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The Unequal Consequences of the Covid-19 Pandemic: Evidence from a Large Representative German Population Survey

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  • Lea Immel
  • Florian Neumeier
  • Andreas Peichl

Abstract

We employ panel data from three waves of a large representative population survey carried out between June and November 2020 to assess in what regards and to what extent different groups of the German population are affected by the COVID- 19 crisis. Using common factor analysis, we demonstrate that people’s lives are mainly affected in two ways: First, a notable fraction of the population is concerned that they or their family members and friends may get infected with the coronavirus. Second, many people suffer from socio-economic consequences of the crisis, including a discontinuation of employment, a decrease in household income, and worries about financial troubles. Regressing these two factors on several socio-demographic characteristics reveals that especially the socio-economic consequences vary across population groups. Self-employed persons, marginally employed workers, low-income households, and families with children appear to be burdened over-proportionally.

Suggested Citation

  • Lea Immel & Florian Neumeier & Andreas Peichl, 2021. "The Unequal Consequences of the Covid-19 Pandemic: Evidence from a Large Representative German Population Survey," CESifo Working Paper Series 9038, CESifo.
  • Handle: RePEc:ces:ceswps:_9038
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    Cited by:

    1. Andrew Clark & Conchita D'Ambrosio & Anthony Lepinteur & Giorgia Menta, 2022. "Pandemic Policy and Individual Income Changes across Europe," Working Papers 600, ECINEQ, Society for the Study of Economic Inequality.
    2. Stephanie Lange & Claire-Marie Altrock & Emily Gossmann & Jörg M. Fegert & Andreas Jud, 2022. "COVID-19—What Price Do Children Pay? An Analysis of Economic and Social Policy Factors," IJERPH, MDPI, vol. 19(13), pages 1-15, June.
    3. Foremny, Dirk & Sorribas-Navarro, Pilar & Vall Castelló, Judit, 2024. "Income insecurity and mental health in pandemic times," Economics & Human Biology, Elsevier, vol. 53(C).
    4. Shiqi Jiang & Lingli Qi & Xinyue Lin, 2022. "The Impacts of COVID-19 Shock on Intergenerational Income Mobility: Evidence from China," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    5. Stefanie Stantcheva, 2022. "Inequalities in the times of a pandemic," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 37(109), pages 5-41.
    6. Nadia Steiber & Christina Siegert & Stefan Vogtenhuber, 2021. "Die Erwerbssituation und subjektive finanzielle Lage privater Haushalte im Verlauf der Pandemie," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 222, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    7. Galanis, Giorgos & Georgiadis, Andreas, 2024. "Socioeconomic conditions and contagion dynamics of the COVID-19 pandemic with and without mitigation measures: Evidence from 185 countries," World Development, Elsevier, vol. 175(C).

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    More about this item

    Keywords

    Corona; Covid-19; crisis; pandemic; inequality; Germany;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General

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