Data and Code for: Sectoral Effects of Social Distancing

The outbreak of the Covid-19 virus has led many states to take drastic measures of social distancing. Using US executive order, occupation and survey data, we measure the fall in labor supply due to these measure. Starting from a model of production networks, we analyze the sectoral effects of these labor shocks for the United States. We find that non-linearities in the production network account for around half of the drop in GDP associated to the implementation of social distancing measures. The model also generates realistic dispersion in sectoral output change. We provide here the replication package to construct the fall in labor supply, the figures and tables of the paper, and, to solve our model of production network.<br>