Evidence map›Paper›PMID 36466082›Full record

ArticleEuropean economic review2023

Macroeconomic consequences of stay-at-home policies during the COVID-19 pandemic.

Neha Bairoliya, Ayşe İmrohoroğlu

Open access · greenAbstract read
In one paragraph

Article in European economic review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.7field-weighted citation impact, top 3% of its field
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

5 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Externality and COVID-19.Southern economic journal · 2021
    Article
  4. Self-isolation.Journal of mathematical economics · 2021
    Article
  5. 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

2 authors at 1 institution in 1 country.

Neha BairoliyaDepartment of Finance and Business Economics, University of Southern California, Los Angeles, CA 90089-1422, United States of America.
Ayşe İmrohoroğluDepartment of Finance and Business Economics, University of Southern California, Los Angeles, CA 90089-1422, United States of America.
University of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risks related to the coronavirus infection differ significantly across the age and the health status of individuals which suggest lockdowns targeting the unhealthy could reduce the fatalities due to the pandemic. In addition, labor productivities differ significantly across these groups, which suggest the economic consequences of targeted lockdowns could be quite different. Using an overlapping generations model with rich heterogeneity, we show that a targeted lockdown policy based on preexisting health status would have reduced the economic severity of the pandemic by 43% compared to a random lockdown. A simple system where government transfers are paid to those who stay home, financed by lump-sum taxes, could have achieved results similar to this health based lockdown.

Indexed as

COVID-19MitigationOLGRedistributionWelfare

Identifiers

PMID36466082
PMCPMC9672847
OpenAlexW4297538166

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.