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

Giorgia Menta

No 568, Working Papers from ECINEQ, Society for the Study of Economic Inequality

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, I investigate how income distributions and poverty rates havechanged from January to September 2020. I find that poverty rates increased on average in allcountries from January to May and partially recovered in September. The increase in povertyis heterogeneous across countries, with Italy being the most affected and France the least;within countries, COVID-19 contributed to exacerbating poverty differences across regions inItaly and Spain. With a set of poverty measures from the Foster-Greer-Thorbecke family, I thenexplore the role of individual characteristics in shaping different poverty profiles acrosscountries. Results suggest that poverty increased disproportionately more for youngindividuals, women, and respondents who had a job in January 2020 – with different intensityacross countries.

Keywords: COVID-19; Poverty; TIP; Europe; Headcount ratio (search for similar items in EconPapers)
JEL-codes: I14 I18 I32 (search for similar items in EconPapers)
Pages: 45 pages
Date: 2021-01
New Economics Papers: this item is included in nep-eur, nep-hme and nep-ltv
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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http://www.ecineq.org/milano/WP/ECINEQ2021-568.pdf First version, 2021 (application/pdf)

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Chapter: Poverty in the COVID-19 Era: Real-time Data Analysis on Five European Countries (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:inq:inqwps:ecineq2021-568

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