Package 'ech'

Title: Downloading and Processing Microdata from ECH-INE (Uruguay)
Description: A consistent tool for downloading ECH data, processing them and generating new indicators: poverty, education, employment, etc. All data are downloaded from the official site of the National Institute of Statistics at <https://www.gub.uy/instituto-nacional-estadistica/datos-y-estadisticas/encuestas/encuesta-continua-hogares>.
Authors: Gabriela Mathieu [aut, cre, cph] , Richard Detomasi [aut] , Tati Micheletti [ctb] , Instituto Nacional de Estadistica, Uruguay (INE) [dtc]
Maintainer: Gabriela Mathieu <[email protected]>
License: GPL-3
Version: 0.1.3
Built: 2024-11-23 04:34:26 UTC
Source: https://github.com/calcita/ech

Help Index

This function allows you to calculate age groups

Description

This function allows you to calculate age groups

Usage

age_groups(data = ech::toy_ech_2018, cut = c(0, 4, 11, 17, 24), e27 = "e27")

Arguments

data

data.frame
cut

breaks points to cut a numeric variable
e27

Variable name of age

Value

data.frame

See Also

Other demographic: household_type()

Examples

#' toy_ech_2018 <- age_groups(data = ech::toy_ech_2018, cut = c(0, 4, 11, 17, 24))

Extract compressed archives

Description

Extract compressed archives

Usage

archive_extract(archive.path = NULL, dest.path = NULL)

Arguments

archive.path

Ruta de origen del archivo comprimido
dest.path

Ruta destino del archivo descomprimido

Details

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

Value

No return value, called for side effects

See Also

Other utils: dates_ech(), ech, unlabelled(), unrarPath

This function allows you to get the Basket goods

Description

This function allows you to get the Basket goods

Usage

basket_goods(data = ech::cba_cbna_mdeo, year = NULL)

Arguments

data

data.frame with the price of the basket of goods from Montevideo, Interior or Rural region
year

the ECH year

Details

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

Value

data.frame

See Also

Other income: deflate(), income_constant_prices(), income_quantiles(), labor_income_per_capita(), labor_income_per_hour(), organize_ht11()

Examples

df <- basket_goods(data = ech::cba_cbna_mdeo, year = 2018)

This function allows you to identify activity branches

Description

This function allows you to identify activity branches

Usage

branch_ciiu(
  data = ech::toy_ech_2018,
  f72_2 = "f72_2",
  group = TRUE,
  disaggregated = FALSE
)

Arguments

data

data.frame
f72_2

Variable name of ciiu code rev.4
group

logical to define 12 or 18 categories, if FALSE code 18. Default: TRUE
disaggregated

logical to define disaggregated branches or not. Default: FALSE

Details

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

Value

data.frame

See Also

Other employment: employment_restrictions(), employment(), underemployment()

Examples

toy_ech_2018 <- branch_ciiu(data = ech::toy_ech_2018)

A dataset containing the CBA and CBNA for the Interior Urbano region

Description

A dataset containing the CBA and CBNA for the Interior Urbano region

Usage

cba_cbna_int

Format

A data frame with 234 rows and 4 variables:

fecha

date from 2001 to 2020

cba_li

CBA

cbna

CBNA

cbt_lp

CBT

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_mdeo, cba_cbna_rur, dic, ipab_base2010_int, ipab_base2010_mdeo, ipab_base2010, ipc_base2010_int, ipc_base2010_mdeo, ipc_base2010, toy_ech_2018_income, toy_ech_2018, urls_ine

A dataset containing the CBA and CBNA for the Montevideo region

Description

A dataset containing the CBA and CBNA for the Montevideo region

Usage

cba_cbna_mdeo

Format

A data frame with 234 rows and 4 variables:

fecha

date from 2001 to 2020

cba_li

CBA

cbna

CBNA

cbt_lp

CBT

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_rur, dic, ipab_base2010_int, ipab_base2010_mdeo, ipab_base2010, ipc_base2010_int, ipc_base2010_mdeo, ipc_base2010, toy_ech_2018_income, toy_ech_2018, urls_ine

A dataset containing the CBA and CBNA for the Interior Rural region

Description

A dataset containing the CBA and CBNA for the Interior Rural region

Usage

cba_cbna_rur

Format

A data frame with 234 rows and 4 variables:

fecha

date from 2001 to 2020

cba_li

CBA

cbna

CBNA

cbt_lp

CBT

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_mdeo, dic, ipab_base2010_int, ipab_base2010_mdeo, ipab_base2010, ipc_base2010_int, ipc_base2010_mdeo, ipc_base2010, toy_ech_2018_income, toy_ech_2018, urls_ine

This function allows you to organize dates

Description

This function allows you to organize dates

Usage

dates_ech(data)

Arguments

data

data frame with an 'yy' variable for the year, and a 'mm' variable for the month

Value

data.frame

See Also

Other utils: archive_extract(), ech, unlabelled(), unrarPath

This function allows you to calculate a deflator coefficient

Description

This function allows you to calculate a deflator coefficient

Usage

deflate(
  base_month = NULL,
  base_year = NULL,
  index = "IPC",
  level = "G",
  df_year = NULL
)

