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Subjektive Belastung der Eltern durch die Beschulung ihrer Kinder zu Hause zu Zeiten des Corona-bedingten Lockdowns im Frühjahr 2020

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  • Zinn, Sabine
  • Bayer, Michael

Abstract

Die Corona-bedingten Schulschließungen sowie die Schließung von Kinderbetreuungseinrichtungen im April und Mai 2020 haben viele Eltern vor eine immense Herausforderung gestellt. Plötzlich mussten Kinder ganztags Zuhause betreut und beschult werden. In diesem Beitrag beschäftigen wir uns mit der Frage nach der subjektiven Belastung, der sich Eltern durch die Beschulung ihrer Kinder Zuhause ausgesetzt sahen. Hierbei legen wir ein besonderes Augenmerk auf die individuelle Ressourcenausstattung der Eltern sowie auf ihre familiäre Situation und ihr Erwerbsleben. Insbesondere untersuchen wir das subjektive Belastungsempfinden alleinerziehender Eltern. Für unsere Analysen nutzen wir die Daten der SOEP-CoV Studie, einer Sonderbefragung an Panelteilnehmern des Sozio-Oekonomischen Panels (SOEP) zum Thema Corona. Insgesamt konnten wir bei allen befragten Eltern (N=1508, davon N=243 alleinerziehend) eine mäßige Belastung durch die Anforderungen der Beschulung ihrer Kinder Zuhause ausmachen. Besonders belastet fühlten sich jedoch Eltern mit einem niedrigen Bildungsabschluss und alleinerziehende Eltern, insbesondere wenn sie zur Zeit der Schulschließungen erwerbstätig waren. Unsere Analysen legen nahe, dass gerade diese Elterngruppen Probleme hatten, den Anforderungen, die eine Beschulung Zuhause mit sich bringt, unter den gegebenen Umständen umfassend nachzukommen.

Suggested Citation

  • Zinn, Sabine & Bayer, Michael, 2021. "Subjektive Belastung der Eltern durch die Beschulung ihrer Kinder zu Hause zu Zeiten des Corona-bedingten Lockdowns im Frühjahr 2020," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 24(2), pages 339-365.
    • Handle: RePEc:zbw:espost:237373
    DOI: 10.1007/s11618-021-01012-9
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    References listed on IDEAS

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    1. Kühne, Simon & Kroh, Martin & Liebig, Stefan & Zinn, Sabine, 2020. "The Need for Household Panel Surveys in Times of Crisis: The Case of SOEP-CoV," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(2), pages 195-203.
    2. Valerie K. Heintz-Martin & Alexandra N. Langmeyer, 2020. "Economic Situation, Financial Strain and Child Wellbeing in Stepfamilies and Single-Parent Families in Germany," Journal of Family and Economic Issues, Springer, vol. 41(2), pages 238-254, June.
    3. Anger, Christina & Plünnecke, Axel, 2020. "Homeschooling und Bildungsgerechtigkeit," IW-Kurzberichte 44/2020, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
    4. Kai-Uwe Müller & Claire Samtleben & Julia Schmieder & Katharina Wrohlich, 2020. "Corona-Krise erschwert Vereinbarkeit von Beruf und Familie vor allem für Mütter – Erwerbstätige Eltern sollten entlastet werden," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 87(19), pages 331-340.
    5. Jae Kwang Kim & J. Michael Brick & Wayne A. Fuller & Graham Kalton, 2006. "On the bias of the multiple‐imputation variance estimator in survey sampling," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(3), pages 509-521, June.
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