ABSTRACT
More inequality indexes are based on combinatorial analysis than on any other mathematical model. This chapter presents twenty-one such measures, each bearing the name of its originator, although when duplicates, equivalents, and complements are eliminated, fourteen unique measures remain. I begin the chapter with a brief discussion of the elementary principles of combinatorics, its application to the multinomial expansion, and its use in constructing inequality measures. Next, a list of the measures by name and equation precedes an extended discussion of each in terms of the conceptual and operational criteria presented in chapter two.
