Función para calcular la pobreza e indigencia siguiendo la metodología de línea.

calculate_poverty(base, basket, print_summary = TRUE)

Arguments

base

Base individual de uno o más períodos

basket

basket basica alimentaria y total, con la siguiente estructura: # A tibble: N x 5 region periodo CBA CBT codigo <chr> <chr> <dbl> <dbl> <dbl> 1 Cuyo 2016.3 1509. 3872. 42 2 Cuyo 2016.4 1570. 4030. 42 3 GBA 2016.3 1684. 4053. 1 . ... ..... ..... .... ...

print_summary

TRUE/FALSE, opcion para imprimir las tasas de pobreza e indigencia

Details

#'disclaimer: El script no es un producto oficial de INDEC.

Examples

#' bases <- dplyr::bind_rows(toybase_individual_2016_03,toybase_individual_2016_04)
#> Warning: Unequal factor levels: coercing to character
#> Warning: binding character and factor vector, coercing into character vector
#> Warning: binding character and factor vector, coercing into character vector
#> Warning: Unequal factor levels: coercing to character
#> Warning: binding character and factor vector, coercing into character vector
#> Warning: binding character and factor vector, coercing into character vector
#> Warning: Unequal factor levels: coercing to character
#> Warning: binding character and factor vector, coercing into character vector
#> Warning: binding character and factor vector, coercing into character vector
#> Warning: Unequal factor levels: coercing to character
#> Warning: binding character and factor vector, coercing into character vector
#> Warning: binding character and factor vector, coercing into character vector
#> Warning: Unequal factor levels: coercing to character
#> Warning: binding character and factor vector, coercing into character vector
#> Warning: binding character and factor vector, coercing into character vector
#> Warning: Unequal factor levels: coercing to character
#> Warning: binding character and factor vector, coercing into character vector
#> Warning: binding character and factor vector, coercing into character vector
base_pobreza <- calculate_poverty(base = bases, basket = canastas_reg_example,print_summary=TRUE)
#> # A tibble: 2 x 4 #> # Groups: ANO4 [1] #> ANO4 TRIMESTRE Tasa_pobreza Tasa_indigencia #> <int> <int> <dbl> <dbl> #> 1 2016 3 0.0296 0.0136 #> 2 2016 4 0.0324 0.0122