Abstract
We here use panel data from the COME-HERE survey to track income inequality during COVID-19 in France, Germany, Italy, and Spain. Relative inequality in equivalent household disposable income among individuals changed in a hump-shaped way between January 2020 and January 2021, with an initial rise from January to May 2020 being more than reversed by September 2020. Absolute inequality also fell over this period. Due to the pandemic some households lost more than others, and government compensation schemes were targeted towards the poorest, implying that on average income differences decreased. Generalized Lorenz domination reveals that these distributive changes reduced welfare in Italy.
Supplementary Information
The online version contains supplementary material available at 10.1007/s10888-021-09499-2.
Keywords: COME-HERE, COVID-19, Income inequality
Supplementary Information
Footnotes
We would like to thank Thomas Blanchet, Liyousew Borga, Walter Bossert, Michael Förster, Markus Grabka, Sebastian Königs, Giorgia Menta, Vincent Vergnat, Remi Yin and participants at the OECD WISE Webinar Series on COVID-19 and Inequality and a seminar at the University of Luxembourg for their help and feedback. We also thank the Editor, Andreas Peichl, and two anonymous referees for comments that helped improve the paper. Financial support from the French Agence Nationale de la Recherche (DYNPANDEMIC), André Losch Fondation, Art2Cure, Cargolux, and the Fonds National de la Recherche Luxembourg (Grant COVID-19/2020-2/14840950/COME-HERE) is gratefully acknowledged. Andrew Clark acknowledges financial support from the EUR grant ANR-17-EURE-0001.
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Change history
2/18/2022
A Correction to this paper has been published: 10.1007/s10888-021-09516-4
Contributor Information
Andrew E. Clark, Email: andrew.clark@ens.fr
Conchita D’Ambrosio, Email: conchita.dambrosio@uni.lu.
Anthony Lepinteur, Email: anthony.lepinteur@uni.lu.
References
- Adams-Prassl A, Boneva T, Golin M, Rauh C. Inequality in the impact of the coronavirus shock: Evidence from real time surveys. J. Public. Econ. 2020;189:104245. doi: 10.1016/j.jpubeco.2020.104245. [DOI] [Google Scholar]
- Almeida, V., Barrios, S., Christl, M., De Poli, S., Tumino, A., van der Wielen, W.: Households’ income and the cushioning effect of fiscal policy measures during the Great Lockdown. J. Econ. Inequal., forthcoming (2021) [DOI] [PMC free article] [PubMed]
- Alon T, Doepke M, Olmstead-Rumsey J, Tertilt M. The impact of COVID-19 on gender equality. Eur. Soc. 2021;23:S228–S245. doi: 10.1080/14616696.2020.1823010. [DOI] [Google Scholar]
- Atkinson, A.B., Brandolini, A.: Global World inequality: absolute, relative or intermediate? Paper prepared for the 28th General IARIW Conference (2004)
- Beland, L.P., Brodeur, A., Wright, T.: The short-term economic consequences of COVID-19: Exposure to disease, remote work and government response. IZA Discussion Paper No. 13159 (2020) [DOI] [PMC free article] [PubMed]
- Belot, M., Choi, S., Jamison, J.C., Papageorge, N.W., Tripodi, E., Van den Broek-Altenburg, E.: Unequal consequences of COVID-19 across age and income: representative evidence from six countries. Rev. Econ. Househ. 19, 769–783 (2021) [DOI] [PMC free article] [PubMed]
- Bonacini L, Gallo G, Scicchitano S. Working from home and income inequality: risks of a ‘new normal’ with COVID-19. J. Popul. Econ. 2020;34:303–360. doi: 10.1007/s00148-020-00800-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bottan N, Hoffmann B, Vera-Cossio D. The unequal impact of the coronavirus pandemic: Evidence from seventeen developing countries. PLoS One. 2020;15:e0239797. doi: 10.1371/journal.pone.0239797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brewer M, Gardiner L. The initial impact of COVID-19 and policy responses on household incomes. Oxf. Rev. Econ. Policy. 2020;36:S187–S199. doi: 10.1093/oxrep/graa024. [DOI] [Google Scholar]
