NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH
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Martin Andersen

Department of Economics
University of North Carolina at Greensboro
Bryan, Room 448
Greensboro, NC 27402
Tel: 646-271-5474

E-Mail: EmailAddress: hidden: you can email any NBER-related person as first underscore last at nber dot org
Institutional Affiliation: UNC Greensboro

NBER Working Papers and Publications

May 2020Impacts of State Reopening Policy on Human Mobility
with Thuy D. Nguyen, Sumedha Gupta, Ana Bento, Kosali I. Simon, Coady Wing: w27235
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 stat...
Effect of a Federal Paid Sick Leave Mandate on Working and Staying at Home During the COVID-19 Pandemic: Evidence from Cellular Device Data
with Johanna Catherine Maclean, Michael F. Pesko, Kosali I. Simon: w27138
We study the effects of the temporary federal paid sick leave mandate that became effective April 1st, 2020 on ‘social distancing,’ as proxied by individuals’ physical mobility behavior gleaned from cellular devices. The national paid leave policy was implemented in response to the COVID-19 outbreak and provided many private and public workers with up to two weeks of paid leave for own or family illness or dependent care. We study the impact of this policy using difference-in-differences methods leveraging pre-FFCRA county-level differences in the share of workers likely eligible for FFCRA benefits. We find that FFCRA increased the average number of hours at home, and reduced the share of the individuals likely at work. In particular, comparing the county with the lowest to highest FFCRA e...
 
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