Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
In response to COVID-19, most governments implemented either general or geographically targeted lockdowns. While the contractionary effects of general lockdowns have been well-documented, this paper is the first to contrast the economic impacts of the two approaches in a quasi-experimental setting. To this aim, we construct a high-frequency database combining unique information from mobile devices and administrative data across Italian municipalities. Using difference-in-differences approaches, our results confirm that general lockdowns considerably reduced mobility and employment, but we also find that localised measures only led to modest declines in mobility with minimal additional impact on employment. Focusing on the distributional consequences, we show that economic activity decreased less in wealthier communities with a higher capacity for telework. Moreover, short-time work schemes, serving as automatic stabilizers, predominantly benefited affluent areas. We conclude that an optimal policy mix involves targeted lockdown measures, complemented by adequate social policies and infrastructure investment.