Discussion Papers no. 734

Inferring inequality from data on social groups

Inequality and growth in the very long run

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.

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. Combining the inequality levels with data on GDP suggests a positive relationship between income inequality and economic growth. This supports earlier proposals, based on fewer data points, of a “super Kuznets curve” of increasing inequality over the entire pre-industrial period.

About the publication

Title

Inequality and growth in the very long run. Inferring inequality from data on social groups

Author

Jørgen Heibø Modalsli

Series and number

Discussion Papers no. 734

Publisher

Statistics Norway

Topic

Discussion Papers

ISSN

1892-753X

Number of pages

62

Language

Engelsk

About Discussion Papers

Discussion papers comprise research papers intended for international journals and books. A preprint of a Discussion Paper may be longer and more elaborate than a standard journal article as it may include intermediate calculations, background material etc.

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