ge: Generalized entropy inequality index

In mjantti/incdist: A collection of functions for income distribution analysis

Generalized entropy inequality index

Description

This function estimates members of the Generalized Entropy family of inequality indices.

Usage

ge(
  x,
  w = rep(1, length(x)),
  eta = 2,
  data = NULL,
  ranked = x,
  na.rm = TRUE,
  ...
)

Arguments

x	a numerical vector whose index is to be estimated
w	an optional vector of non-negative integer values weights.
eta	the inequality aversion parameter, \eta \ge 0. Larger values place more weight on the inequality of high incomes.
data	the data frame where the variables are found.
na.rm	a logical indicating whether NA's should removed.

Details

If \eta = 0, ge() estimates Theils 0 index, for \eta = 1 ge() estimate Thiels log mean difference. If \eta = 2, ge is 1/2 of the square coefficient of variation, \frac{\sigma^2_x}{2\mu_x}.

Value

The inequality index.

Author(s)

Markus Jantti [e-mail]

References

\insertRef

lambert1993incdist

See Also

gini atkinson

Examples

ge(runif(100), eta = 2)

mjantti/incdist documentation built on Aug. 23, 2023, 5:33 p.m.