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Inequality in the very long run: inferring inequality from data on social groups

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  • Jørgen Modalsli

Abstract

This paper presents a new method for calculating Gini coefficients from tabulations of the mean income of social classes. Income distribution data from before the Industrial Revolution usually come in the form of such tabulations, called social tables. Inequality indices generated from social tables are frequently calculated without adjusting for within-group income dispersion, leading to a systematic downward bias in the reporting of pre-industrial inequality. The correction method presented in this paper is applied to an existing collection of twenty-five social tables, from Rome in AD 1 to India in 1947. The corrections, using a variety of assumptions on within-group dispersion, lead to substantial increases in the Gini coefficients. Copyright Springer Science+Business Media New York 2015

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  • Jørgen Modalsli, 2015. "Inequality in the very long run: inferring inequality from data on social groups," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 225-247, June.
    • Handle: RePEc:kap:jecinq:v:13:y:2015:i:2:p:225-247
    DOI: 10.1007/s10888-014-9279-6
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    Cited by:

    1. Branko Milanovic, 2018. "Towards an explanation of inequality in premodern societies: the role of colonies, urbanization, and high population density," Economic History Review, Economic History Society, vol. 71(4), pages 1029-1047, November.
    2. Esteban Nicolini & Fernando Ramos Palencia, 2016. "Comparing Income and Wealth Inequality in Pre-Industrial economies. Lessons from Spain in the 18th century," Working Papers 16.01, Universidad Pablo de Olavide, Department of Economics, Quantitative Methods and Economic History.
    3. Pablo Astorga, 2024. "Revealing The Diversity And Complexity Behind Long-Term Income Inequality In Latin America, 1920-2011," Working Papers 0250, European Historical Economics Society (EHES).
    4. Maria Gomez-Leon & Giacomo Gabbuti, 2021. "Wars, Depression, and Fascism: Income Inequality in Italy, 1900-1950," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 2104, Departamento de Economía - Universidad Pública de Navarra.
    5. Inwood, Kris & Minns, Chris & Summerfield, Fraser, 2019. "Occupational income scores and immigrant assimilation. Evidence from the Canadian census," Explorations in Economic History, Elsevier, vol. 72(C), pages 114-122.
    6. Sihai Zhang & Zhiyang Wang, 2016. "Inferring Passenger Denial Behavior of Taxi Drivers from Large-Scale Taxi Traces," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-21, November.
    7. Jørgen Modalsli, 2017. "Decomposing Global Inequality," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(3), pages 445-463, September.
    8. Espín-Sánchez, José-Antonio & Gil-Guirado, Salvador & Giraldo-Paez, W. Daniel & Vickers, Chris, 2019. "Labor income inequality in pre-industrial Mediterranean Spain: The city of Murcia in the 18th century," Explorations in Economic History, Elsevier, vol. 73(C), pages 1-1.
    9. Milanovic, Branko, 2016. "Towards an explanation of inequality in pre-modern societies:the role of colonies and high population density," MPRA Paper 74877, University Library of Munich, Germany.
    10. Esteban A. Nicolini & Fernando Ramos Palencia, 2016. "Comparing Income and Wealth Inequality in Pre-Industrial Economies: Lessons from 18th-Century Spain," Working Papers 0095, European Historical Economics Society (EHES).

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