IDEAS home Printed from https://ideas.repec.org/p/ris/drxlwp/2021_018.html

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

Author

Listed:
  • André Kurmann

    (Drexel University)

  • Etienne Lalé

    (Université du Québec à Montréal)

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

  • André Kurmann & Etienne Lalé, 2021. "School Closures and Effective In-Person Learning during COVID-19: When, Where, and for Whom," School of Economics Working Paper Series 2021-18, LeBow College of Business, Drexel University.
    • Handle: RePEc:ris:drxlwp:2021_018
    as

    Download full text from publisher

    File URL: https://drive.google.com/file/d/1nJ7Hpg0foWXHseScQ0S-W1Kh2knwaiP6/view?usp=sharing
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    More about this item

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:drxlwp:2021_018. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Richard C. Barnett (email available below). General contact details of provider: https://edirc.repec.org/data/dedreus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.