Evidence map›Paper›PMID 37284654›Full record

ArticleEconomics of education review2023

School closures and effective in-person learning during COVID-19.

André Kurmann, Etienne Lalé

Open access · hybridAbstract read
In one paragraph

Article in Economics of education review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Observational
  2. Article
  3. 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 2 institutions in 2 countries.

André KurmannDrexel University, LeBow College of Business, School of Economics, 3220 Market Street, Philadelphia, PA 19104, United States of America.
Etienne LaléUniversité du Québec à Montréal, Department of Economics, C.P. 8888, Succ. centre ville, Montréal (QC), H3C 3P8, Canada.
Drexel University · USUniversité du Québec à Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 funding per student. These results are in large part accounted for by systematic regional differences, in particular political preferences.

Indexed as

COVID-19Effective in-person learningInequalitySchool closures and reopenings

Identifiers

PMID37284654
PMCPMC10234336
OpenAlexW4378977264

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.