GEIVARS: Stata module to calculate Generalized Entropy inequality indices
Stephen P. Jenkins
geivars estimates several inequality indices commonly used by economists, together with their asymptotic sampling variances. Unit record ('micro' level) data are required. The inequality indices estimated are members of the single parameter Generalized Entropy class GE(a) for a = -1, 0, 1, 2. The indices differ in their sensitivities to differences in different parts of the distribution. The more positive a is, the more sensitive GE(a) is to income differences at the top of the distribution; the more negative a is the more sensitive it is to differences at the bottom of the distribution. GE(0) is the mean logarithmic deviation, GE(1) is the Theil index, and GE(2) is half the square of the coefficient of variation. This version has been revised for Stata 7.0 compatibility.
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