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The Income Gradient in Mortality during the Covid-19 Crisis: Evidence from Belgium

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  • André Decoster

    (Department of Economics)

  • Thomas Minten

    (Department of Economics)

  • Johannes Spinnewijn

    (Department of Economics)

Abstract

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.

Suggested Citation

  • André Decoster & Thomas Minten & Johannes Spinnewijn, 2021. "The Income Gradient in Mortality during the Covid-19 Crisis: Evidence from Belgium," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 551-570, September.
  • Handle: RePEc:spr:joecin:v:19:y:2021:i:3:d:10.1007_s10888-021-09505-7
    DOI: 10.1007/s10888-021-09505-7
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    1. Brandily, Paul & Brébion, Clément & Briole, Simon & Khoury, Laura, 2021. "A poorly understood disease? The impact of COVID-19 on the income gradient in mortality over the course of the pandemic," European Economic Review, Elsevier, vol. 140(C).
    2. Albani, Viviana & Welsh, Claire E. & Brown, Heather & Matthews, Fiona E. & Bambra, Clare, 2022. "Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England," Social Science & Medicine, Elsevier, vol. 311(C).
    3. Minhye Kim & Suzin You & Jong-sung You & Seung-Yun Kim & Jong Heon Park, 2021. "Income-Related Mortality Inequalities and Its Social Factors among Middle-Aged and Older Adults at the District Level in Aging Seoul: An Ecological Study Using Administrative Big Data," IJERPH, MDPI, vol. 19(1), pages 1-17, December.
    4. Rohde, Kirsten I.M. & Van Ourti, Tom & Soebhag, Amar, 2023. "Reducing socioeconomic health inequalities? A questionnaire study of majorization and invariance conditions," Journal of Health Economics, Elsevier, vol. 90(C).

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    Inequality; Mortality; COVID-19;
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