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The Income Gradient in Mortality during the Covid-19 Crisis: Evidence from Belgium
We use population-wide data from linked administrative registers to study the distributional pattern of mortality before and during the first wave of the Covid-19 pandemic in Belgium. Over the March-May 2020 study period, excess mortality is only found among those aged 65 and over. For this group, w...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390079/ https://www.ncbi.nlm.nih.gov/pubmed/34466135 http://dx.doi.org/10.1007/s10888-021-09505-7 |
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author | Decoster, André Minten, Thomas Spinnewijn, Johannes |
author_facet | Decoster, André Minten, Thomas Spinnewijn, Johannes |
author_sort | Decoster, André |
collection | PubMed |
description | We use population-wide data from linked administrative registers to study the distributional pattern of mortality before and during the first wave of the Covid-19 pandemic in Belgium. Over the March-May 2020 study period, excess mortality is only found among those aged 65 and over. For this group, we find a significant negative income gradient in excess mortality, with excess deaths in the bottom income decile more than twice as high as in the top income decile for both men and women. However, given the high inequality in mortality in normal times, the income gradient in all-cause mortality is only marginally steeper during the peak of the health crisis when expressed in relative terms. Leveraging our individual-level data, we gauge the robustness of our results for other socioeconomic factors and decompose the role of individual vs. local effects. We provide direct evidence that geographic location effects on individual mortality are particularly strong during the first wave of the Covid-19 pandemic, channeling through the local number of Covid infections. This makes inference about the income gradient in excess mortality based on geographic variation misguided. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10888-021-09505-7. |
format | Online Article Text |
id | pubmed-8390079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-83900792021-08-27 The Income Gradient in Mortality during the Covid-19 Crisis: Evidence from Belgium Decoster, André Minten, Thomas Spinnewijn, Johannes J Econ Inequal Article We use population-wide data from linked administrative registers to study the distributional pattern of mortality before and during the first wave of the Covid-19 pandemic in Belgium. Over the March-May 2020 study period, excess mortality is only found among those aged 65 and over. For this group, we find a significant negative income gradient in excess mortality, with excess deaths in the bottom income decile more than twice as high as in the top income decile for both men and women. However, given the high inequality in mortality in normal times, the income gradient in all-cause mortality is only marginally steeper during the peak of the health crisis when expressed in relative terms. Leveraging our individual-level data, we gauge the robustness of our results for other socioeconomic factors and decompose the role of individual vs. local effects. We provide direct evidence that geographic location effects on individual mortality are particularly strong during the first wave of the Covid-19 pandemic, channeling through the local number of Covid infections. This makes inference about the income gradient in excess mortality based on geographic variation misguided. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10888-021-09505-7. Springer US 2021-08-26 2021 /pmc/articles/PMC8390079/ /pubmed/34466135 http://dx.doi.org/10.1007/s10888-021-09505-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Decoster, André Minten, Thomas Spinnewijn, Johannes The Income Gradient in Mortality during the Covid-19 Crisis: Evidence from Belgium |
title | The Income Gradient in Mortality during the Covid-19 Crisis: Evidence from Belgium |
title_full | The Income Gradient in Mortality during the Covid-19 Crisis: Evidence from Belgium |
title_fullStr | The Income Gradient in Mortality during the Covid-19 Crisis: Evidence from Belgium |
title_full_unstemmed | The Income Gradient in Mortality during the Covid-19 Crisis: Evidence from Belgium |
title_short | The Income Gradient in Mortality during the Covid-19 Crisis: Evidence from Belgium |
title_sort | income gradient in mortality during the covid-19 crisis: evidence from belgium |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390079/ https://www.ncbi.nlm.nih.gov/pubmed/34466135 http://dx.doi.org/10.1007/s10888-021-09505-7 |
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