Working Paper: CEPR ID: DP14788
Authors: Ferdinando Monte
Abstract: This short note constructs Mobility Zones to facilitate the discussion on the geographic extent of individual mobility restrictions to control the spread of Covid-19. Mobility Zones are disjoint sets of counties where a given level of individual mobility directly or indirectly connects all counties within each set. I compute Mobility Zones for the United States and each state using smartphone-based mobility data between counties. The average area and population of Mobility Zones have slightly grown at the onset of the epidemic and have sharply shrunk afterward. Pre-Covid-19 Mobility Zones may be useful in calibrating quantitative studies of targeted restriction policies, or for policymakers deciding on the adoption of specific mobility measures. Two examples suggest the use of Mobility Zones to inform within-state differences and cross-state coordination in mobility restriction policies.
Keywords: individual mobility; smartphone data; covid19; mobility restrictions
JEL Codes: R1; H1
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| MZs (C30) | changes in mobility patterns (J62) |
| mobility restrictions (J62) | individual behavior (D01) |
| pre-COVID-19 MZs (N13) | targeted lockdown policies (J18) |
| MZs (C30) | effectiveness of policy measures (F68) |