mih: Mean income per household

In rtip: Inequality, Welfare and Poverty Indices and Curves using the EU-SILC Data

Description

Estimates the mean income per household.

Usage

mih(dataset, hhcsw = "DB090", ehhs = "HX050", edi = "HX090", ci = NULL,
  rep = 1000, verbose = FALSE)

Arguments

dataset	a data.frame containing the variables.
hhcsw	a character string indicating the variable name of the household cross-sectional weight. Default is "DB090".
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 household.

Author(s)

A. Berihuete, C.D. Ramos and M.A. Sordo

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

data(eusilc2)
ATdataset <- setupDataset(eusilc2, country = "AT")
mih(ATdataset)

rtip documentation built on May 2, 2019, 7:55 a.m.