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Learning Loss and Student Dropouts during the COVID-19 Pandemic: A Review of the Evidence Two Years after Schools Shut Down

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  • Laura Moscoviz

    (Center for Global Development)

  • David K. Evans

    (Center for Global Development)

Abstract

Following the outbreak and spread of COVID-19 in 2020, schools around the world closed for significant periods of time. Many scholars provided projections of the likely impacts on educational outcomes, with potentially dire impacts on learning loss and—especially in low-income contexts–dropout rates. Now, two years after schools began shutting down, we identify 40 empirical studies directly estimating student learning loss (29 studies) or dropout rates (15 studies) for students in pre-primary, primary, or secondary school in countries at any income level. Most estimates of average learning loss are negative, although–especially in low- and middle-income countries–this is not always the case, and average losses are not as significant as some models predicted. Furthermore, learning loss was consistently much higher among students with lower socioeconomic status in high-, middle-, and low-income countries, even in contexts with little or no average learning loss. In other words, the pandemic consistently boosted learning inequality. Dropout rates ranged dramatically, from under 1 percent to more than 35 percent, with much higher rates for older students, suggesting that pandemic school closures–together with other pandemic-related shocks–may have curtailed many adolescents’ schooling careers. In some countries (e.g., Kenya and Nigeria), girls are at higher risk of dropping out. The vast majority of studies report results for students of primary school age (83 percent of studies), with fewer reporting results for students of secondary school age (45 percent) and even fewer studies (8 percent) for younger students.

Suggested Citation

  • Laura Moscoviz & David K. Evans, 2022. "Learning Loss and Student Dropouts during the COVID-19 Pandemic: A Review of the Evidence Two Years after Schools Shut Down," Working Papers 609, Center for Global Development.
  • Handle: RePEc:cgd:wpaper:609
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    Citations

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    Cited by:

    1. Yang, Liu & Zhang, Lei, 2024. "Online teaching, gender differences and education outcomes: Evidence from Chinese urban high schools during the COVID-19," Journal of Comparative Economics, Elsevier, vol. 52(2), pages 534-553.
    2. Guariso, Andrea & Björkman Nyqvist, Martina, 2023. "The impact of the COVID-19 pandemic on children’s learning and wellbeing: Evidence from India," Journal of Development Economics, Elsevier, vol. 164(C).
    3. Alejo, Anna & Jenkins, Robert & Reuge, Nicolas & Yao, Haogen, 2023. "Understanding and addressing the post-pandemic learning disparities," International Journal of Educational Development, Elsevier, vol. 102(C).
    4. Pollozhani, Fatos & McLeod, Robert S. & Schwarzbauer, Christian & Hopfe, Christina J., 2024. "Assessing school ventilation strategies from the perspective of health, environment, and energy," Applied Energy, Elsevier, vol. 353(PA).
    5. Singh, Abhijeet & Romero, Mauricio & Muralidharan, Karthik, 2024. "COVID-19 Learning loss and recovery," University of California at San Diego, Economics Working Paper Series qt3jj1b8hb, Department of Economics, UC San Diego.
    6. Kim, Seil & Ogawa, Keiichi, 2024. "Who is able or unable to return to school? Exploring the short-term impact of the COVID-19 school closures on students' returning to school in Nigeria," International Journal of Educational Development, Elsevier, vol. 108(C).
    7. Kalliyil, Muneer & Sahoo, Soham, 2024. "Does Restricting Access to Credit Affect Learning Outcomes? Evidence from a Regulatory Shock to Microfinance in India," IZA Discussion Papers 17404, Institute of Labor Economics (IZA).
    8. Evans, David K. & Mendez Acosta, Amina, 2023. "How to measure student absenteeism in low- and middle-income countries," Economics of Education Review, Elsevier, vol. 96(C).

    More about this item

    Keywords

    COVID-19; learning loss; review; dropout rates;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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