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Effects of COVID-19 on school enrollment

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  • Chatterji, Pinka
  • Li, Yue

Abstract

We estimate effects of the COVID-19 pandemic on self-reported school enrollment using a sample of 16-to-18-year-old youth from the January 2010 to the December 2020 Current Population Survey (CPS). The pandemic reduced the likelihood of students reporting that they were enrolled in high school by about 1.8 percentage points in April 2020 vs. in the same month in prior years, although enrollment rebounded back to typical levels by October 2020. Adverse effects on school enrollment were magnified for older vs. younger students, males vs. females, and among adolescents without a college-educated household member vs. adolescents from more educated households. Greater school responsiveness to the pandemic and high school graduation exit exams appear to have protected students from disengaging from school.

Suggested Citation

  • Chatterji, Pinka & Li, Yue, 2021. "Effects of COVID-19 on school enrollment," Economics of Education Review, Elsevier, vol. 83(C).
  • Handle: RePEc:eee:ecoedu:v:83:y:2021:i:c:s0272775721000479
    DOI: 10.1016/j.econedurev.2021.102128
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    References listed on IDEAS

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    1. Congressional Budget Office, 2020. "The Distribution of Household Income, 2017," Reports 56575, Congressional Budget Office.
    2. Ahn, Kunwon & Lee, Jun Yeong & Winters, John V., 2020. "Employment Opportunities and High School Completion during the COVID-19 Recession," ISU General Staff Papers 202010190700001114, Iowa State University, Department of Economics.
    3. Alessio Fusco & Nizamul Islam, 2020. "Household Size and Poverty," Research on Economic Inequality, in: Inequality, Redistribution and Mobility, volume 28, pages 151-177, Emerald Group Publishing Limited.
    4. Del Boca, Daniela & Pronzato, Chiara & Sorrenti, Giuseppe, 2020. "Cash Transfer Programs and Household Labor Supply," CEPR Discussion Papers 14541, C.E.P.R. Discussion Papers.
    5. Olga Bilyk & Anson T. Y. Ho & Mikael Khan & Geneviève Vallée, 2020. "Household indebtedness risks in the wake of COVID‑19," Staff Analytical Notes 2020-8, Bank of Canada.
    6. ., 2020. "Hungary: the geopolitics of household utility bills," Chapters, in: Energy Cultures, chapter 4, pages 67-88, Edward Elgar Publishing.
    7. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, Oxford University Press, vol. 106(4), pages 979-1014.
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    Cited by:

    1. Alessandro Cascavilla & Rocco Caferra & Andrea Morone, 2023. "The green and the dark side of distance learning: from environmental quality to socioeconomic inequality," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 7(2), pages 33-38, December.
    2. Musaddiq, Tareena & Stange, Kevin & Bacher-Hicks, Andrew & Goodman, Joshua, 2022. "The Pandemic’s effect on demand for public schools, homeschooling, and private schools," Journal of Public Economics, Elsevier, vol. 212(C).
    3. Roy, Joydeep & Nguyen-Hoang, Phuong, 2022. "School enrollments during the COVID-19 pandemic: The case of New York," Economics Letters, Elsevier, vol. 219(C).
    4. Marín Llanes, Lucas & Rodríguez Pico, Mariana & Maldonado, Darío & García, Sandra, 2023. "Learning inequality during Covid-19: Evidence from secondary schools in Colombia," International Journal of Educational Development, Elsevier, vol. 100(C).
    5. Cascavilla, Alessandro & Caferra, Rocco & Morone, Andrea, 2021. "The green and the dark side of distance learning: from environmental quality to economic inequality," MPRA Paper 110702, University Library of Munich, Germany.

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