Arguments

base_month

baseline month
base_year

baseline year
index

IPC or IPAB
level

General index ('G'), Montevideo index ('M') or Interior index ('I')
df_year

ECH year

Details

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

Value

vector

See Also

Other income: basket_goods(), income_constant_prices(), income_quantiles(), labor_income_per_capita(), labor_income_per_hour(), organize_ht11()

A dataset containing variables names change of the ECH 2006-2018

Description

A dataset containing variables names change of the ECH 2006-2018

Usage

dic

Format

A data frame with 976 rows and 21 variables:

codigos

Code oh label

descripcion

Description of label

modulo

Module in the form 2017

obs

Observations

unidad

Level of variable household (H) individual (P) or general (G)

var06

ECH variables names 2006

var07

ECH variables names 2007

var08

ECH variables names 2008

var09

ECH variables names 2009

var10

ECH variables names 2010

var11

ECH variables names 2011

var12

ECH variables names 2012

var13

ECH variables names 2013

var14

ECH variables names 2014

var15

ECH variables names 2015

var16

ECH variables names 2016

var17

ECH variables names 2017

var18

ECH variables names 2018

var19

ECH variables names 2019

var21

ECH variables names 2021 segundo semestre

var22

ECH variables names 2022 primer semestre

...

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_mdeo, cba_cbna_rur, ipab_base2010_int, ipab_base2010_mdeo, ipab_base2010, ipc_base2010_int, ipc_base2010_mdeo, ipc_base2010, toy_ech_2018_income, toy_ech_2018, urls_ine

ech package

Description

Toolbox for Downloading and Processing Microdata from the Continuous Household Survey of Uruguay (ECH)

See the README on Github

See Also

Other utils: archive_extract(), dates_ech(), unlabelled(), unrarPath

This function allows you to calculate the variables: PEA, PET, PO, PD

Description

This function allows you to calculate the variables: PEA, PET, PO, PD

Usage

employment(data = ech::toy_ech_2018, pobpcoac = "pobpcoac")

Arguments

data

data.frame with microdata
pobpcoac

Variable name of definition of population by activity status. Default: "pobpcoac"

Details

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

Value

data.frame, tbl and tbl_df object

See Also

Other employment: branch_ciiu(), employment_restrictions(), underemployment()

Examples

toy_ech_2018 <- employment(data = ech::toy_ech_2018, pobpcoac = "pobpcoac")

This function allows you to identify workers with employment restrictions

Description

This function allows you to identify workers with employment restrictions

Usage

employment_restrictions(
  data = ech::toy_ech_2018,
  f82 = "f82",
  underemployment = "underemployment"
)

Arguments

data

data.frame
f82

Variable name of contribution to the pension fund
underemployment

Variable name of underemployment

Details

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

Value

data.frame

See Also

Other employment: branch_ciiu(), employment(), underemployment()

Examples

toy_ech_2018 <- underemployment(data = ech::toy_ech_2018)
toy_ech_2018 <- employment_restrictions(data = toy_ech_2018)

This function allows you to calculate the people enrolled in school

Description

This function allows you to calculate the people enrolled in school

Usage

enrolled_school(
  data = ech::toy_ech_2018,
  e27 = "e27",
  e193 = "e193",
  e197 = "e197",
  e201 = "e201",
  e212 = "e212",
  e215 = "e215",
  e218 = "e218",
  e221 = "e221",
  e224 = "e224"
)

Arguments

data

data.frame with necessary variables Defaults to ech.
e27

Variable name of age
e193

Variable name of attendance school
e197

Variable name of attendance primary
e201

Variable name of attendance secondary
e212

Variable name of attendance technical school (non-university)
e215

Variable name of attendance magisterio
e218

Variable name of attendance university
e221

Variable name of attendance tertiary
e224

Variable name of attendance postgrade

Details

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

Value

data.frame

See Also

Other education: level_completion(), level_education(), organize_educ(), years_of_schooling()

Examples

toy_ech_2018 <- enrolled_school(data = ech::toy_ech_2018)

This function allows you to estimate the Gini coefficient

Description

This function allows you to estimate the Gini coefficient

Usage

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

Details

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

Value

table

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

toy_ech_2018 <- income_constant_prices(data = ech::toy_ech_2018, index = "IPC", level = "R",
                                       base_month = "01", base_year = "2005")
get_estimation_gini(data = toy_ech_2018, variable = "y_wrv_pc_d_r", level = "i")

This function allows you to estimate the Gender Pay Wage Gap (GPG)

Description

This function allows you to estimate the Gender Pay Wage Gap (GPG)

Usage

get_estimation_gpg(
  data = ech::toy_ech_2018,
  variable = "total_income_per_hour",
  e26 = "e26",
  by = NULL,
  ids = NULL,
  estrato = NULL,
  pesoano = "pesoano",
  stat = "media"
)

Arguments

data

data.frame
variable

Variable name of total income per hour
e26

Variable name of sex
by

data frame column
ids

Variable name of cluster
estrato

Variable name of strata
pesoano

Variable name of weights
stat

Media or Median

Value

table

See Also

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

Examples

toy_ech_2018 <- labor_income_per_hour(data = ech::toy_ech_2018, base_month = 6, base_year = 2018)
get_estimation_gpg(data = toy_ech_2018, variable = "total_income_per_hour", e26 = "e26")

This function allows you to estimate mean variable at universe level.

