We estimate a three-variate VAR using proxies of global financial uncertainty, the global financial cycle, and world industrial production to simulate the effects of the jump in financial uncertainty observed in correspondence of the Covid-19 outbreak. We predict the cumulative loss in world...

We embed a lockdown choice in a simplified epidemiological model and derive formulas for the optimal lockdown intensity and duration. The optimal policy reflects the rate of time preference, epidemiological factors, the hazard rate of vaccine discovery, learning effects in the health care...

We study the impact of short-term exposure to ambient air pollution on the spread and severity of COVID-19 in Germany. We combine data on county-by-day level on confirmed cases and deaths with information on local air quality and weather conditions and exploit short-term variation in the...

Countries worldwide have implemented lockdown measures to contain the COVID-19 pandemic. After more than three months of restrictions to economic activities in many countries, the question has turned to the best ways to lift lockdowns while keeping the epidemic in check. Here I use basic...

There is significant cross-country variation in Covid-19 fatalities worldwide. In this study, we analyze the relationship between political trust and fatalities of the Covid-19 pandemic. By performing a cross-country analysis and controlling for other determinants, we find that government trust...

Early non-pharmaceutical interventions (NPI) significantly reduced the death toll of the COVID-19 pandemic. Yet, there are vast differences in how quickly governments implemented NPIs. In this paper, we analyze the role of public attention, measured as the share of daily Google searches in a...

I present a stylized suspected-infected-recovered (SIR) model of COVID-19, with symptomatic versus asymptomatic patients, and social distancing intervention. The optimal suppress strategy has low-infection rates, enabling assumptions that support closed-form solutions. The model predicts high...

I use daily data from fifty major cities to investigate the early effects of the COVID-19 pandemic on housing market in the United States. I find that starting from the second half of March, 2020, new home listings and pending home sales started to decrease. By mid-April, certain markets...