lc: Lorenz and Generalized Lorenz curves

In AngelBerihuete/laeken2: Calculate the TIPs and Lorenz curves

Description

Estimates the Lorenz and the Generalized Lorenz curves ordinates.

Usage

lc(dataset, samp = 10, generalized = FALSE, plot = FALSE)

Arguments

dataset	a data.frame containing variables obtained by using the setupDataset function.
samp	an integer which represents the number of ordinates to be estimated. The default is 10.
generalized	logical; if TRUE the Generalized Lorenz curve ordinates will be estimated.

Details

Lorenz and Generalized Lorenz curves ordinates are computed using the equivalized disposable income. The equivalence scales employed are the modified OECD scale and the parametric scale of Buhmann et al. (1988) (see setupDataset).

Value

A data.frame with the following components:

x.lg vector of cumulated proportion of population.

y.lg vector with values of the Lorenz or the Generalized Lorenz curves ordinates.

Author(s)

A. Berihuete, C.D. Ramos and M.A. Sordo

References

B C Arnold (1987) Majorization and the Lorenz order: A brief introduction, Lecture Notes in Statistics, 43, Springer-Verlag.

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.

See Also

setupDataset

Examples

data(eusilc2)
ATdataset <- setupDataset(eusilc2, country = "AT", s = "OECD")
lc.curve <- lc(ATdataset)
str(lc.curve)
 

AngelBerihuete/laeken2 documentation built on May 5, 2019, 6:02 a.m.