Description

This function allows you to estimate mean variable at universe level.

Usage

get_estimation_mean(
  data = ech::toy_ech_2018,
  variable = NULL,
  by.x = NULL,
  by.y = NULL,
  domain = NULL,
  level = NULL,
  ids = NULL,
  numero = "numero",
  estrato = NULL,
  pesoano = "pesoano",
  name = "estimacion"
)

Arguments

data

data frame with ECH microdata
variable

data frame column to estimate
by.x

data frame column
by.y

data frame column
domain

subpopulation reference setted as character expresion of logical evaluation
level

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

ids
numero

household id
estrato

strata
pesoano

weights
name

name for the estimation new column

Details

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

Value

table

See Also

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

Examples

get_estimation_mean(data = ech::toy_ech_2018, variable = "pobre06", by.x = "dpto", level = "h")

This function allows you to estimate median variable at universe level.

Description

This function allows you to estimate median variable at universe level.

Usage

get_estimation_median(
  data = ech::toy_ech_2018,
  variable = NULL,
  by.x = NULL,
  by.y = NULL,
  domain = NULL,
  level = NULL,
  ids = NULL,
  numero = "numero",
  estrato = NULL,
  pesoano = "pesoano",
  name = "estimacion"
)

Arguments

data

data frame with ECH microdata
variable

data frame column to estimate
by.x

data frame column
by.y

data frame column
domain

subpopulation reference setted as character expresion of logical evaluation
level

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

ids
numero

household id
estrato

strata
pesoano

weights
name

name for the estimation new column

Details

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

Value

table

See Also

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

Examples

get_estimation_median(data = ech::toy_ech_2018, variable = "ht11", by.x = "dpto", level = "h")

This function allows you to estimate de Income Quintile Share Ratio

Description

This function allows you to estimate de Income Quintile Share Ratio

Usage

get_estimation_qsr(
  data = ech::toy_ech_2018,
  variable = "y_pc_d_r",
  by = NULL,
  ids = NULL,
  estrato = NULL,
  pesoano = "pesoano"
)

Arguments

data

data.frame
variable

Variable name of total income per hour
by

data frame column
ids

Variable name of cluster
estrato

Variable name of strata
pesoano

Variable name of weights

Value

table

See Also

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

Examples

toy_ech_2018 <- income_constant_prices(data = ech::toy_ech_2018, index = "IPC", level = "R",
                                       base_month = "01", base_year = "2005")
get_estimation_qsr(data = toy_ech_2018, variable = "y_pc_d_r", pesoano = "pesoano")

This function allows you to estimate ratio variables at universe level.

Description

This function allows you to estimate ratio variables at universe level.

Usage

get_estimation_ratio(
  data = ech::toy_ech_2018,
  variable.x = NULL,
  variable.y = NULL,
  by.x = NULL,
  by.y = NULL,
  domain = NULL,
  level = NULL,
  ids = NULL,
  numero = "numero",
  estrato = NULL,
  pesoano = "pesoano",
  name = "estimacion"
)

Arguments

data

data frame with ECH microdata
variable.x

data frame column to estimate
variable.y

data frame column to estimate
by.x

data frame column
by.y

data frame column
domain

subpopulation reference setted as character expresion of logical evaluation
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
name

name for the estimation new column

Details

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

Value

table

See Also

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

Examples

toy_ech_2018 <- employment(data = ech::toy_ech_2018, pobpcoac = "pobpcoac")
get_estimation_ratio(data = toy_ech_2018, variable.x = "po", variable.y = "pea", level = "i")

This function allows you to estimate total variable at universe level.

Description

This function allows you to estimate total variable at universe level.

Usage

get_estimation_total(
  data = ech::toy_ech_2018,
  variable = NULL,
  by.x = NULL,
  by.y = NULL,
  domain = NULL,
  level = NULL,
  ids = NULL,
  numero = "numero",
  estrato = NULL,
  pesoano = "pesoano",
  name = "estimacion"
)

Arguments

data

data frame with ECH microdata
variable

data frame column to estimate
by.x

data frame column
by.y

data frame column
domain

subpopulation reference setted as character expresion of logical evaluation
level

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

ids
numero

household id
estrato

strata
pesoano

weights
name

name for the estimation new column

Details

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

Value

table

See Also

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

Examples

get_estimation_total(variable = "pobre06", by.x = "dpto", level = "h")

This function allows you to download and read ECH from INE website

Description

This function allows you to download and read ECH from INE website

Usage

get_microdata(year = NULL, folder = tempdir(), toR = TRUE)

Arguments

year

allows download data from 2011 to 2019. Default the last year
folder

Folder where are the files or be download
toR

write data frame in R format and delete download file and unpack files

Details

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

Value

unrar files from INE web and the respective data frame in tibble format

See Also

Other dwnld_read: read_microdata()

This function allows you to calculate the household type for each household in the survey. A household is composed of one or more people who occupy a housing unit.

