This paper sheds light on a neglected reason for women's underrepresentation in politics: crisis-induced gender gaps in incumbents' reelection with lasting negative effects on female representation. We use hand-collected data on 173,339 candidates in open-list local council elections (1997-2021)...

This paper reviews the history of the practice of quarantines, rediscovering the 19th century 'Sanitarian' movement in Britain that sprang from a recognition that quarantines had failed to stop the spread of diseases and were not cost-effective. To our knowledge, the key figure among the...

This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient Boosting, and an Ensemble - alongside registry data on abortions in Spain from 2011-2019 to predict multiple abortions and assess monetary savings through targeted interventions. We...

Exploiting future exposure to job termination in the UK, this paper finds that sharply increased job loss expectations before job termination significantly increase mental distress. This anticipation effect is largest in tight labor markets but does not spill over within couples. In contrast,...

Critics protest loudly against restrictions imposed by politicians during the COVID-19 pandemic in Germany: Mandatory masks, lockdowns, school and business closures. This paper examines (1) the extent to which these policies have indirectly contributed to limiting the number of COVID-19 cases...

We study the economic consequences of stress-related occupational illnesses (burnout) using Swedish administrative data. Using a mover design, we find that high-burnout firms and stressful occupations universally raise burnout risk yet disproportionately impact low-stress-tolerance workers....

Feedback control-based mitigation strategies for COVID-19 are threatened by the time span occurring before an infection is detected in official data. Such a delay also depends on behavioral, technological and procedural issues other than the incubation period. We provide a machine learning...

Identifying structural breaks in the dynamics of COVID-19 contagion is crucial to promptly assess policies and evaluate the effectiveness of lockdown measures. However, official data record infections after a critical and unpredictable delay. Moreover, people react to the health risks of the...

We use quarterly panel data from the COME-HERE survey covering five European countries to analyse three facets of the experience of loneliness during the COVID-19 pandemic. First, in terms of prevalence, loneliness peaked in April 2020, followed by a U-shape pattern in the rest of 2020, and then...

We employ a large social experiment combined with register-based data allowing for up to 12-year follow-up to evaluate a long-lasting employer-sponsored health and well-being program. We show that employees at treated worksites receive fewer consultations from their primary care physician and...