Cited by 32School Choice and PerformanceGlobal Educational Policies and ReformsEconomic Growth and Productivity

The learning gain over one school year among 15-year-olds: An international comparison based on PISA

Open access
Avvisati, Francesco, Givord, Pauline·2023·Labour Economics

Integrity signals

Registry

Crossref · 10.1016/j.labeco.2023.102365

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Claims other papers make about this one

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  • On average across around 70 countries, students lost the equivalent of more than 7 months of learning.

    “Considering that one year of learning is equivalent to roughly 20 points on the PISA scale26, this means that on average across around 70 countries students lost an equivalent of more than 7 months of learning.”

Cites

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2 of the 31 references couldn’t be matched to a known paper.

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Authors
Avvisati, F., & Givord, P.
Affiliations
  • Organisation de Coopération et de Développement Economiques (FR)
  • Institut National de la Statistique et des Etudes Economiques (FR)
Venue
Labour Economics
Publisher
Elsevier BV
Published
2023-10
Volume
84
Pages
102365
ISSN
0927-5371 (ISSN-L)
OpenAlex
W4285064746
Cited by
32
References
31
Citations by year
2026: 6 · 2025: 15 · 2024: 8 · 2023: 3
FWCI
14.29
Type
journal article
Language
en
Open access
Locations
  • Labour Economics (acceptedVersion)
  • HAL (submittedVersion, cc-by-nc-nd)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
Agence Nationale de la Recherche (ANR-21-ESRE-0034)
Topics
  • Social Sciences › Education › School Choice and Performance
  • Social Sciences › Political Science and International Relations › Global Educational Policies and Reforms
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
Keywords
learning gains, academic performance, 15-year-old students, PISA, cross-national comparison, academic year, educational attainment

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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