Description

This function allows you to calculate the household type for each household in the survey. A household is composed of one or more people who occupy a housing unit.

Usage

household_type(
  data = ech::toy_ech_2018,
  numero = "numero",
  e26 = "e26",
  e27 = "e27",
  e30 = "e30"
)

Arguments

data

data frame with ECH microdata
numero

Variable name of household id
e26

Variable name of sex
e27

Variable name of age
e30

Variable name of householder

Details

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

Value

data.frame

See Also

Other demographic: age_groups()

Examples

toy_ech_2018 <- household_type(data = ech::toy_ech_2018)

This function allows you to calculate the housing conditions

Description

This function allows you to calculate the housing conditions

Usage

housing_conditions(data = ech::toy_ech_2018, c2 = "c2", c3 = "c3", c4 = "c4")

Arguments

data

data.frame
c2

Variable name of predominant material on external walls
c3

Variable name of predominant roofing material
c4

Variable name of predominant flooring material

Details

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

Value

data.frame

See Also

Other dwelling: housing_deprivation(), housing_situation(), housing_tenure(), overcrowding()

Examples

toy_ech_2018 <- housing_conditions(data = ech::toy_ech_2018)

This function allows you to calculate the housing status

Description

This function allows you to calculate the housing status

Usage

housing_deprivation(
  data = ech::toy_ech_2018,
  n = 1,
  ht19 = "ht19",
  d9 = "d9",
  d10 = "d10",
  d11 = "d11",
  d12 = "d12",
  d13 = "d13",
  d16 = "d16",
  d18 = "d18",
  d19 = "d19",
  c2 = "c2",
  c3 = "c3",
  c4 = "c4",
  quintil = "quintil",
  region_4 = "region_4"
)

Arguments

data

data.frame
n

number of deprivations to consider. Default 1
ht19

Variable name of number of individuals in the household
d9

Variable name of number of rooms
d10

Variable name of number of rooms to sleep
d11

Variable name of principal source of potable water
d12

Variable name of water supply network / water access
d13

Variable name of sanitary facilities
d16

Variable name of sewerage facilities
d18

Variable name of energy source for lighting
d19

Variable name of cooking space
c2

Variable name of predominant material on external walls
c3

Variable name of predominant roofing material
c4

Variable name of predominant flooring material
quintil

Variable name of income quintil
region_4

Variable name of region

Details

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

Value

data.frame

See Also

Other dwelling: housing_conditions(), housing_situation(), housing_tenure(), overcrowding()

Examples

toy_ech_2018 <- income_constant_prices(data = ech::toy_ech_2018)
toy_ech_2018 <- income_quantiles(data = toy_ech_2018)
toy_ech_2018 <- housing_deprivation(data = toy_ech_2018)

This function allows you to calculate the housing situation

Description

This function allows you to calculate the housing situation

Usage

housing_situation(
  data = ech::toy_ech_2018,
  c5_1 = "c5_1",
  c5_2 = "c5_2",
  c5_3 = "c5_3",
  c5_4 = "c5_4",
  c5_5 = "c5_5",
  c5_6 = "c5_6",
  c5_7 = "c5_7",
  c5_8 = "c5_8",
  c5_9 = "c5_9",
  c5_10 = "c5_10",
  c5_11 = "c5_11",
  c5_12 = "c5_12"
)

Arguments

data

data.frame
c5_1

Variable name of roof condensation
c5_2

Variable name of roof drips
c5_3

Variable name of walls cracks
c5_4

Variable name of broken doors or windows
c5_5

Variable name of floors cracks
c5_6

Variable name of plaster drop on walls
c5_7

Variable name of detached ceilings
c5_8

Variable name of poor sunlight
c5_9

Variable name of poor ventilation
c5_10

Variable name of floods when it rains
c5_11

Variable name of in danger of collapse
c5_12

Variable name of dampness in the foundations

Details

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

Value

data.frame

See Also

Other dwelling: housing_conditions(), housing_deprivation(), housing_tenure(), overcrowding()

Examples

toy_ech_2018 <- housing_situation(data = ech::toy_ech_2018)

This function allows you to calculate the housing tenure

Description

This function allows you to calculate the housing tenure

Usage

housing_tenure(data = ech::toy_ech_2018, d8_1 = "d8_1")

Arguments

data

data.frame
d8_1

Variable name of housing_tenure (owner, renter, rent-free occupancy, etc.)

