Benchmark datasets play a central role in the organization of machine learning research.
They coordinate researchers around shared research problems and serve as a measure of …

To use the generalized beta distribution of the second kind (GB2) for the analysis of income
and other positively skewed distributions, knowledge of estimation methods and the ability to …

The distribution of wealth lies at the heart of the broad research field of economic inequality.
It is a topic that has recently gained considerable attention in view of the widespread …

The Theil indices (Theil,) are widely used measures for studying the degree of concentration
and inequality in size income distributions. Their property of decomposability makes these …

Researchers often estimate income inequality by using data that give only the number of
cases (eg, families or households) whose incomes fall in “bins” such as 0to 9,999, 10,000to …

Researchers often estimate income statistics from summaries that report the number of
incomes in bins such as $0 to 10,000, $10,001 to 20,000,..., $200,000+. Some analysts …

Are the best-paying jobs with the highest prestige done by individuals of great intelligence?
Past studies find job success to increase with cognitive ability, but do not examine how …

This article presents the first complete 19 th-century reconstruction of the Mexican wealth
distribution, from independence to the Mexican Revolution. It uses an often underutilized …

We develop a general approach to estimation and inference for income distributions using
grouped or aggregate data that are typically available in the form of population shares and …

The (double) Pareto–lognormal is an emerging parametric distribution for income that has a
sound underlying generating process, good theoretical properties, and some limited …