- Brewer, M., Tasseva, I.: Did the UK policy response to Covid-19 protect household incomes? J. Econ. Inequal., forthcoming (2021) [DOI] [PMC free article] [PubMed]
- Brodeur A, Clark AE, Flèche S, Powdthavee N. COVID-19, Lockdowns and well-being: evidence from Google trends. J. Public. Econ. 2021;193:104346. doi: 10.1016/j.jpubeco.2020.104346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brunori, P., Maitino, M.L., Ravagli, L., Sciclone, N.: Distant and unequal. Lockdown and inequalities in Italy. DISEI, Università degli Studi di Firenze, Working Paper No. 13/2020 (2020)
- Cowell FA, Mehta F. The estimation and interpolation of inequality measures. Rev. Econ. Stud. 1982;49:273–290. doi: 10.2307/2297275. [DOI] [Google Scholar]
- Fang H, Wang L, Yang Y. Human mobility restrictions and the spread of the novel Coronavirus (2019-nCoV) in China. J. Public. Econ. 2020;191:104272. doi: 10.1016/j.jpubeco.2020.104272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Farré, L., Fawaz, Y., González, L., Graves, J.: How the COVID-19 lockdown affected gender inequality in paid and unpaid work in Spain. IZA Discussion Paper No. 13434 (2020)
- Ferguson, N., Laydon, D., Nedjati Gilani, G., Imai, N., Ainslie, K., Baguelin, M., Bhatia, S., Boonyasiri, A., Perez, C., Cuomo-Dannenburg, Z., G. et al.: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. Report published by the Imperial College COVID-19 Response Team (2020)
- Figari, F., Fiorio, C.V.: Welfare resilience in the immediate aftermath of the COVID-19 outbreak in Italy. EUROMOD Working Paper Series No. 06/20 (2020)
- Grabka, M.M.: Income inequality in Germany stagnating over the long term, but decreasing slightly during the coronavirus pandemic. DIW Weekly Report 17 + 18 available at: http://www.diw.de/documents/publikationen/73/diw_01.c.817500.de/dwr-21-17-1.pdf (2021)
- Guven, C., Sotirakopoulos, P., Ulker, A.: Short-term labour market effects of COVID-19 and the Associated National Lockdown in Australia: Evidence from longitudinal labour force survey. GLO Discussion Paper No. 635 (2020)
- Layard, R., Clark, A., De Neve, J.-E., Krekel, C., Fancourt, D., Hey, N., O’Donnell, G.: When to release the lockdown: A wellbeing framework for analysing costs and benefits. Centre for Economic Performance, Occasional Paper No. 49 (2020)
- Li, J., Vidyattama, Y., La, H.A., Miranti, R., Sologon, D.M.: The impact of COVID-19 and policy responses on Australian income distribution and poverty. ArXiv preprint arXiv:2009.04037 (2020) [DOI] [PMC free article] [PubMed]
- Lourenco, J., Paton, R., Ghafari, M., Kraemer, M., Thompson, C., Simmonds, P., Klenerman, P., Gupta, S.: Fundamental principles of epidemic spread highlight the immediate need for large-scale serological surveys to assess the stage of the sars-cov-2 epidemic. medRxiv (2020)
- O’Donoghue C, Sologon DM, Kyzyma I, McHale J. Modelling the distributional impact of the COVID-19 crisis. Fisc. Stud. 2020;41:321–336. doi: 10.1111/1475-5890.12231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Palomino JC, Rodríguez JG, Sebastian R. Wage inequality and poverty effects of lockdown and social distancing in Europe. Eur. Econ. Rev. 2020;129:103564. doi: 10.1016/j.euroecorev.2020.103564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sanfelici M. The Italian Response to the COVID-19 Crisis: Lessons Learned and Future Direction in Social Development. Int. J. Commun. Soc. Dev. 2020;2:191–210. doi: 10.1177/2516602620936037. [DOI] [Google Scholar]
- Shorrocks AF. Ranking income distributions. Economica. 1983;50:3–17. doi: 10.2307/2554117. [DOI] [Google Scholar]
- Von Hippel PT, Hunter DJ, Drown M. Better estimates from binned income data: Interpolated CDFs and mean-matching. Sociol. Sci. 2017;4:641–655. doi: 10.15195/v4.a26. [DOI] [PMC free article] [PubMed] [Google Scholar]
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