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Poverty in the COVID-19 Era: Real-time Data Analysis on Five European Countries

In: Research on Economic Inequality: Poverty, Inequality and Shocks

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  • Giorgia Menta

Abstract

Using real-time data from the University of Luxembourg’s COME-HERE nationally representative panel survey, covering more than 8,000 individuals across France, Germany, Italy, Spain, and Sweden, the author investigates how income distributions and poverty rates have changed from January to September 2020. The author finds that poverty rates increased on average in all countries from January to May and partially recovered in September. The increase in poverty is heterogeneous across countries, with Italy being the most affected and France the least; within countries, COVID-19 contributed to exacerbating poverty differences across regions in Italy and Spain. With a set of poverty measures from the Foster–Greer–Thorbecke family, the author then explores the role of individual characteristics in shaping different poverty profiles across countries. Results suggest that poverty increased disproportionately more for young individuals, women, and respondents who had a job in January 2020 – with different intensities across countries.

Suggested Citation

  • Giorgia Menta, 2021. "Poverty in the COVID-19 Era: Real-time Data Analysis on Five European Countries," Research on Economic Inequality, in: Research on Economic Inequality: Poverty, Inequality and Shocks, volume 29, pages 209-247, Emerald Group Publishing Limited.
    • Handle: RePEc:eme:reinzz:s1049-258520210000029010
    DOI: 10.1108/S1049-258520210000029010
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    Cited by:

    1. Andrew E. Clark & Anthony Lepinteur, 2022. "Pandemic Policy and Life Satisfaction in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(2), pages 393-408, June.
    2. Lepinteur, Anthony & Clark, Andrew E. & Ferrer-i-Carbonell, Ada & Piper, Alan & Schröder, Carsten & D'Ambrosio, Conchita, 2022. "Gender, loneliness and happiness during COVID-19," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    3. Adermon, Adrian & Laun, Lisa & Lind, Patrik & Olsson, Martin & Sauermann, Jan & Sjögren, Anna, 2022. "Earnings Losses and the Role of the Welfare State During the COVID-19 Pandemic: Evidence from Sweden," Working Paper Series 1443, Research Institute of Industrial Economics.
    4. 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.
    5. Astarita, Caterina & Alcidi, Cinzia, 2022. "Did the COVID-19 pandemic impact income distribution?," MPRA Paper 113851, University Library of Munich, Germany.
    6. Giulia Barletta & Finório Castigo & Eva‐Maria Egger & Michael Keller & Vincenzo Salvucci & Finn Tarp, 2022. "The impact of COVID‐19 on consumption poverty in Mozambique," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(4), pages 771-802, May.
    7. Julio López Laborda & Carmen Marín González & Jorge Onrubia, 2022. "¿Cómo afectan los impuestos y las prestaciones públicas a los hogares en riesgo de pobreza?," Studies on the Spanish Economy eee2022-10, FEDEA.

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    More about this item

    Keywords

    COVID-19; poverty; TIP; Europe; headcount ratio; COME-HERE; I14; I18; I32;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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