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Who Lost the Most? Mathematics Achievement during the COVID-19 Pandemic

Author

Listed:
  • Contini Dalit
  • Di Tommaso Maria Laura
  • Muratori Caterina

    (University of Torino, Torino, Italy)

  • Piazzalunga Daniela
  • Schiavon Lucia

    (CHILD – Collegio Carlo Alberto, Torino, Italy)

Abstract

This article estimates the effect of school closures in the spring of 2020 on the math skills of primary school children in Italy, which was the first Western country hit by the COVID-19 pandemic, responding with a strict lockdown and total school closures through the end of the school year. Leveraging unique longitudinal data collected in the province of Torino, a large metropolitan area in northern Italy, we analyse the learning outcomes of two adjacent cohorts of pupils, the pre-Covid and the Covid cohort. The pandemic had a large mean negative impact on pupils’ performance in mathematics (−0.19 standard deviations). Learning loss was greater for girls and for high-achieving children of low-educated parents. Net of individual characteristics, the impact was harshest in schools with a disadvantaged social composition.

Suggested Citation

  • Contini Dalit & Di Tommaso Maria Laura & Muratori Caterina & Piazzalunga Daniela & Schiavon Lucia, 2022. "Who Lost the Most? Mathematics Achievement during the COVID-19 Pandemic," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 22(2), pages 399-408, April.
    • Handle: RePEc:bpj:bejeap:v:22:y:2022:i:2:p:399-408:n:4
    DOI: 10.1515/bejeap-2021-0447
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    References listed on IDEAS

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    1. Maria Laura Di Tommaso & Dalit Contini & Dalila De Rosa & Francesca Ferrara & Daniela Piazzalunga & Ornella Robutti, 2021. "Tackling the gender gap in mathematics with active learning methodologies," Carlo Alberto Notebooks 657, Collegio Carlo Alberto.
    2. Contini, Dalit & Cugnata, Federica, 2020. "Does Early Tracking Affect Learning Inequalities? Revisiting Difference-in-difference Modeling Strategies with International Assessments," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202018, University of Turin.
    3. Contini, Dalit & Tommaso, Maria Laura Di & Mendolia, Silvia, 2017. "The gender gap in mathematics achievement: Evidence from Italian data," Economics of Education Review, Elsevier, vol. 58(C), pages 32-42.
    4. Agostinelli, Francesco & Doepke, Matthias & Sorrenti, Giuseppe & Zilibotti, Fabrizio, 2022. "When the great equalizer shuts down: Schools, peers, and parents in pandemic times," Journal of Public Economics, Elsevier, vol. 206(C).
    5. Barbieri, Gianna & Rossetti, Claudio & Sestito, Paolo, 2011. "The determinants of teacher mobility: Evidence using Italian teachers’ transfer applications," Economics of Education Review, Elsevier, vol. 30(6), pages 1430-1444.
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    Cited by:

    1. Lattanzio, Salvatore, 2024. "Schools and the transmission of Sars-Cov-2: Evidence from Italy," Economics & Human Biology, Elsevier, vol. 52(C).
    2. Alderighi, Lorenzo & Ballatore, Rosario M. & Tonello, Marco, 2023. "Hidden drop-out: Secondary education (unseen) failure in pandemic times," GLO Discussion Paper Series 1293, Global Labor Organization (GLO).
    3. Léonard Moulin & Mara Soncin, 2023. "Persistent and Gender-Unequal Impacts of the COVID-19 Pandemic on Student Outcomes in Italy," Working Papers 277, French Institute for Demographic Studies.
    4. Mustafa Uğraş & Erdal Zengin & Stamatis Papadakis & Michail Kalogiannakis, 2023. "Early Childhood Learning Losses during COVID-19: Systematic Review," Sustainability, MDPI, vol. 15(7), pages 1-29, April.
    5. ASAKAWA Shinsuke & OHTAKE Fumio & SANO Shinpei, 2023. "The Impact of the COVID-19 Pandemic on the Academic Achievement of Elementary and Junior High School Students: Analysis using administrative data from Amagasaki City," Discussion papers 23066, Research Institute of Economy, Trade and Industry (RIETI).
    6. Bastian A. Betthäuser & Anders M. Bach-Mortensen & Per Engzell, 2023. "A systematic review and meta-analysis of the evidence on learning during the COVID-19 pandemic," Nature Human Behaviour, Nature, vol. 7(3), pages 375-385, March.

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    More about this item

    Keywords

    COVID-19; school closure; learning loss; mathematics; inequality;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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