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we take away the 5 most populous counties in every state from the pattern. In the second test, we match counties that lie close to state borders to counties in several states that are also close to state borders and are within 100 miles of that county. Absent policy variations, these nearby counties ought to see related trends in virus transmission; making them good controls. We continue to find that stay-at-home, mandatory masks, beach and park closures, restaurant closures, and high danger business closures all predict declines in future fatality development. I study the relationship between masks utilization and COVID-19 deaths on the county level. When analyzing this relationship, even the course caused by the potential endogeneity bias is unclear. In one course, characteristics which might be identified to correlate with a larger quantity of potential COVID-19 deaths, corresponding to an older population, could make individuals extra prone to wear masks. This will trigger a bias that makes mask utilization look less efficient than it really is. In the opposite direction, areas with greater danger tolerances may have much less masks utilization, but might on the identical time be engaging in other conduct that puts them at higher threat for contracting COVID-19. This will cause a bias that makes mask utilization look more practical than it actually is. The identification strategy exploits a big set of controls and employs share of vote for Donald Trump in the 2016 election as an instrumental

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