Details

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

Value

data.frame

See Also

Other dwelling: housing_conditions(), housing_deprivation(), housing_situation(), overcrowding()

Examples

toy_ech_2018 <- housing_tenure(data = ech::toy_ech_2018)

This function allows you to calculate the household income constant prices

Description

This function allows you to calculate the household income constant prices

Usage

income_constant_prices(
  data = ech::toy_ech_2018,
  base_month = 6,
  base_year = 2018,
  index = "IPC",
  level = "G",
  mes = "mes",
  ht11 = "ht11",
  ht13 = "ht13",
  ht19 = "ht19"
)

Arguments

data

data.frame with ECH microdata
base_month

baseline month
base_year

baseline year
index

IPC or IPAB
level

General ("G") or Regional ("R")
mes

month
ht11

Variable name of income. Default: ht11
ht13

Variable name of rental value. Default: ht13
ht19

Variable name of number of individuals in the household. Default: ht19

Details

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

Value

data.frame

See Also

Other income: basket_goods(), deflate(), income_quantiles(), labor_income_per_capita(), labor_income_per_hour(), organize_ht11()

Examples

toy_ech_2018 <- income_constant_prices(data = ech::toy_ech_2018)

This function allows you to calculate the Household Income Quantiles

Description

This function allows you to calculate the Household Income Quantiles

Usage

income_quantiles(
  data = ech::toy_ech_2018,
  quantile = 5,
  weights = "pesoano",
  income = "y_pc_d"
)

Arguments

data

data.frame
quantile

Variable name of quintil (5) or decil (10). Default: 5
weights

Variable name of ponderation variable. Default: "pesoano"
income

Variable name of income constant price. Default: "y_pc_d"

Details

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

Value

data.frame

See Also

Other income: basket_goods(), deflate(), income_constant_prices(), labor_income_per_capita(), labor_income_per_hour(), organize_ht11()

Examples

toy_ech_2018 <- income_constant_prices(data = ech::toy_ech_2018)
toy_ech_2018 <- income_quantiles(data = toy_ech_2018)

This function allows you to calculate an integrated poverty measure

Description

This function allows you to calculate an integrated poverty measure

Usage

integrated_poverty_measure(
  data = ech::toy_ech_2018,
  pobre06 = "pobre06",
  UBN_q = "UBN_q"
)

Arguments

data

data.frame
pobre06

Variable name of poverty
UBN_q

Variable name of UBN

Value

data.frame

See Also

Other poverty: poverty(), unsatisfied_basic_needs()

Examples

toy_ech_18 <- enrolled_school(data = ech::toy_ech_2018)
toy_ech_18 <- years_of_schooling(toy_ech_18)
toy_ech_18 <- unsatisfied_basic_needs(toy_ech_18)
toy_ech_18 <- integrated_poverty_measure(data = toy_ech_18)

A dataset containing the IPAB

Description

A dataset containing the IPAB

Usage

ipab_base2010

Format

A data frame with 286 rows and 2 variables:

fecha

date from 1997 to 2020

indice

IPAB

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_mdeo, cba_cbna_rur, dic, ipab_base2010_int, ipab_base2010_mdeo, ipc_base2010_int, ipc_base2010_mdeo, ipc_base2010, toy_ech_2018_income, toy_ech_2018, urls_ine

A dataset containing the IPAB for the Interior region

Description

A dataset containing the IPAB for the Interior region

Usage

ipab_base2010_int

Format

A data frame with 108 rows and 2 variables:

fecha

date from 2011 to 2019

indice

IPAB

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_mdeo, cba_cbna_rur, dic, ipab_base2010_mdeo, ipab_base2010, ipc_base2010_int, ipc_base2010_mdeo, ipc_base2010, toy_ech_2018_income, toy_ech_2018, urls_ine

A dataset containing the IPAB for the Montevideo region

Description

A dataset containing the IPAB for the Montevideo region

Usage

ipab_base2010_mdeo

Format

A data frame with 108 rows and 2 variables:

fecha

date from 2011 to 2019

indice

IPAB

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_mdeo, cba_cbna_rur, dic, ipab_base2010_int, ipab_base2010, ipc_base2010_int, ipc_base2010_mdeo, ipc_base2010, toy_ech_2018_income, toy_ech_2018, urls_ine

A dataset containing the IPC base 2010

Description

A dataset containing the IPC base 2010

Usage

ipc_base2010

Format

A data frame with 990 rows and 5 variables:

fecha

date from 1937 to 2019

indice

IPC

mensual

mensual value of IPC

trimestre

three-month period value of IPC

cuatrimestre

four-month period value of IPC

semestre

six-month period value of IPC

acum_ano

acumulated IPC

acum_12_meses

acumulated IPC last 12 month

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_mdeo, cba_cbna_rur, dic, ipab_base2010_int, ipab_base2010_mdeo, ipab_base2010, ipc_base2010_int, ipc_base2010_mdeo, toy_ech_2018_income, toy_ech_2018, urls_ine

A dataset containing the IPC base 2010 only for the Interior region

Description

A dataset containing the IPC base 2010 only for the Interior region

Usage

ipc_base2010_int

Format

A data frame with 120 rows and 2 variables:

fecha

date from 2011 to 2019

indice

IPC

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_mdeo, cba_cbna_rur, dic, ipab_base2010_int, ipab_base2010_mdeo, ipab_base2010, ipc_base2010_mdeo, ipc_base2010, toy_ech_2018_income, toy_ech_2018, urls_ine

