We use dynamic panel data models to generate density forecasts for daily Covid-19 infections for a panel of countries/regions. At the core of our model is a specification that assumes that the growth rate of active infections can be represented by autoregressive fluctuations around a downward...

This note lays out the basic Susceptible-Infected-Recovered (SIR) epidemiological model of contagion, with a target audience of economists who want a framework for understanding the effects of social distancing and containment policies on the evolution of contagion and interactions with the...

We study the effect of media coverage on individual behaviour during a public health crisis. For this purpose, we collect a unique dataset of 200,000 newspaper articles about the Covid-19 pandemic from Sweden - one of the few countries that did not impose mandatory lockdowns or curfews. We show...

When Covid-19 was declared as a pandemic, countries administered lockdowns and stimulus packages were announced to address the deteriorating situation. For implementing these packages, routine control measures were simplified and often relaxed. The G20 countries were quick to react by...

Trust in the health care system requires being confident that sufficient and appropriate treatments will be provided if needed. The COVID-19 public health crisis is a significant, global, and (mostly) simultaneous test of the behavioral implications arising from this trust. We explore whether...

We construct a quantitative model of an economy hit by an epidemic. People differ by age and skill, and choose occupations and whether to commute to work or work from home, to maximize their income and minimize their fear of infection. Occupations differ by wage, infection risk, and the...