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Inequalities in student learning and screen time due to COVID-19: Evidence from Japan

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  • Nishihata, Masaya
  • Kobayashi, Yohei

Abstract

We examine the impact of COVID-19-related school closures on student learning and screen time. We find that between January 2020 (pre-COVID-19) and May 2020, as the length of a COVID-19-related school closure increased, there was a decrease in learning time and an increase in screen time. These adverse effects tend to be more pronounced for students in low-income households, low academic achievers, and elementary school students living in single-parent households. Moreover, these adverse effects might have persisted until January 2021 for elementary school students in single-parent households. On average, while live online classes might mitigate the effects of decreased learning time for junior high school students, that effect is not found for low academic achievers.

Suggested Citation

  • Nishihata, Masaya & Kobayashi, Yohei, 2024. "Inequalities in student learning and screen time due to COVID-19: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 71(C).
  • Handle: RePEc:eee:jjieco:v:71:y:2024:i:c:s088915832300059x
    DOI: 10.1016/j.jjie.2023.101304
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    1. Yoav Benjamini & Abba M. Krieger & Daniel Yekutieli, 2006. "Adaptive linear step-up procedures that control the false discovery rate," Biometrika, Biometrika Trust, vol. 93(3), pages 491-507, September.
    2. Michael Baker, 2013. "Industrial actions in schools: strikes and student achievement," Canadian Journal of Economics, Canadian Economics Association, vol. 46(3), pages 1014-1036, August.
    3. David Jaume & Alexander Willén, 2019. "The Long-Run Effects of Teacher Strikes: Evidence from Argentina," Journal of Labor Economics, University of Chicago Press, vol. 37(4), pages 1097-1139.
    4. Jörn-Steffen Pischke, 2007. "The Impact of Length of the School Year on Student Performance and Earnings: Evidence From the German Short School Years," Economic Journal, Royal Economic Society, vol. 117(523), pages 1216-1242, October.
    5. Kono, Hisaki & Sawada, Yasuyuki & Shonchoy, Abu S., 2016. "DVD-based distance-learning program for university entrance exams -- RCT experiments in rural Bangladesh," IDE Discussion Papers 580, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    6. Kawaguchi, Daiji, 2016. "Fewer school days, more inequality," Journal of the Japanese and International Economies, Elsevier, vol. 39(C), pages 35-52.
    7. Masato Ikeda & Shintaro Yamaguchi, 2021. "Online learning during school closure due to COVID-19," The Japanese Economic Review, Springer, vol. 72(3), pages 471-507, July.
    8. Grewenig, Elisabeth & Lergetporer, Philipp & Werner, Katharina & Woessmann, Ludger & Zierow, Larissa, 2021. "COVID-19 and educational inequality: How school closures affect low- and high-achieving students," European Economic Review, Elsevier, vol. 140(C).
    9. ASAKAWA Shinsuke & OHTAKE Fumio, 2022. "Impact of COVID-19 School Closures on the Cognitive and Non-cognitive Skills of Elementary School Students," Discussion papers 22075, Research Institute of Economy, Trade and Industry (RIETI).
    10. Bacher-Hicks, Andrew & Goodman, Joshua & Mulhern, Christine, 2021. "Inequality in household adaptation to schooling shocks: Covid-induced online learning engagement in real time," Journal of Public Economics, Elsevier, vol. 193(C).
    11. 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.
    12. Alison Andrew & Sarah Cattan & Monica Costa Dias & Christine Farquharson & Lucy Kraftman & Sonya Krutikova & Angus Phimister & Almudena Sevilla, 2020. "Inequalities in Children's Experiences of Home Learning during the COVID‐19 Lockdown in England," Fiscal Studies, John Wiley & Sons, vol. 41(3), pages 653-683, September.
    13. M Paula Cacault & Christian Hildebrand & Jérémy Laurent-Lucchetti & Michele Pellizzari, 2021. "Distance Learning in Higher Education: Evidence from a Randomized Experiment [A Randomized Assessment of Online Learning]," Journal of the European Economic Association, European Economic Association, vol. 19(4), pages 2322-2372.
    14. Aucejo, Esteban M. & French, Jacob & Ugalde Araya, Maria Paola & Zafar, Basit, 2020. "The impact of COVID-19 on student experiences and expectations: Evidence from a survey," Journal of Public Economics, Elsevier, vol. 191(C).
    15. Marcotte, Dave E., 2007. "Schooling and test scores: A mother-natural experiment," Economics of Education Review, Elsevier, vol. 26(5), pages 629-640, October.
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    More about this item

    Keywords

    COVID-19; Educational inequalities; Learning time; Screen time;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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