Evidence map›Paper›PMID 37351336›Full record

ArticleChina economic review2023

Assessing inequality in the school closure response to COVID-19.

Xiqian Cai, Jingcheng Fu, Mengna Luan, Xiangming Tang

Abstract read
In one paragraph

Article in China economic review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Xiqian CaiWang Yanan Institute for Studies in Economics and School of Economics, Xiamen University, China.
Jingcheng FuResidential College 4, National University of Singapore, Singapore.
Mengna LuanResearch Institute of Economics and Management, Southwestern University of Finance and Economics, China.
Xiangming TangEducation Bureau of Quanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of coronavirus disease 2019 (COVID-19) has caused school closures in most countries, affecting over 90% of the world's student population. School closures can widen learning inequalities and disproportionately hurt vulnerable students. We collected data on the exam scores of university applicants in China before and after a two-month period of school closure. We observe that students from rural, lower-income households are more negatively affected by school closures compared to their urban, higher-income counterparts. The inequality effect remains sizable in the admission exam three months after schools reopen. To strengthen the causal interpretation of the results, we investigate the scores in the previous graduating cohorts who did not experience school closure, and find no evidence of the change in scores over the same calendar period. Our study points to the urgent need to address the educational inequality caused by school closures.

Indexed as

COVID-19EducationInequalitySchool closures

Identifiers

PMID37351336
PMCPMC10259167

What OpenQuestion holds

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Registered trials

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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.