André Decoster, Thomas Minten, Johannes Spinnewijn
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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, 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.
期刊介绍:
The Journal of Economic Inequality provides a forum for analysis of ''economic inequality'', broadly defined. Its scope includes: · Theoretical and empirical analysis· Monetary measures of ''well-being'' such as earnings, income, consumption, and wealth; non-monetary measures such as educational achievement and health and health care; multidimensional measures· Inequality and poverty within and between countries, and globally, and their trends over time· Inequalities of opportunity· Income mobility and poverty persistence· The factor distribution of income· Differences in ''well-being'' between socioeconomic groups, for example between men and women, generations, or ethnic groups· The effects of inequality on macroeconomic and other phenomena, and vice versa· Related statistical methods and data issues · Related policy analysis Papers need to prioritize the ''economic inequality'' dimension. For example, papers about trade and inequality, or inequality and growth, should not primarily be about trade or growth (in which case they should target a different journal). The same is true for papers considering the inter-relationships between the income distribution and the labour market, public policy, or demography.
Officially cited as: J Econ Inequal