This function allows you to estimate the Gini coefficient

This function allows you to estimate the Gini coefficient

get_estimation_gini(
  data = ech::toy_ech_2018,
  variable = NULL,
  by = NULL,
  level = NULL,
  ids = NULL,
  numero = "numero",
  estrato = NULL,
  pesoano = "pesoano",
  bootstrap = FALSE,
  r = NULL
)

Arguments

data

ech data frame

variable

Variable name of income without rental value per capita deflated

by

data frame column

level

is household ("h") or individual ("i").

ids

Variable name of cluster

numero

Variable name of household id

estrato

Variable name of strata

pesoano

Variable name of weights

bootstrap

Logical value

r

A number of replicas

Value

table

Details

Disclaimer: This script is not an official INE product. Aviso: El script no es un producto oficial de INE.

See also

Other estimation: get_estimation_gpg(), get_estimation_mean(), get_estimation_median(), get_estimation_qsr(), get_estimation_ratio(), get_estimation_total(), set_design()

Examples

# \donttest{
toy_ech_2018 <- income_constant_prices(data = ech::toy_ech_2018, index = "IPC", level = "R",
                                       base_month = "01", base_year = "2005")
#> Variables have been created: 
#>  	 y_pc (income per capita current prices / ingreso per capita a precios corrientes)
#>                 y_pc_d_r (income per capita deflated / ingreso per capita deflactado);
#>                 rv_d_r (rental value deflated / valor locativo deflactado);
#>                 y_wrv_d_r (income without rental value deflated / ingreso sin valor locativo deflactado) &
#>                 y_wrv_pc_d_r (income without rental value per capita deflated / ingreso sin valor locativo per capita deflactado)
get_estimation_gini(data = toy_ech_2018, variable = "y_wrv_pc_d_r", level = "i")
#>      value
#> 1 36.91149
# }