We are pleased to invite submissions for our workshop taking place on November 26-27, 2026 at DIW Berlin. The workshop is part of the SOEP-LEE2 project and brings together research on resilience, crisis responses, digital transformation, and cyber security, with a particular emphasis on empirical work using survey and linked data on firms, employees, and households. It will also showcase new data...
This article explains how the triadic brokering system in the European Union affects the conditions of work and pay of mobile care workers. Using original survey data gathered from Polish care workers in Germany, the authors found that workers earn less money the more hours they work. Based on qualitative interviews with care workers and representatives of labor market intermediaries, they argue that ...
As regional economic disparities within countries grow, governments are increasingly experimenting with public employment reallocation as a place-based policy. In this paper, I estimate the causal effect on local labor markets of a German policy that relocated about 3,000 public sector jobs to lagging regions. Using novel data on 60 agency relocations from 2015–2025, I estimate employment and...
Georeferenced data are often anonymized for data protection reasons. This is done either by aggregating the data into larger spatial units (e.g., higher-level administrative units or grids with larger cell sizes) or by using stochastic methods to deliberately overlay the original coordinates. These methods significantly distort the data and associated variables, making further modeling steps...
Comparisons of educational achievement across cohorts are frequently used to examine changes in educational performance and to evaluate the impact of societal or educational events, such as the COVID-19 pandemic. However, drawing causal inferences from observational data without strong experimental control remains challenging, as often no single clear methodological approach is universally...
