Evidence map›Paper›PMID 33191960›Full record

ArticleJournal of urban economics2022

JUE Insight: Were urban cowboys enough to control COVID-19? Local shelter-in-place orders and coronavirus case growth.

Dhaval Dave, Andrew Friedson, Kyutaro Matsuzawa, Joseph J Sabia, Samuel Safford

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 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Policy evaluation during a pandemic.Journal of econometrics · 2023
    Article
  4. Article
  5. Article
  6. Homelessness, Politics, and Policy: Predicting Spatial Variation in COVID-19 Cases and Deaths.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. High-Speed railways and the spread of Covid-19.Travel behaviour & society · 2023
    Article
  11. Article
  12. Article
  13. Cities in a pandemic: Evidence from China.Journal of regional science · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

5 authors.

Dhaval DaveBentley University, IZA & NBER, Center for Health Economics & Policy Studies USA.
Andrew FriedsonUniversity of Colorado Denver, Center for Health Economics & Policy Studies USA.
Kyutaro MatsuzawaSan Diego State University, Center for Health Economics & Policy Studies USA.
Joseph J SabiaSan Diego State University & IZA, Center for Health Economics & Policy Studies USA.
Samuel SaffordSan Diego State University, Center for Health Economics & Policy Studies USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most common policy prescriptions to reduce the spread of COVID-19 has been to legally enforce social distancing through shelter-in-place orders (SIPOs). This study examines the role of localized urban SIPO policy in curbing COVID-19 cases. Specifically, we explore (i) the comparative effectiveness of county-level SIPOs in urbanized as compared to non-urbanized areas, (ii) the mechanisms through which SIPO adoption in urban counties yields COVID-related health benefits, and (iii) whether late adoption of a statewide SIPO yields health benefits beyond those achieved from early adopting counties. We exploit the unique laboratory of Texas, a state in which the early adoption of local SIPOs by densely populated counties covered almost two-thirds of the state's population prior to adoption of a statewide SIPO on April 2, 2020. Using an event study framework, we document that countywide SIPO adoption is associated with an 8 percent increase in the percent of residents who remain at home full-time and between a 13 to 19 percent decrease in foot-traffic at venues that may contribute to the spread of COVID-19 such as restaurants, bars, hotels, and entertainment venues. These social distancing effects are largest in urbanized and densely populated counties. Then, we find that in early adopting urban counties, COVID-19 case growth fell by 21 to 26 percentage points two-and-a-half weeks following adoption of a SIPO, a result robust to controls for county-level heterogeneity in COVID-19 outbreak timing, coronavirus testing, the age distribution, and political preferences. We find that approximately 90 percent of the curbed growth in COVID-19 cases in Texas came from the early adoption of SIPOs by urbanized counties, suggesting that the later statewide shelter-in-place mandate yielded relatively few health benefits.

Indexed as

CoronavirusCOVID-19Population densityShelter-in-place ordersUrbanicity

Identifiers

PMID33191960
PMCPMC7647451

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.