boot.sd1: Bootstrap standard error 1

In affluenceIndex: Affluence (Richness) Indices

Description

Calculates the bootstrap standard errors.

Usage

boot.sd1(x, weight,  kp, nsim, boot.index = c("r.hc", "r.is"), gamma)

Arguments

x	income vector
weight	vector of weights
kp	multiple of the median income (k) or order of quantile (p)
nsim	the number of replications
boot.index	the index for which the error is estimated
gamma	confidence level

Details

The function uses quantile method of calculating bootstrap confidence intervals.

Value

se.r	the bootstrap error
summary	bootstrap summary
boot.ind	bootstraped sample of index

Author(s)

Alicja Wolny-Dominiak

References

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

Examples

data(affluence)
affluence$weight <- rep(1, nrow(affluence))
boot.sd1(affluence$income, affluence$weight, 0.9, 10, "r.is", 0.95)
boot.sd1(affluence$income, affluence$weight, 2, 10, "r.hc", 0.95)

affluenceIndex documentation built on Jan. 5, 2022, 5:07 p.m.