This function allows you to estimate the Gini coeficient

get_estimation_gini(
  data = ech::toy_ech_2018,
  variable = NULL,
  by = NULL,
  level = NULL,
  ids = NULL,
  numero = "numero",
  estrato = NULL,
  pesoano = "pesoano",
  name = "estimacion"
)

Arguments

data

ech data frame

variable

income without rental value per capita deflated

by

variable

level

household or individual

ids

upm

numero

Variable name of household id

estrato

Variable name of strata

pesoano

Variable name of weights

name

nombre

Value

table

Details

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

Examples

# \donttest{ toy_ech_2018 <- income_constant_prices(data = ech::toy_ech_2018, ipc = "R", base_month = "01", base_year = "2005")
#> Variables have been created: #> deflate_r (Deflactor regional) & #> 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, level = "h")
#> gini SE #> y_wrv_pc_d_r 0.36685 0.0155
# }