TheilU: Theil's U Index of Inequality

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

Description

Calculate Theil's U index of inequality.

Usage

1
TheilU(a, p, type = c(2, 1), na.rm = FALSE)

Arguments

a

a numeric vector with the actual observed values.

p

a numeric vector containing the predictions.

type

defining the type of Theil's two U measures, see Details. Default is 2.

na.rm

logical, indicating whether NA values should be stripped before the computation proceeds. If set to TRUE complete cases of cbind(x, y) will be used. Defaults to FALSE.

Details

Theil proposed two error measures, but at different times and under the same symbol U, which has caused some confusion. U type = 1 is taken from Theil (1958, pp. 31-42). The argument a represents the actual observations and p the corresponding predictions. He left it open whether a and p should be used as absolute values or as observed and predicted changes.
Theil (1966, chapter 2) proposed U type = 2 as a measure of forecast quality: "...where A_i and P_i stand for a pair of predicted and observed changes. ..."
As U_1 has some serious disadvantages (see Bliemel 1973) it is recommended to use U_2.

Author(s)

Andri Signorell <andri@signorell.net>

References

Theil, H. (1958): Economic Forecasts and Policy. Amsterdam: North Holland.

Thiel, H. (1966): Applied Economic Forecasting. Chicago: Rand McNally.

Bliemel, F. (1973): Theil's Forecast Accuracy Coefficient: A Clarification, Journal of Marketing Research Vol. 10, No. 4 (Nov., 1973), pp. 444-446

See Also

Gini

Examples

1
2
TheilU(1:10, 2:11, type=1)
TheilU(1:10, 2:11, type=2)

Example output

[1] 0.07512486
[1] 0.1611646

DescTools documentation built on June 17, 2021, 5:12 p.m.