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The income gradient in mortality during the Covid-19 crisis: evidence from Belgium

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  • André Decoster
  • Thomas Minten
  • Johannes Spinnewijn

Abstract

We use population-wide data from linked administrative registers to study the distributional pattern of mortality before and during the Covid-19 pandemic in Belgium. 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 find that conclusions about the income gradient in excess mortality based on aggregate data can be misguided.

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  • André Decoster & Thomas Minten & Johannes Spinnewijn, 2020. "The income gradient in mortality during the Covid-19 crisis: evidence from Belgium," Working Papers of Department of Economics, Leuven 660900, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
  • Handle: RePEc:ete:ceswps:660900
    Note: paper number DPS20.18
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    2. 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).
    3. 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).
    4. 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.

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