Barbara Stacherl hat am 9. September ihre Dissertation mit dem Titel „‚Spatial Healthcare Access: Measurement, Health-Related Outcomes, and Healthcare Utilization“ mit summa cum laude erfolgreich an der Universität Bielefeld abgeschlossen. Die Dissertation hat Barbara im Rahmen des Promotionsstudiengangs Public Health eingereicht und verteidigt. Die Kommission bestand aus Prof. Odile Sauzet (Erstbetreuung, ...
On September 9, Barbara Stacherl successfully completed her dissertation entitled “Spatial Healthcare Access: Measurement, Health-Related Outcomes, and Healthcare Utilization” with summa cum laude at Bielefeld University. Barbara submitted and defended her dissertation as part of the Public Health doctoral program. The committee consisted of Prof. Odile Sauzet (primary supervisor, Bielefeld University), ...
Machine learning is increasingly used in social science research, especially for prediction. However, the results are sometimes not as straight-forward to interpret compared to classic regression models. In this paper, we address this trade-off by comparing the predictive performance of random forests and logit regressions to analyze labor market vulnerabilities during the COVID-19 pandemic, and a ...
Stock market participation among working household heads jumped upwards in 2020 - in Germany by about 25 %. A major cause is the required use of work from home (WfH). We show this by adding WfH to a large set of explanatory variables. Moreover, we implement an instrumental variables estimation based on industry-specific levels of WfH-capacity. The transmission channels seem to work via increased available ...
