In recent US recessions, employment losses have been much larger for men than for women. Yet, in the current recession caused by the Covid-19 pandemic, the opposite is true: unemployment is higher among women. In this paper, we analyze the causes and consequences of this phenomenon.
We examine the dynamics of GDP following an economy-wide pandemic shock that curtails physical mobility and the ability to perform certain tasks at work. We examine whether greater reliance on digital technologies has the potential to mediate employment and productivity losses.
To slow the spread of COVID-19, many countries are shutting down non-essential sectors of the economy. Older individuals have the most to gain from slowing virus diffusion. Younger workers in sectors that are shuttered have the most to lose.
Over the last 15 years, 11 states have restricted employers' access to the credit reports of job applicants.
We study a dynamic macro model to capture the trade-off between policies that simultaneously decrease output and the rate of infection transmission.