sources has profoundly transformed the production of official labour statistics. Nowadays, many National Statistical Institutes (NSIs) integrate information from multiple sources, including household surveys, tax registers, employer records, and digital trace data. Combining the diverse data sources has allowed NSIs to respond to the growing call for more timely and detailed data in times when traditional surveys have a high response burden and consequently increased costs.
Beyond improving the efficiency of official labour statistics, integrated multi-source data creates novel opportunities to study dimensions of labour markets. Whether it is via micro- or macro-integration, researchers can now investigate complex labour market dynamics by linking information across multiple sources. Thus, it is common to see advanced research on topics including precarious employment and employment quality. Moreover, richer longitudinal data have made possible for the study of transitions between employment states, labour market trajectories, and heterogeneous career pathways across population groups. Insights from this type of research can support better labour policies across individuals’ work trajectories and considerably reduce labour market inequalities.
In this session, we will discuss a range of statistical methods for analysing labour market dynamics using integrated data. We will additionally consider applied studies using these methods and demonstrating the advantages and limitations of multi-source data.