| gini {rtip} | R Documentation |
Gini index
Description
Estimates the Gini inequality index of an income distribution.
Usage
gini(dataset, ipuc = "ipuc", hhcsw = "DB090", hhsize = "HX040",
ci = NULL, rep = 1000, verbose = FALSE)
Arguments
dataset |
a data.frame containing the variables. |
ipuc |
a character string indicating the variable name of the income per unit of consumption. Default is "ipuc". |
hhcsw |
a character string indicating the variable name of the household cross-sectional weight. Default is "DB090". |
hhsize |
a character string indicating the variable name of the household size. Default is "HX040". |
ci |
a scalar or vector containing the confidence level(s) of the required interval(s). Default does not calculate the confidence interval. |
rep |
a number to do the confidence interval using boostrap technique. |
verbose |
logical; if TRUE the confidence interval is plotted. |
Details
The Gini index is calculated using the equivalised disposable income of each individual. Two types of equivalence scales can be used, the modified OECD scale and the parametric scale of Buhmann et al. (1988). The default is the modified OECD scale (see setupDataset).
Value
The value of the Gini index.
Author(s)
A. Berihuete, C.D. Ramos and M.A. Sordo
References
B. Buhmann et al. (1988) Equivalence scales, well-being, inequality and poverty: sensitivity estimates across ten countries using the Luxembourg Income Study (LIS) database, Review of Income and Wealth, 34, 115–142.
E. Ferreira and A. Garín (1997) Una nota sobre el cálculo del índice de Gini, Estadística Española, 39(142), 207–218.
http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:Gini_coefficient
See Also
setupDataset
Examples
data(eusilc2)
ATdataset <- setupDataset(eusilc2, country = "AT")
gini(ATdataset)