The Journal of Economic Inequality

, Volume 7, Issue 2, pp 189–206 | Cite as

Inequality, unemployment and growth: New measures for old controversies

Article

Abstract

This essay surveys some of the work of the University of Texas Inequality Project, a small research group that for the past decade has worked primarily to develop new measures of economic inequality, using a method based on the between-groups component of Theil’s T statistic. In this way, inequality statistics can be computed from many diverse and mundane sources of information, including regional tax collections, employment and earnings, census of manufacturing, and harmonized international industrial data sets. The rich data environment so constructed permits new analyses of patterns of economic change, by region, by sector, and by country, and broadly supports the idea that the movement of inequality is closely related to macroeconomic events at the national and the global level.

Keywords

Inequality Unemployment Theil’s T statistic 

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Copyright information

© Springer Science+Business Media, LLC. 2008

Authors and Affiliations

  1. 1.LBJ School of Public AffairsThe University of Texas at AustinAustinUSA

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