This paper examines the impact of the COVID-19 pandemic on employment and respiratory health for remote workers (i.e. those who can work from home) and non-remote workers in the United States. Using a large, nationally-representative, high-frequency panel dataset from March through July of 2020,...

This paper examines the impact of the COVID-19 pandemic on employment and respiratory health for remote workers (i.e. those who can work from home) and non-remote workers in the United States. Using a large, nationally-representative, high-frequency panel dataset from March through July of 2020,...

This paper examines the impact of the COVID-19 pandemic on employment and respiratory health for remote workers (i.e. those who can work from home) and non-remote workers in the United States. Using a large, nationally-representative, high-frequency panel dataset from March through July of 2020,...

This paper examines the impact of the COVID-19 pandemic on employment and respiratory health for remote workers (i.e. those who can work from home) and non-remote workers in the United States. Using a large, nationally-representative, high-frequency panel dataset from March through July of 2020,...

We use a longitudinal dataset measuring beliefs and behaviors to study the dynamics of model - or narrative - adoption during the Covid-19 pandemic. We show that individuals switch beliefs about the effectiveness of preventive behaviors following changes in perceived risk. The adoption of...