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Published, Version of Record (VoR)Open Access (License Unspecified), Open
Journal article
School closures and effective in-person learning during COVID-19
Economics of education review, v 95
06 Jun 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We document large temporal and geographical discrepancies among prominent trackers that measure in-person, hybrid, and remote schooling in the U.S. during COVID-19. We then propose a new measure of effective in-person learning (EIPL) that combines information on schooling modes with cell phone data on school visits and estimate it for a large, representative sample of U.S. public and private schools. The EIPL measure, which we make publicly available, resolves the discrepancies across trackers and is more suitable for many quantitative questions. Consistent with other studies, we find that a school’s share of non-white students and pre-pandemic grades and size are associated with less in-person learning during the 2020-21 school year. Notably, we also find that EIPL was lower for schools in more affluent and educated localities with higher pre-pandemic spending and more emergency fundingm per student. These results are in large part accounted for by systematic regional differences, in particular political preferences.
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Details
- Title
- School closures and effective in-person learning during COVID-19
- Creators
- André Kurmann - Drexel UniversityEtienne Lalé - Université du Québec à Montréal
- Publication Details
- Economics of education review, v 95
- Publisher
- Elsevier
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Economics (School of Economics)
- Web of Science ID
- WOS:001021222100001
- Scopus ID
- 2-s2.0-85161325672
- Other Identifier
- 991020574174704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Economics
- Education & Educational Research