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.
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University of Texas Inequality Project (http://utip.gov.utexas.edu)
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I thank Ravi Kanbur for the invitation to submit this essay for consideration by the JOEI, and I thank the members of the UTIP team for comments on the draft.
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Galbraith, J.K. Inequality, unemployment and growth: New measures for old controversies. J Econ Inequal 7, 189–206 (2009). https://doi.org/10.1007/s10888-008-9083-2
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DOI: https://doi.org/10.1007/s10888-008-9083-2