Our work has emphasized the use of Theil's T statistic
to compute inequality indexes from industrial, regional and sectoral data.
The methods we use to measure inequality are presented in the tutorials
section and the working paper series section.
Macros to facilitate the calculations can be downloaded from the tools
We produce data sets on pay inequality at the global
level, at the national level including for Argentina, Brazil, Cuba, China, India, and Russia, and
at the regional level for Europe. We have also used pay inequality as
an instrument to estimate measures of household income inequality, for
a large panel of countries from 1963 through 1999. This new global data
set has nearly 3,200 country-year observations. All data sets are available
in the data section.
UTIP receives financial support mainly from the Lloyd
M. Bentsen Jr. Chair in Business/Government Relations at the Lyndon
B. Johnson School of Public Affairs, the University
of Texas at Austin. We have received past support from the Ford
Foundation and from the Carnegie
We work in association with Economists
for Peace and Security and the Levy