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Learning Loss Due to School Closures During the COVID-19 Pandemic
Open accessAbstract
Suspension of face-to-face instruction in schools during the COVID-19 pandemic has led to concerns about consequences for student learning. So far, data to study this question have been limited. Here we evaluate the effect of school closures on primary school performance using exceptionally rich data from the Netherlands (n≈350,000). We use the fact that national exams took place before and after lockdown, and compare progress during this period to the same period in the three previous years. The Netherlands underwent only a relatively short lockdown (8 weeks), and features an equitable system of school funding and the world's highest rate of broadband access. Still, our results reveal a learning loss of about 3 percentile points or 0.08 standard deviations. The effect is equivalent to a fifth of a school year, the same period that schools remained closed. Losses are up to 60% larger among students from less-educated homes, confirming worries about the uneven toll of the pandemic on children and families. Investigating mechanisms, we find that most of the effect reflects the cumulative impact of knowledge learned rather than transitory influences on the day of testing. Results remain robust when balancing on the estimated propensity of treatment and using maximum entropy weights, or with fixed-effects specifications that compare students within the same school and family. The findings imply that students made little or no progress whilst learning from home, and suggest losses even larger in countries with weaker infrastructure or longer school closures.
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“Second, children from families with a low socioeconomic status (SES) were more affected than children from families with a high SES were (Maldonado and De Witte, 2020; Engzell et al., 2021).”
From Effects of COVID-19-Related School Closures on Student Achievement-A Systematic Review (2021) · cites this paper as Engzell et al., 2021
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Rotation-based schedules in elementary schools to prevent COVID-19 spread: a simulation study
Brom, C., Diviák, T., Drbohlav, J., Korbel, V., Levı́nský, R., Neruda, R., Kadlecová, G., Šlerka, J., Šmíd, M., Trnka, J., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-45788-8 · Cited by 3
Metadata
- Authors
- Engzell, P., Frey, A., & Verhagen, M. D.
- Affiliations
- Stockholm University (SE)
- University of Oxford (GB)
- Corresponding author
- Engzell, Per
- Frey, Arun
- Verhagen, Mark D.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- Center for Open Science
- Published
- 2020-10-29
- Volume
- 118
- Issue
- 17
- ISSN
- 0027-8424 (ISSN-L)
- PMC
- PMC8092566
- OpenAlex
- W3143968054
- Cited by
- 1,739
- References
- 82
- Citations by year
- 2026: 110 · 2025: 170 · 2024: 293 · 2023: 463 · 2022: 464 · 2021: 235 · 2020: 3
- FWCI
- 639.03
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- SocArXiv (OSF Preprints) (submittedVersion, cc-by-nc-nd)
- SocArXiv (OSF Preprints) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
- Funders
- Leverhulme Trust
- University of Oxford
- Vetenskapsrådet (2016-07099)
- Forskningsrådet om Hälsa, Arbetsliv och Välfärd (2016-07099)
- Organisation de Coopération et de Développement Économiques
- Economic and Social Research Council
- Topics
- Social Sciences › Education › Education during COVID-19 pandemic
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
- Keywords
- learning loss, school closures, COVID-19 pandemic, lockdown, national examinations, academic performance, home background, parental education, home-based learning, educational inequality
- MeSH terms
- COVID-19, SARS-CoV-2, Child, Female, Humans, Learning, Male, Netherlands, Quarantine, Schools, Pandemics
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