We compile a novel high-frequency, detailed geographic dataset on mass layoffs from U.S. state labor departments. Using recent advances in difference-in-difference estimation with staggered treatment, we find that locally-mandated stay-at-home orders issued March 16–22, 2020 triggered mass...

We analyze whether employees with diagnosed mental health disorders have a higher probability of being laid off during corporate downsizing. Our analysis is based on nationwide administrative data on all private sector firms and their employees in Finland over the period 2005-2017. We focus on...

This paper uses the Austrian Social Security Register (ASSD) to explore what information firms infer from the three common types of displacement: individual layoffs, individuals displaced due to a closure and individuals displaced due to a mass layoff. I bring together two strands of the...

We document the consequences of losing a job across countries using a harmonized research design applied to seven matched employer-employee datasets. Workers in Denmark and Sweden experience the lowest earnings declines following job displacement, while workers in Italy, Spain, and Portugal...

We show that downsizing has substantial externalities on the health of workers who remain in the firm. To this end, we study mass layoff (ML) survivors in Austria, using workers who survive a ML themselves, but a few years in the future, as a control group. Based on highquality administrative...