IC2 (version 1.0-1)

calcGEI: Generalized Entropy Index

Description

Computes a generalized entropy inequality measure within a vector.

Usage

calcGEI(x, w = NULL, alpha = 1)

Arguments

x

Numeric vector with non-negative values (strictly positive when alpha=0 or alpha=1)

w

Numeric vector of sampling weigths (optional)

alpha

Parameter of the generalized entropy index. Theil index ($TT$) is calculated for alpha=1, the mean log deviation ($TL$) for alpha=0.

Value

A list of class "ICI" with components:

ineq

a list with components GEI (value of inequality index) and alpha (value of parameter)

nas

a list with NA counts, including components xNA, wNA and totalNA

References

Cowell F.A. (2000) Measurement of Inequality. In Atkinson A.B., Bourguignon F. (Eds.) Handbook of Income Distribution. Amsterdam, Elsevier, Vol. 1, pp. 87-166.

See Also

decompAtkinson

Examples

data(hhbudgets)

summary(hhbudgets[, "transporte"])
calcGEI(hhbudgets[,"transporte"], alpha=3)
summary(calcGEI(hhbudgets[,"ingreso"], w=hhbudgets[,"factor"]))