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...

We study the role of global supply chains in the impact of the Covid-19 pandemic on GDP growth for 64 countries. We discipline the labor supply shock across sectors and countries using the fraction of work in the sector that can be done from home, interacted with the stringency with which...

We use micro data on earnings together with the details of each state's unemployment insurance (UI) system to compute the distribution of UI benefits after the uniform $600 Federal Pandemic Unemployment Compensation (FPUC) supplement implemented by the CARES Act. We find that between April and...

We quantify the macroeconomic effects of COVID-19 for emerging markets using a SIR-multisector-small open economy model and calibrating it to Turkey. Domestic infection rates feed into both sectoral supply and sectoral demand shocks. Sectoral demand shocks also incorporate lower external demand...

There is growing concern that the COVID-19 pandemic may have severe, adverse effects on the health care sector, a sector of the economy that historically has been somewhat shielded from the business cycle. In this paper, we study one aspect of this issue by estimating the magnitude of the...

We study the effects of the temporary federal paid sick leave mandate that became effective April 1st, 2020 on ‘social distancing,' as proxied by individuals' physical mobility behavior gleaned from cellular devices. The national paid leave policy was implemented in response to the COVID-19...

In SIR models, infection rates are typically exogenous, whereas individuals adjust their behavior in reality. City-level data across the globe suggest that mobility falls in response to fear, proxied by Google searches. Incorporating experimentally validated measures of social preferences at the...

Using real-time register data we document the magnitude, dynamics and socio-economic characteristics of the crisis-induced temporary and permanent layoffs in Norway. We find evidence that the effects of social distancing measures quickly spread to industries that were not directly affected by...