COVID-19 school closures, learning losses and intergenerational mobility

Abstract The paper investigates the longer-term inequality implications of COVID-19 by examining the ability of children from different backgrounds to engage in continued learning throughout the pandemic, and their implications for intergenerational mobility in education. The analysis builds on data from the Global Database of Intergenerational Mobility, country-specific learning loss simulation models using weekly school closure information from February 2020 to February 2022, and high-frequency phone survey data collected by the World Bank during the pandemic to assess the incidence and type of continued learning during school closures across children from different backgrounds. Using this information, the paper simulates counterfactual educational attainment and corresponding absolute and relative intergenerational educational mobility measures to estimate COVID-19 impacts. The results suggest that the extensive school closures are likely to have a significant impact on both absolute and relative mobility in the absence of remedial measures – in upper-middle-income countries, the share of children with more years of education than their parents could decline by 8 percentage points. Unequal access to continued learning across children from different socioeconomic backgrounds also leads to a significant decline in relative mobility. Notably, adopting more optimistic assumptions about the effectiveness of alternative learning modalities makes the simulated decline in relative mobility even larger.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-03-21
DOI
https://doi.org/10.1057/s41599-026-06967-w
Primary Topic
Intergenerational and Educational Inequality Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

COVID-19 school closures, learning losses and intergenerational mobility

Alexandru Cojocaru, Ambar Narayan, Veronica Montalva Talledo, Joao Pedro Azevedo
Humanities and Social Sciences Communications
Intergenerational and Educational Inequality Studies
article

COVID-19 school closures, learning losses and intergenerational mobility

Alexandru Cojocaru, Ambar Narayan, Veronica Montalva Talledo, Joao Pedro Azevedo
article en

Abstract

Abstract The paper investigates the longer-term inequality implications of COVID-19 by examining the ability of children from different backgrounds to engage in continued learning throughout the pandemic, and their implications for intergenerational mobility in education. The analysis builds on data from the Global Database of Intergenerational Mobility, country-specific learning loss simulation models using weekly school closure information from February 2020 to February 2022, and high-frequency phone survey data collected by the World Bank during the pandemic to assess the incidence and type of continued learning during school closures across children from different backgrounds. Using this information, the paper simulates counterfactual educational attainment and corresponding absolute and relative intergenerational educational mobility measures to estimate COVID-19 impacts. The results suggest that the extensive school closures are likely to have a significant impact on both absolute and relative mobility in the absence of remedial measures – in upper-middle-income countries, the share of children with more years of education than their parents could decline by 8 percentage points. Unequal access to continued learning across children from different socioeconomic backgrounds also leads to a significant decline in relative mobility. Notably, adopting more optimistic assumptions about the effectiveness of alternative learning modalities makes the simulated decline in relative mobility even larger.

Humanities and Social Sciences Communications
United Nations Children's Fund (US), World Bank (US)
No poverty
Openalex Percentile: Top 18%
Intergenerational and Educational Inequality Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.