A dataset containing the IPC base 2010 only for the Montevideo region

Description

A dataset containing the IPC base 2010 only for the Montevideo region

Usage

ipc_base2010_mdeo

Format

A data frame with 120 rows and 2 variables:

fecha

date from 2011 to 2019

indice

IPC

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_mdeo, cba_cbna_rur, dic, ipab_base2010_int, ipab_base2010_mdeo, ipab_base2010, ipc_base2010_int, ipc_base2010, toy_ech_2018_income, toy_ech_2018, urls_ine

This function allows you to calculate the labor income per capita

Description

This function allows you to calculate the labor income per capita

Usage

labor_income_per_capita(
  data = ech::toy_ech_2018,
  numero = "numero",
  pobpcoac = "pobpcoac",
  g126_1 = "g126_1",
  g126_2 = "g126_2",
  g126_3 = "g126_3",
  g126_4 = "g126_4",
  g126_5 = "g126_5",
  g126_6 = "g126_6",
  g126_7 = "g126_7",
  g126_8 = "g126_8",
  g127_3 = "g127_3",
  g128_1 = "g128_1",
  g129_2 = "g129_2",
  g130_1 = "g130_1",
  g131_1 = "g131_1",
  g133_1 = "g133_1",
  g133_2 = "g133_2",
  g134_1 = "g134_1",
  g134_2 = "g134_2",
  g134_3 = "g134_3",
  g134_4 = "g134_4",
  g134_5 = "g134_5",
  g134_6 = "g134_6",
  g134_7 = "g134_7",
  g134_8 = "g134_8",
  g135_3 = "g135_3",
  g136_1 = "g136_1",
  g137_2 = "g137_2",
  g138_1 = "g138_1",
  g139_1 = "g139_1",
  g141_1 = "g141_1",
  g141_2 = "g141_2",
  g142 = "g142",
  g144_1 = "g144_1",
  g144_2_1 = "g144_2_1",
  g144_2_3 = "g144_2_3",
  g144_2_4 = "g144_2_4",
  g144_2_5 = "g144_2_5"
)

Arguments

data

data frame
numero

Variable name of household id
pobpcoac

Variable name of definition of population by activity status
g126_1

Variable name of net salary
g126_2

Variable name of commissions, incentives, overtime payment, fringe benefits
g126_3

Variable name of non-surrendering expenses
g126_4

Variable name of tips
g126_5

Variable name of annual complementary salary
g126_6

Variable name of vacation pay
g126_7

Variable name of delayed payments
g126_8

Variable name of transportation tickets
g127_3

Variable name of received food or drink
g128_1

Variable name of received food tickets
g129_2

Variable name of received housing or accommodation
g130_1

Variable name of another type of compensation
g131_1

Variable name of received another type of supplement paid by the employer
g133_1

Variable name of the right to cultivate goods for own-consumption
g133_2

Variable name of the right to cultivate goods for own-consumption (amount received from the sale)
g134_1

Variable name of net salary
g134_2

Variable name of commissions, incentives, overtime payment, fringe benefits
g134_3

Variable name of non-surrendering expenses
g134_4

Variable name of tips
g134_5

Variable name of annual complementary salary
g134_6

Variable name of vacation pay
g134_7

Variable name of delayed payments
g134_8

Variable name of transportation tickets
g135_3

Variable name of received food or drink
g136_1

Variable name of received food tickets
g137_2

Variable name of received housing or accommodation
g138_1

Variable name of another type of compensation
g139_1

Variable name of received another type of supplement paid by the employer
g141_1

Variable name of the right to cultivate goods for own-consumption
g141_2

Variable name of the right to cultivate goods for own-consumption (amount received from the sale)
g142

Variable name of withdrawals for business household expenses you have or had
g144_1

Variable name of collected products for own consumption (non-agricultural worker)
g144_2_1

Variable name of collected products for own consumption (non-agricultural worker)
g144_2_3

Variable name of collected products for own consumption (non-agricultural worker)
g144_2_4

Variable name of collected products for own consumption (non-agricultural worker)
g144_2_5

Variable name of collected products for own consumption (non-agricultural worker)

Details

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

Value

data.frame

See Also

Other income: basket_goods(), deflate(), income_constant_prices(), income_quantiles(), labor_income_per_hour(), organize_ht11()

Examples

toy_ech_2018 <- labor_income_per_capita(data = ech::toy_ech_2018)

This function allows you to calculate the labor income per hour

Description

This function allows you to calculate the labor income per hour

Usage

labor_income_per_hour(
  data = ech::toy_ech_2018,
  numero = "numero",
  f85 = "f85",
  pobpcoac = "pobpcoac",
  pt4 = "pt4",
  base_month = 6,
  base_year = 2018,
  mes = "mes"
)

Arguments

data

data frame
numero

Variable name of household id
f85

Variable name of hours worked per week
pobpcoac

Variable name of definition of population by activity status
pt4

Variable name of total employment income
base_month

baseline month
base_year

baseline year
mes

month

Details

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

Value

data.frame

See Also

Other income: basket_goods(), deflate(), income_constant_prices(), income_quantiles(), labor_income_per_capita(), organize_ht11()

