Tracking Public and Private Responses to the COVID-19 Epidemic: Evidence from State and Local Government Actions

This paper examines the determinants of social distancing during the COVID-19 epidemic. We classify state and local government actions, and we study multiple proxies for social distancing based on data from smart devices. Mobility fell substantially in all states, even ones that have not adopted major distancing mandates. There is little evidence, for example, that stay-at-home mandates induced distancing. In contrast, early and information-focused actions have had bigger effects. Event studies show that first case announcements, emergency declarations, and school closures reduced mobility by 1-5% after 5 days and 7-45% after 20 days. Between March 1 and April 11, average time spent at home grew from 9.1 hours to 13.9 hours. We find, for example, that without state emergency declarations, event study estimates imply that hours at home would have been 11.3 hours in April, suggesting that 55% of the growth comes from emergency declarations and 45% comes from secular (non-policy) trends. State and local government actions induced changes in mobility on top of a large response across all states to the prevailing knowledge of public health risks. Early state policies conveyed information about the epidemic, suggesting that even the policy response mainly operates through a voluntary channel.

Impacts of State Reopening Policy on Human Mobility

This study quantifies the effect of state reopening policies on daily mobility, travel, and mixing behavior during the COVID-19 pandemic. We harness cell device signal data to examine the effects of the timing and pace of reopening plans in different states. We quantify the increase in mobility patterns during the reopening phase by a broad range of cell-device-based metrics. Soon (four days) after reopening, we observe a 6% to 8% mobility increase. In addition, we find that temperature and precipitation are strongly associated with increased mobility across counties. The mobility measures that reflect visits to a greater variety of locations responds the most to reopening policies, while total time in vs. outside the house remains unchanged. The largest increases in mobility occur in states that were late adopters of closure measures, suggesting that closure policies may have represented more of a binding constraint in those states. Together, these four observations provide an assessment of the extent to which people in the U.S. are resuming movement and physical proximity as the COVID-19 pandemic continues.

Effects of Social Distancing Policy on Labor Market Outcomes

This paper examines the impact of the social distancing policies states adopted between March and April of 2020 in response to the COVID-19 epidemic. These actions, together with voluntary social distancing, appear to have reduced the rate of new COVID-19 cases and deaths, but raised concerns about the costs experienced by workers and businesses. Estimates from difference-in-difference models that leverage cross-state variation in the timing of business closures and stay-at-home mandates suggest that the employment rate fell by about 1.7 percentage points for every extra 10 days that a state experienced a stay-at-home mandate during the period March 12-April 12, 2020;select business closure laws were associated with similar employment effects. Our estimates imply that about 40% of the 12 percentage point decline in employment rates between January and April 2020 was due to a nationwide shock while about 60% was driven by state social distancing policies. The negative employment effects of state policies were larger for workers in "non-essential" industries, workers without a college degree, and early-career workers. Policy caused relatively modest changes in hours worked and earnings among those who remain employed. We find no concerning evidence of pre-trends in the monthly (low-frequency) CPS data, but use high-frequency data on work-related mobility measured from cellphones, job-loss-related internet searches, and initial unemployment claims to investigate the possibility that the large employment effects experienced in April could have occurred after the March CPS but but before policy adoption. In those analyses, we find pre-trends for some outcomes but not others. Thus we cannot fully rule out that some employment effects shortly predated the policies. As states relax business closures, ensuring gains in labor market activities in ways that continue to mitigate COVID-19 "surges" and public health risks will be key considerations to monitor.

Back to Business and (Re)employing Workers? Labor Market Activity During State COVID-19 Reopenings

In the early phases of the COVID-19 epidemic labor markets exhibited considerable churn, which we relate to three primary findings. First, reopening policies generated asymmetrically large increases in reemployment of those out of work, compared to modest decreases in job loss among those employed. Second, most people who were reemployed appear to have returned to their previous employers, but the rate of reemployment decreases with time since job loss. Lastly, the groups that had the highest unemployment rates in April also tended to have the lowest reemployment rates, potentially making churn harmful to people and groups with more and/or longer job losses. Taken together, these estimates suggest that employment relationships are durable in the short run, but raise concerns that employment gains requiring new employment matches may not be as rapid and may be particularly slow for hard-hit groups including Hispanic and Black workers, youngest and oldest workers, and women.

Impacts of state COVID-19 reopening policy on human mobility and mixing behavior.

This study quantifies the effect of the 2020 state COVID economic activity reopening policies on daily mobility and mixing behavior, adding to the economic literature on individual responses to public health policy that addresses public contagion risks. We harness cellular device signal data and the timing of reopening plans to provide an assessment of the extent to which human mobility and physical proximity in the United States respond to the reversal of state closure policies. We observe substantial increases in mixing activities, 13.56% at 4 days and 48.65% at 4 weeks, following reopening events. Echoing a theme from the literature on the 2020 closures, mobility outside the home increased on average prior to these state actions. Furthermore, the largest increases in mobility occurred in states that were early adopters of closure measures and hard-hit by the pandemic, suggesting that psychological fatigue is an important barrier to implementation of closure policies extending for prolonged periods of time.