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Epidemics, inequality and poverty in preindustrial and early industrial times

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  • Alfani, Guido

    (Bocconi University)

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.

Suggested Citation

  • Alfani, Guido, 2020. "Epidemics, inequality and poverty in preindustrial and early industrial times," CAGE Online Working Paper Series 520, Competitive Advantage in the Global Economy (CAGE).
  • Handle: RePEc:cge:wacage:520
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    Cited by:

    1. Alarco, Germán, 2023. "Concentration of wealth and income in post-pandemic Latin-America: Measurement, results, and perspective," MPRA Paper 119516, University Library of Munich, Germany.
    2. Alfani, Guido, 2023. "Inequality in History: A Long-Run View," SocArXiv 94dgs, Center for Open Science.
    3. Rachel Glennerster & Christopher M. Snyder & Brandon Joel Tan, 2023. "Calculating the Costs and Benefits of Advance Preparations for Future Pandemics," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(3), pages 611-648, September.
    4. Xiaowen Xie, 2023. "Analyzing the Impact of Digital Inclusive Finance on Poverty Reduction: A Study Based on System GMM in China," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    5. Brata, Aloysius Gunadi & Triandaru, Sigit & Patnasari, Yenny & Setyastuti, Rini & Sutarta, Agustinus Edi & Sukamto, Andreas, 2022. "The Spanish Flu Pandemic and Income Distribution in Java: Lessons from the 1920s," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 56(3), pages 103-117.
    6. Brzezinski, Michal, 2021. "The impact of past pandemics on economic and gender inequalities," Economics & Human Biology, Elsevier, vol. 43(C).
    7. Carl Bonham & Ruben Juarez & Nicole Siegal, 2023. "Long COVID and Unemployment in Hawaii," IJERPH, MDPI, vol. 20(13), pages 1-12, June.
    8. Khan,Amjad Muhammad & Park,Hogeun & Roberts,Mark & Wibisana,Putu Sanjiwacika, 2022. "When the Lights Go Out : The Economic Impacts of Covid-19 on Cities Globally," Policy Research Working Paper Series 10189, The World Bank.
    9. Scott Alan Carson & Scott A. Carson, 2023. "Late 19th and Early 20th Century Urban Net Nutrition by Gender and Race," CESifo Working Paper Series 10703, CESifo.
    10. Prados de la Escosura, Leandro & Rodríguez-Caballero, C. Vladimir, 2022. "War, pandemics, and modern economic growth in Europe," Explorations in Economic History, Elsevier, vol. 86(C).
    11. Benjamin Schneider & Hillary Vipond, 2023. "The Past and Future of Work: How History Can Inform the Age of Automation," CESifo Working Paper Series 10766, CESifo.
    12. Guido Alfani & Hector García Montero, 2022. "Wealth inequality in pre‐industrial England: A long‐term view (late thirteenth to sixteenth centuries)," Economic History Review, Economic History Society, vol. 75(4), pages 1314-1348, November.
    13. Schneider, Benjamin & Vipond, Hillary, 2023. "The past and future of work: how history can inform the age of automation," Economic History Working Papers 119282, London School of Economics and Political Science, Department of Economic History.

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    Keywords

    JEL Classification: D31; D63; I14; I30; J11; N30; N33;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • N30 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - General, International, or Comparative

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