REAT (version 3.0.2)

coulter: Coulter Coefficient

Description

Calculating the Coulter Coefficient e.g. with respect to regional income

Usage

coulter(x, weighting = NULL, na.rm = TRUE)

Arguments

x

A numeric vector (e.g. dataset of regional income)

weighting

a weighting vector, e.g. population

na.rm

logical argument that indicates whether NA values should be excluded before computing results

Value

A single numeric value of the Coulter Coefficient (\(0 < CC < 1\)).

Details

The Coulter Coefficient (\(CC\)) varies between 0 (no inequality/concentration) and 1 (complete inequality/concentration). It can be used for economic inequality and/or regional disparities (Portnov/Felsenstein 2010).

References

Portnov, B.A./Felsenstein, D. (2010): “On the suitability of income inequality measures for regional analysis: Some evidence from simulation analysis and bootstrapping tests”. In: Socio-Economic Planning Sciences, 44, 4, p. 212-219.

See Also

cv, gini, gini2, herf, theil, hoover, atkinson, dalton, disp

Examples

# NOT RUN {
bip <- c(400,400,400, 400, NA)
bev <- c(1,1,1,200, NA)
coulter(bip, bev)
# }