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 paper presents a new data set collected on representative samples across 6 countries: China, South Korea, Japan, Italy, the UK and the four largest states in the US. The information collected relates to work and living situations, income, behavior (such as social-distancing, hand-washing...

In this paper, we study how China's stock market reacts to the sudden outbreak of COVID-19 in 2020, particularly to the announcement of the pandemic lockdown. In general, we observe reversals both at the industry level and at the firm level due to investors' overreactions to the pandemic...