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Schooling in the Nordic countries during the COVID-19 pandemic

Author

Listed:
  • Hall, Caroline

    (IFAU - Institute for Evaluation of Labour Market and Education Policy)

  • Hardoy, Inés

    (Institutt for Samfunnsforskning)

  • Lundin, Martin

    (IFAU - Institute for Evaluation of Labour Market and Education Policy)

Abstract

This article provides an overview of the extent of school closures and the use of distance learning in the Nordic countries during the COVID-19 pandemic (March 2020 to June 2021). Taking the preparedness of the educational systems into consideration and combining several reports summarising student and teacher experiences with research on the causal impact of distance learning, we discuss expected and revealed effects on student outcomes in the short and long term. Survey evidence indicates that the Nordic education systems were relatively well-prepared for a transition to distance learning in terms of access to digital technology. Overall, Sweden stands out as having kept compulsory schools open to a greater extent than the other countries, while policies put in place at the upper secondary level were more similar across the region. The literature suggests that school closures can be expected to have long term negative effects on skill formation and future earnings and that the negative impacts are likely to be larger for more disadvantaged students and larger the younger the students are when exposed to remote instruction. Given the extent of school closures, students in compulsory schooling in Norway, Finland and Denmark seem particularly vulnerable as do disadvantaged groups of upper secondary school students in all of the countries, since they have been exposed to distance learning for the longest periods. The size of the long-term effects will eventually depend on the success of policies put in place to counteract the potential negative effects.

Suggested Citation

  • Hall, Caroline & Hardoy, Inés & Lundin, Martin, 2022. "Schooling in the Nordic countries during the COVID-19 pandemic," Working Paper Series 2022:13, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  • Handle: RePEc:hhs:ifauwp:2022_013
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    References listed on IDEAS

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    1. Michael Baker, 2013. "Industrial actions in schools: strikes and student achievement," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(3), pages 1014-1036, August.
    2. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    3. Eric P. Bettinger & Lindsay Fox & Susanna Loeb & Eric S. Taylor, 2017. "Virtual Classrooms: How Online College Courses Affect Student Success," American Economic Review, American Economic Association, vol. 107(9), pages 2855-2875, September.
    4. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    5. Simon Burgess & Ellen Greaves, 2013. "Test Scores, Subjective Assessment, and Stereotyping of Ethnic Minorities," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 535-576.
    6. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood," American Economic Review, American Economic Association, vol. 104(9), pages 2633-2679, September.
    7. Maya Escueta & Andre Joshua Nickow & Philip Oreopoulos & Vincent Quan, 2020. "Upgrading Education with Technology: Insights from Experimental Research," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 897-996, December.
    8. David J. Deming & Claudia Goldin & Lawrence F. Katz & Noam Yuchtman, 2015. "Can Online Learning Bend the Higher Education Cost Curve?," American Economic Review, American Economic Association, vol. 105(5), pages 496-501, May.
    9. Martin Browning & Eskil Heinesen, 2007. "Class Size, Teacher Hours and Educational Attainment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 415-438, June.
    10. Pedro Carneiro & Claire Crawford & Alissa Goodman, 2007. "The Impact of Early Cognitive and Non-Cognitive Skills on Later Outcomes," CEE Discussion Papers 0092, Centre for the Economics of Education, LSE.
    11. Thomas S. Dee & Brian A. Jacob, 2006. "Do High School Exit Exams Influence Educational Attainment or Labor Market Performance?," NBER Working Papers 12199, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    school closures; distance learning; COVID-19; student performance;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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