Examples

toy_ech_2018 <- ech::toy_ech_2018
toy_ech_2018 <- labor_income_per_hour(data = toy_ech_2018, base_month = "06", base_year = "2018")

This function allows you to calculate the level of school completion

Description

This function allows you to calculate the level of school completion

Usage

level_completion(
  data = ech::toy_ech_2018,
  e197 = "e197",
  e197_1 = "e197_1",
  e201 = "e201",
  e51_4 = "e51_4",
  e51_5 = "e51_5",
  e51_6 = "e51_6",
  e51_7_1 = "e51_7_1",
  e51_7 = "e51_7",
  e51_8 = "e51_8",
  e51_9 = "e51_9",
  e51_10 = "e51_10",
  e212 = "e212",
  e215 = "e215",
  e218 = "e218",
  e221 = "e221",
  n = 4
)

Arguments

data

data.frame
e197

Variable name of attends primary school
e197_1

Variable name of completed primary
e201

Variable name of attends secondary
e51_4

Variable name of years passed in lower secondary
e51_5

Variable name of years passed in upper secondary
e51_6

Variable name of years passed in technical upper secondary
e51_7_1

Variable name of technical education requirements
e51_7

Variable name of years passed in technical education
e51_8

Variable name of years passed in magisterio/profesorado
e51_9

Variable name of years passed in university or similar
e51_10

Variable name of years passed in tertiary (non-university)
e212

Variable name of attendance technical school (non-university)
e215

Variable name of attendance magisterio
e218

Variable name of attendance university
e221

Variable name of attendance tertiary
n

years of tertiary

Details

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

Value

data.frame

See Also

Other education: enrolled_school(), level_education(), organize_educ(), years_of_schooling()

Examples

toy_ech_2018 <- level_completion(data = ech::toy_ech_2018)

This function allows you to calculate the highest level of education achieved

Description

This function allows you to calculate the highest level of education achieved

Usage

level_education(
  data = ech::toy_ech_2018,
  e51_2 = "e51_2",
  e51_3 = "e51_3",
  e51_4 = "e51_4",
  e51_5 = "e51_5",
  e51_6 = "e51_6",
  e51_7 = "e51_7",
  e51_7_1 = "e51_7_1",
  e51_8 = "e51_8",
  e51_9 = "e51_9",
  e51_10 = "e51_10",
  e51_11 = "e51_11",
  e193 = "e193",
  e49 = "e49"
)

Arguments

data

data.frame
e51_2

Variable name of years passed in primary
e51_3

Variable name of years passed in special primary
e51_4

Variable name of years passed in lower secondary
e51_5

Variable name of years passed in upper secondary
e51_6

Variable name of years passed in technical upper secondary
e51_7

Variable name of years passed in technical school
e51_7_1

Variable name of technical school requirements
e51_8

Variable name of years passed in magisterio/profesorado
e51_9

Variable name of years passed in university or similar
e51_10

Variable name of years passed in tertiary (non-university)
e51_11

Variable name of years passed in postgrade
e193

Variable name of attendance school
e49

Variable name of attendance school ever

Details

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

Value

data.frame

See Also

Other education: enrolled_school(), level_completion(), organize_educ(), years_of_schooling()

Examples

toy_ech_2018 <- level_education(data = ech::toy_ech_2018)

This function allows you to fix education variables from 2021

Description

This function allows you to fix education variables from 2021

Usage

organize_educ(data, year, e49 = "e49", e579 = "e579", numero = "numero")

Arguments

data

data.frame
year

survey year
e49

Variable name of e49
e579

Variable name of e579
numero

Variable name of numero

Value

data.frame

See Also

Other education: enrolled_school(), level_completion(), level_education(), years_of_schooling()

This function allows you to fix ht11 from 2013 to 2015

Description

This function allows you to fix ht11 from 2013 to 2015

Usage

organize_ht11(data, year, ht11 = "ht11", numero = "numero")

Arguments

data

data.frame
year

survey year
ht11

Variable name of ht11
numero

Variable name of numero

Value

data.frame

See Also

Other income: basket_goods(), deflate(), income_constant_prices(), income_quantiles(), labor_income_per_capita(), labor_income_per_hour()

Examples

toy_ech_2018 <- organize_ht11(data = ech::toy_ech_2018, year = 2018)

This function allows you to organize the variables names of ECH with reference in 2017.

Description

This function allows you to organize the variables names of ECH with reference in 2017.

