Claims

Within-family fixed-effects analysis estimates the learning-loss gap between educational backgrounds at 60%

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person · recheck by 2026: baselines and conditions change

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i? Adjusting for time-invariant confounding at the school and family level, social inequalities in learning loss grow, with the largest gap between educational backgrounds found in the within-family analysis, estimated at 60%. → Engzell P. 2021

Evidence

Engzell P. 2021

Engzell P., Frey A., Verhagen M. D. (2021). Learning loss due to school closures during the COVID-19 pandemic. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.2022376118

q3 · i? · causal · r2

Robustness analysis addressing loss to follow-up using fixed-effects models comparing students within the same schools and families. The article reports that "the largest gap in effect sizes between educational backgrounds is found in our within-family analysis, estimated at 60%".

"The largest gap in effect sizes between educational backgrounds is found in our within-family analysis, estimated at 60% (parental education: high, −3.25; low, −4.67; lowest, −5.20)."

Discussion

Page metadata
Field Value
type claim
id within-family-learning-loss-gap-60-percent
title Within-family fixed-effects analysis estimates the learning-loss gap between educational backgrounds at 60%
description Within-family fixed-effects analysis estimates the learning-loss gap between educational backgrounds at 60%
status review
evidence_strength moderate
newest_evidence 2021
recheck_by 2026
generated by process:wiki-ingest on 2026-10-15
trust unverified — no one has confirmed this page's content
sources 1 — engzell-p-2021

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