We develop a heterogeneous-agents network-based model to analyze alternative policies
during a pandemic outbreak, accounting for health and economic trade-offs within the same
empirical framework. We leverage a variety of data sources, including data on individuals'
mobility and encounters across metropolitan areas, health records, and measures of the
possibility to be productively working from home. This combination of data sources allows us
to build a framework in which the severity of a disease outbreak varies across locations and …