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School Closures and Effective In-Person Learning during COVID-19: When, Where, and for Whom

Author

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  • Kurmann, Andre

    (Drexel University)

  • Lalé, Etienne

    (York University, Canada)

Abstract

We match cell phone data to administrative school records and combine it with information on school learning modes to study effective in-person learning (EIPL) in the U.S. during the pandemic. We find large differences in EIPL for the 2020-21 school year. Public schools averaged less EIPL than private schools. Schools in more affluent localities and schools with a larger share of non-white students provided lower EIPL. Higher school spending and federal emergency funding is associated with lower EIPL. These results are explained in large part by regional differences, reflecting political preferences, vaccination rates, teacher unionization rates, and local labor conditions.

Suggested Citation

  • Kurmann, Andre & Lalé, Etienne, 2022. "School Closures and Effective In-Person Learning during COVID-19: When, Where, and for Whom," IZA Discussion Papers 14984, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp14984
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    References listed on IDEAS

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    1. 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).
    2. Nicola Fuchs-Schündeln & Dirk Krueger & André Kurmann & Etienne Lalé & Alexander Ludwig & Irina Popova, 2023. "The Fiscal and Welfare Effects of Policy Responses to the Covid-19 School Closures," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 35-98, March.
    3. Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf, 2021. "The Association of Opening K-12 Schools and Colleges with the Spread of Covid-19 in the United States: County-Level Panel Data Analysis," CESifo Working Paper Series 8929, CESifo.
    4. Zachary Parolin & Emma K. Lee, 2021. "Large socio-economic, geographic and demographic disparities exist in exposure to school closures," Nature Human Behaviour, Nature, vol. 5(4), pages 522-528, April.
    5. Youngsoo Jang & Minchul Yum, 2020. "Aggregate and Intergenerational Implications of School Closures: A Quantitative Assessment," CRC TR 224 Discussion Paper Series crctr224_2020_234v1, University of Bonn and University of Mannheim, Germany.
    6. Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf, 2021. "The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(42), pages 2103420118-, October.
    7. Thomas Dee & Elizabeth Huffaker & Cheryl Phillips & Eric Sagara, 2021. "The Revealed Preferences for School Reopening: Evidence from Public-School Disenrollment," NBER Working Papers 29156, National Bureau of Economic Research, Inc.
    8. Parolin, Zachary & Lee, Emma, 2020. "Large Socio-Economic, Geographic, and Demographic Disparities Exist in Exposure to School Closures and Distance Learning," OSF Preprints cr6gq, Center for Open Science.
    9. Dena Bravata & Jonathan H. Cantor & Neeraj Sood & Christopher M. Whaley, 2021. "Back to School: The Effect of School Visits During COVID-19 on COVID-19 Transmission," NBER Working Papers 28645, National Bureau of Economic Research, Inc.
    10. Jang, Youngsoo & Yum, Minchul, 2020. "Aggregate and Intergenerational Implications of School Closures: A Quantitative Assessment," MPRA Paper 107593, University Library of Munich, Germany.
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    Cited by:

    1. Nicola Fuchs-Schündeln & Dirk Krueger & André Kurmann & Etienne Lalé & Alexander Ludwig & Irina Popova, 2023. "The Fiscal and Welfare Effects of Policy Responses to the Covid-19 School Closures," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 35-98, March.
    2. Roy, Joydeep & Nguyen-Hoang, Phuong, 2022. "School enrollments during the COVID-19 pandemic: The case of New York," Economics Letters, Elsevier, vol. 219(C).
    3. Nicola Fuchs-Schündeln, 2022. "Covid-Induced School Closures in the US and Germany: Long-Term Distributional Effects," CESifo Working Paper Series 9698, CESifo.

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    More about this item

    Keywords

    COVID-19; school closures and reopenings; effective in-person learning; inequality;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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