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affluenceIndex (version 2.2)

boot.sd2: Bootstrap standard error 2

Description

Calculates the bootstrap standard errors.

Usage

boot.sd2(x, weight, k, alpha, nsim, boot.index = c("r.cha", "r.fgt"), gamma)

Value

se.r

the bootstrap error

summary

bootstrap summary

boot.ind

vector of bootstraped index

Arguments

x

income vector

weight

weight vector of population

k

multiple of the median income

alpha

parameter of the index: alpha > 0 for "r.cha", alpha > 1 for "r.fgt"

nsim

the number of replications

boot.index

the index for which the error is estimated

gamma

confidence level

Author

Alicja Wolny-Dominiak

Details

The function uses quantile method of calculating bootstrap confidence intervals.

References

Brzezinski M. (2010) Income affluence in Poland. Social Indicators Research, 99, pp. 285-299.

Examples

Run this code
data(affluence)
boot.sd2(affluence$income, weight = NULL, 2, 2, 10, "r.cha", 0.95)
boot.sd2(affluence$income, weight = NULL, 2, 2, 10, "r.fgt", 0.95)

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