calcGEI: Generalized Entropy Index

In IC2: Inequality and Concentration Indices and Curves

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"]))

Example output

   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
      0    1836    3522    5194    6272  160858 
$ineq
$ineq$index
     GEI 
4.510638 

$ineq$parameter
alpha 
    3 


$nas
$nas$xNA
[1] 0

$nas$wNA
NULL

$nas$totalNA
[1] 0


attr(,"class")
[1] "ICI"
    GEI          alpha        
0.46204        1.00000        

IC2 documentation built on May 1, 2019, 7:49 p.m.