Evidence map›Paper›PMID 33106711›Full record

ArticleJournal of urban economics2022

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

Abstract read
In one paragraph

Article in Journal of urban economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

88 citing papers in PubMed.

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  7. COVID-19 pandemic and minority health disparities in New York City: A spatial and temporal perspective.Environment and planning. B, urban analytics and city science · 2023
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  15. Spatial networks and the spread of COVID-19: results and policy implications from Germany.Jahrbuch fur Regionalwissenschaftt = Review of regional research · 2023
    Article
  16. Article
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  18. Article
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28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Edward L GlaeserDepartment of Economics, Harvard University, and NBER, United States.
Caitlin GorbackNBER, United States.
Stephen J ReddingDepartment of Economics and PSPIA, Princeton University, CEPR, and NBER, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ContagionCOVID-19Essential workersMobilityPublic transportationTelework

Identifiers

PMID33106711
PMCPMC7577256

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.