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Spatial Variations in the Impact of Covid-19 on the Educational Gender Gap in English Secondary Schools

Author

Listed:
  • Bruna Campisano
  • Giuseppe Migali
  • Steve Bradley

Abstract

We investigate the effects of Covid-19 on spatial variations in gender differences in educational attainment in English secondary schools. Spatial variations in various measures of Covid-19 incidence rates at the Travel-to-Work-Areas are explored. Since all parts of the UK were affected by Covid-19, spatial variations in Covid-19 are regarded as variations in the ’dose’ of the virus - the higher the dose the greater the impact. Employing a Difference-in-Differences (DiD) framework with fixed effects for year, school and TTWA, and controlling for selection effects, we estimate the causal effect on the gender gap in high school test scores at age 16. We find that, when comparing schools in TTWAs in the treatment to their counterparts in the control group, there is a statistically significant and positive effect on the educational gender gap in favor of females of between 0.3 and 0.6 points. Girls at the upper end of the attainment distribution achieved much better scores. Robustness checks show that school composition and area effects are important. We explore the implications for education policy.

Suggested Citation

  • Bruna Campisano & Giuseppe Migali & Steve Bradley, 2024. "Spatial Variations in the Impact of Covid-19 on the Educational Gender Gap in English Secondary Schools," Working Papers 415678839, Lancaster University Management School, Economics Department.
  • Handle: RePEc:lan:wpaper:415678839
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    File URL: http://www.lancaster.ac.uk/media/lancaster-university/content-assets/documents/lums/economics/working-papers/LancasterWP2024_007.pdf
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    References listed on IDEAS

    as
    1. Andrés Rodríguez‐Pose & Chiara Burlina, 2021. "Institutions and the uneven geography of the first wave of the COVID‐19 pandemic," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 728-752, September.
    2. Leonora Risse, 2023. "The Economic Impacts of the COVID‐19 Pandemic in Australia: A Closer Look at Gender Gaps in Employment, Earnings and Education," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 56(1), pages 91-108, March.
    3. Lewis, Maureen & Lockheed, Marlaine, 2008. "Social exclusion and the gender gap in education," Policy Research Working Paper Series 4562, The World Bank.
    4. Esteban Aucejo, 2013. "Explaining Cross-Racial Differences in the Educational Gender Gap," CEP Discussion Papers dp1220, Centre for Economic Performance, LSE.
    5. Riphahn & Caroline Schwientek, 2015. "What drives the reversal of the gender education gap? Evidence from Germany," Applied Economics, Taylor & Francis Journals, vol. 47(53), pages 5748-5775, November.
    6. Keol Lim & Yeong Ok Nam & Sanghyeon Eom & Yoonho Jang & Donjeong Kim & Mi Hwa Kim, 2020. "Structural Gender Differences in LMS Use Patterns among College Students," Sustainability, MDPI, vol. 12(11), pages 1-9, June.
    7. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
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    More about this item

    Keywords

    Covid-19; Educational Gender Gap; School Performance;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I19 - Health, Education, and Welfare - - Health - - - Other

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