The University of Texas Inequality Project Global Inequality Data Sets, 1963–2008: Updates, Revisions and Quality Checks

James K. Galbraith, Beatrice Halbach, Aleksandra Malinowska, Amin Shams, Wenjie Zhang and Edward N. Wolff
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James K. Galbraith: University of Texas Austin
Beatrice Halbach: University of Texas Austin
Aleksandra Malinowska: University of Texas Austin
Amin Shams: University of Texas Austin
Wenjie Zhang: University of Texas Austin
Edward N. Wolff: New York University

Chapter 3 in Inequality and Growth: Patterns and Policy, 2016, pp 98-135 from Palgrave Macmillan

Abstract: Abstract The UTIP-UNIDO data set of industrial pay inequality is a panel comprised of the between-groups component of Theil’s T statistic measured in different countries and years across a stable and consistent set of industrial sectors. The Theil method is described in full elsewhere (Conceição, Ferreira and Galbraith 1999). Initially computed by Galbraith, Lu and Darity (1999) and updated by Galbraith and Kum (2004), the UTIP-UNIDO data set has the virtue of providing dense, consistent, accurate measures, and it has the limitation of being restricted to the inequality of inter-industrial pay. Its principal direct interest for economists is the study of common trends and of common factors affecting inequality, such as interest rates, debt crises, changing financial regimes, technology and trade. It has also proved to be a sensitive measure of major political events. Perhaps most important, the UTIP-UNIDO measures prove to be an effective instrument for estimating Gini coefficients for gross household income inequality, and this permits the construction of a dense and consistent panel of such estimates, complementing and extending the direct measurements available from other sources.

Keywords: Income Inequality; Income Distribution; Gini Coefficient; Market Income; Luxembourg Income Study (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:pal:intecp:978-1-137-55459-8_3

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DOI: 10.1057/9781137554598_3

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