JUE Insight: How much does COVID-19 increase with mobility? Evidence from New York and four other U.S. cities

Edward L. Glaeser; Caitlin Gorback; Stephen J. Redding

doi:10.1016/j.jue.2020.103292

JUE Insight: How much does COVID-19 increase with mobility? Evidence from New York and four other U.S. cities

Edward L. Glaeser, Caitlin Gorback, Stephen J. Redding

Research output: Contribution to journal › Article › peer-review

84 Scopus citations

Abstract

How effective are restrictions on mobility in limiting COVID-19 spread? Using zip code data across five U.S. cities, we estimate that total cases per capita decrease by 19% for every ten percentage point fall in mobility. Addressing endogeneity concerns, we instrument for travel by residential teleworkable and essential shares and find a 25% decline in cases per capita. Using panel data for NYC with week and zip code fixed effects, we estimate a decline of 30%. We find substantial spatial and temporal heterogeneity; east coast cities have stronger effects, with the largest for NYC in the pandemic's early stages.

Original language	English (US)
Article number	103292
Journal	Journal of Urban Economics
Volume	127
DOIs	https://doi.org/10.1016/j.jue.2020.103292
State	Published - Jan 2022

All Science Journal Classification (ASJC) codes

Economics and Econometrics
Urban Studies

Keywords

COVID-19
Contagion
Essential workers
Mobility
Public transportation
Telework

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10.1016/j.jue.2020.103292

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title = "JUE Insight: How much does COVID-19 increase with mobility? Evidence from New York and four other U.S. cities",

abstract = "How effective are restrictions on mobility in limiting COVID-19 spread? Using zip code data across five U.S. cities, we estimate that total cases per capita decrease by 19% for every ten percentage point fall in mobility. Addressing endogeneity concerns, we instrument for travel by residential teleworkable and essential shares and find a 25% decline in cases per capita. Using panel data for NYC with week and zip code fixed effects, we estimate a decline of 30%. We find substantial spatial and temporal heterogeneity; east coast cities have stronger effects, with the largest for NYC in the pandemic's early stages.",

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JUE Insight: How much does COVID-19 increase with mobility? Evidence from New York and four other U.S. cities

Abstract

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