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Schools opening and Covid-19 diffusion: Evidence from geolocalized microdata

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  • Amodio, Emanuele
  • Battisti, Michele
  • Kourtellos, Andros
  • Maggio, Giuseppe
  • Maida, Carmelo Massimo

Abstract

Are schools triggering the diffusion of the Covid-19? This question is at the core of an extensive debate about the social and long-run costs of stopping the economic activity and human capital accumulation from reducing the contagion. In principle, many confounding factors, such as climate, health system treatment, and other forms of restrictions, may impede disentangling the link between schooling and Covid-19 cases when focusing on a country or regional-level data. This work sheds light on the potential impact of school opening on the upsurge of contagion by combining a weekly panel of geocoded Covid-19 cases in Sicilian census areas with a unique set of school data. The identification of the effect takes advantage of both a spatial and time-variation in school opening, stemming from the flexibility in opening dates determined by a Regional Decree, and by the occurrence of a national referendum, which pulled a set of poll-station schools towards opening earlier or later September 24th. The analysis finds that census areas where schools opened earlier observed a significant and positive increase in the growth rate of Covid-19 cases between 2.5–3.7%. This result is consistent across several specifications, including accounting for several determinants of school opening, such as the number of temporary teachers, Covid-19 cases in August, and pupils with special needs. Finally, the analysis finds lower effects in more densely populated areas, on younger population, and on smaller class size. The results imply that school reopening generated an increase of one third in cases.

Suggested Citation

  • Amodio, Emanuele & Battisti, Michele & Kourtellos, Andros & Maggio, Giuseppe & Maida, Carmelo Massimo, 2022. "Schools opening and Covid-19 diffusion: Evidence from geolocalized microdata," European Economic Review, Elsevier, vol. 143(C).
    • Handle: RePEc:eee:eecrev:v:143:y:2022:i:c:s0014292121002762
    DOI: 10.1016/j.euroecorev.2021.104003
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    Cited by:

    1. Marc Diederichs & Reyn van Ewijk & Ingo E. Isphording & Nico Pestel, 2022. "Schools under mandatory testing can mitigate the spread of SARS-CoV-2," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(26), pages 2201724119-, June.
    2. Emanuele Amodio & Michele Battisti & Antonio Francesco Gravina & Andrea Mario Lavezzi & Giuseppe Maggio, 2023. "School‐age vaccination, school openings and Covid‐19 diffusion," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1084-1100, May.
    3. Mello, Marco & Moscelli, Giuseppe, 2022. "Voting, contagion and the trade-off between public health and political rights: Quasi-experimental evidence from the Italian 2020 polls," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1025-1052.
    4. Battisti, Michele & Maggio, Giuseppe, 2023. "Will the last be the first? School closures and educational outcomes," European Economic Review, Elsevier, vol. 154(C).
    5. Kóczán, Zs., 2024. "Lasting scars: The long-term effects of school closures on earnings," World Development, Elsevier, vol. 176(C).
    6. Lattanzio, Salvatore, 2024. "Schools and the transmission of Sars-Cov-2: Evidence from Italy," Economics & Human Biology, Elsevier, vol. 52(C).

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    More about this item

    Keywords

    COVID-19; Schooling; Propensity score matching;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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