atkinson: Atkinson Inequality Index

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Calculating the Atkinson Inequality Index e.g. with respect to regional income

Usage

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atkinson(x, epsilon = 0.5, na.rm = TRUE)

Arguments

x

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

epsilon

A single value of the ε weighting coefficient (default: at.epsilon = 0.5)

na.rm

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

Details

The Atkinson Inequality Index (AI) 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).

Value

A single numeric value of the Atkinson Inequality Index (0 < AI < 1).

Author(s)

Thomas Wieland

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, coulter, dalton, disp

Examples

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atkinson(c(100,0,0,0), epsilon = 0.8)

atkinson(c(100,100,100,100), epsilon = 0.8)

Example output

[1] 0.9960938
[1] 0

REAT documentation built on Nov. 21, 2019, 5:08 p.m.