We examine how the gender of business-owners is related to the wages paid to female relative to male employees working in their firms. Using Finnish register data and employing firm fixed effects, we find that the gender pay gap is – starting from a gender pay gap of 11 to 12 percent – two to three percentage-points lower for hourly wages in female-owned firms than in male-owned firms. Results are ...
Current psychological theories on daily social interactions emphasize individual differences yet are underspecified regarding contextual factors. We aim to extend this research by examining how two context factors shape social interactions in daily life: how many relationships people maintain and how densely people live together. In Study 1, 307 German participants (Mage = 39.44 years, SDage = 14.14) ...
In Deutschland ist die Zahl der Privatschulen seit 1992 erheblich gestiegen, insbesondere in Ostdeutschland. Diese Schulen werden überwiegend von SchülerInnen aus sozioökonomisch privilegierten Haushalten besucht, während Kinder aus einkommensschwachen Familien seltener vertreten sind. In diesem Beitrag untersuchen wir, ob die räumliche Verteilung der Privatschulen mit sozialen Ungleichheiten beim ...
The final workshop of the Einstein research project “Open-Source Modeling of the Role of Renewable Hydrogen in Germany and Europe” will take place as part of this year's InfraDay, a free conference organized annually by TU Berlin. The research project (project website) has been running since November 2021 and will be completed at the end of October. The aim of the project, which was carried out...
Crime, Labour and Inequality Department Team
Crime, Labour and Inequality Department News
The InfPP initiative aims to expand data access for social science research by utilizing existing large-scale surveys and infrastructures such as the SOEP Innovation Panel, the GESIS Panel, the GESIS Access Panel for digital behavioral data, and the NEPS Next cohorts. These platforms enable innovative surveys and experiments, including the selection of special-interest groups, linking different...
The Project Synthetic Health Data for Research and Policy which is part of the Leibniz Lab "Pandemic Preparedness" aims to develop methods for generating synthetic health data for pandemic research and policy advice. The project will involve several key steps: Data Review: Analysis and categorization of existing health datasets in Germany, focusing on infectious diseases and personal or...