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rtip (version 1.1.1)

mip: Mean income per person

Description

Estimates the mean income per person.

Usage

mip(dataset, ipuc = "ipuc", hhcsw = "DB090", hhsize = "HX040",
  ehhs = "HX050", edi = "HX090", ci = NULL, rep = 1000,
  verbose = FALSE)

Arguments

dataset

a data.frame containing the variables.

ipuc

a character string indicating the variable name of the income per unit of consumption. Default is "ipuc".

hhcsw

a character string indicating the variable name of the household cross-sectional weight. Default is "DB090".

hhsize

a character string indicating the variable name of the household size. Default is "HX040".

ehhs

a character string indicating the variable name of the equivalised household size. Default is "HX050".

edi

a character string indicating the variable name of the equivalised disposable income (with the modified OECD scale). Default is "HX090".

ci

a scalar or vector containing the confidence level(s) of the required interval(s). Default does not calculate the confidence interval.

rep

a number to make the confidence interval using boostrap technique.

verbose

logical; if TRUE the confidence interval is plotted.

Value

The value of mean income per person.

References

B. Buhmann et al. (1988) Equivalence scales, well-being, inequality and poverty: sensitivity estimates across ten countries using the Luxembourg Income Study (LIS) database, Review of Income and Wealth, 34, 115--142.

http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:Equivalised_disposable_income

See Also

setupDataset.

Examples

Run this code
# NOT RUN {
data(eusilc2)
ATdataset <- setupDataset(eusilc2, country = "AT")
mip(ATdataset)

# }

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