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Epidemics, Inequality and Poverty in Preindustrial and Early Industrial Times

, Stone Center and Guido Alfani
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, Stone Center: The Graduate Center/CUNY

No 36cqf, SocArXiv from Center for Open Science

Abstract: Recent research has explored the distributive consequences of major historical epidemics, and the current crisis triggered by Covid-19 prompts us to look at the past for insights about how pandemics can affect inequalities in income, wealth, and health. The fourteenth-century Black Death, which is usually believed to have led to a significant reduction in economic inequality, has attracted the greatest attention. However, the picture becomes much more complex if other epidemics are considered. This article covers the worst epidemics of preindustrial times, from Justinian’s Plague of 540-41 to the last great European plagues of the seventeenth century, as well as the cholera waves of the nineteenth. It shows how the distributive outcomes of lethal epidemics do not only depend upon mortality rates, but are mediated by a range of factors, chief among them the institutional framework in place at the onset of each crisis. It then explores how past epidemics affected poverty, arguing that highly lethal epidemics could reduce its prevalence through two deeply different mechanisms: redistribution towards the poor, or extermination of the poor. It concludes by recalling the historical connection between the progressive weakening and spacing in time of lethal epidemics and improvements in life expectancy, and by discussing how epidemics affected inequality in health and living standards. (Stone Center on Socio-Economic Inequality Working Paper Series)

Date: 2020-10-08
New Economics Papers: this item is included in nep-hea and nep-his
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Working Paper: Epidemics, inequality and poverty in preindustrial and early industrial times (2020) Downloads
Working Paper: Epidemics, inequality and poverty in preindustrial and early industrial times (2020) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:36cqf

DOI: 10.31219/osf.io/36cqf

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