Usage

organize_names(data, year, level = "hyp")

Arguments

data

data.frame contains the ECH microdata
year

numeric reference year of the data. Available from 2011 to 2019
level

(string) indicates whether the base to be labelled is of the type "household", "h", "individual", "i" or both, "hyp". Default "hyp"

Details

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

Value

data.frame

See Also

Other organize: to_ascii()

Examples

toy_ech_2018 <- organize_names(data = ech::toy_ech_2018, year = 2018, level = "h")

This function allows you to calculate overcrowding in the household

Description

This function allows you to calculate overcrowding in the household

Usage

overcrowding(data = ech::toy_ech_2018, ht19 = "ht19", d10 = "d10")

Arguments

data

data.frame
ht19

Variable name of umber of individuals in the household
d10

Variable name of number of rooms to sleep

Details

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

Value

data.frame

See Also

Other dwelling: housing_conditions(), housing_deprivation(), housing_situation(), housing_tenure()

Examples

toy_ech_2018 <- overcrowding(data = ech::toy_ech_2018)

This function allows you to calculate poor and indigent people or household

Description

This function allows you to calculate poor and indigent people or household

Usage

poverty(
  data = ech::toy_ech_2018,
  scale = 0.8,
  region_4 = "region_4",
  dpto = "dpto",
  ht11 = "ht11",
  ht19 = "ht19",
  numero = "numero"
)

Arguments

data

data.frame
scale

equivalency scale
region_4

Variable name of region. Default: region_4
dpto

Variable name of departamento. Default: dpto
ht11

Variable name of income. Default: ht11
ht19

Variable name of number of individuals in the household. Default: ht19
numero

household id

Details

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

Value

data.frame

See Also

Other poverty: integrated_poverty_measure(), unsatisfied_basic_needs()

Examples

toy_ech_2018 <- poverty(data = ech::toy_ech_2018)

This function allows you to read ECH from a local folder

Description

This function allows you to read ECH from a local folder

Usage

read_microdata(path = NULL)

Arguments

path

Folder where are the files or be download

Details

Disclaimer: El script no es un producto oficial de INE.

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

Value

an object called df

See Also

Other dwnld_read: get_microdata()

This function allows you to set the survey desing

Description

This function allows you to set the survey desing

Usage

set_design(
  data = ech::toy_ech_2018,
  level = "i",
  numero = "numero",
  ids = NULL,
  estrato = NULL,
  pesoano = "pesoano"
)

Arguments

data

data frame with ECH microdata
level

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

variables specifying the householder ids
ids

variables specifying the unit primary sampling (it's not a public variable)
estrato

variable specifying strata
pesoano

variable specifying weights

Details

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

Value

a list

See Also

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

Examples

set_design(data = ech::toy_ech_2018, level = "h")

to_ascii

Description

to_ascii

Usage

to_ascii(x, upper = TRUE)

Arguments

x

a column
upper

logic. Default TRUE

Value

vector

See Also

Other organize: organize_names()

Examples

d <- lapply(dic, to_ascii)

A dataset containing only 1000 raws of the ECH 2018

Description

A dataset containing only 1000 raws of the ECH 2018

Usage

toy_ech_2018

Format

A data frame with 1000 rows and 579 variables:

numero

household id

nper
anio
mes
dpto
nomdpto
secc
segm
loc_agr_13
nom_loc_agr_13
ccz
barrio
nombarrio
estred13
region_3
region_4
pesoano
pesotri
pesomen
c1
c2
c3
c4
c5_1
c5_2
c5_3
c5_4
c5_5
c5_6
c5_7
c5_8
c5_9
c5_10
c5_11
c5_12
c6
d8_1
d8_2
d8_3
d8_4
d9
d10
d11
d12
d13
d14
d15
d16
d18
d260
d19
d20
d21_1
d21_2
d21_3
d21_4
d21_4_1
d21_5
d21_5_1
d21_6
d21_20
d21_7
d21_8
d21_9
d21_10
d21_11
d21_12
d21_13
d21_14
d21_14_1
d21_15
d21_15_1
d21_15_2
d21_15_3
d21_15_4
d21_15_5
d21_15_6
d21_16
d21_16_1
d21_16_2
d21_17
d21_18
d21_18_1
d21_19
d21_19_1
d181
d229
d230
d231
d232
d184
d184_1
d23
d24
d25
h155
h155_1
h156
h156_1
h252
h252_1
h158_1
h158_2
h159
h160
h160_1
h160_2
h161
h162
h163_1
h163_2
h164
h165
h227
h166
h269
h269_1
h167_1
h167_1_1
h167_1_2
h167_2
h167_2_1
h167_2_2
h167_3
h167_3_1
h167_3_2
h167_4
h167_4_1
h167_4_2
h169
h170_1
h170_2
h271
h271_1
h171
h171_1
h171_2
h172
h172_1
h173
h173_1
i228
i174
i259
i175
ht1
ht2
ht3
ht4
ht5
ht6
ht7
ht8
ht9
ht10
ht11
ht13
ht14
ht19
yhog
ysvl
lp_06
li_06
e557
e558
e26
e27
e29_1
e29_2
e29_3
e29_4
e29_5
e29_5_1
e29_6
e30
e31
e32
e33
e34
e35
e36
e185
e186_1
e186_2
e186_3
e186_4
e37
e37_2
e234_2
e38
e38_1
e39
e39_2
e235_2
e236
e236_2
e236_4
e45_1
e45_1_1
e45_1_1_1
e45_1_2
e45_1_2_1
e45_2
e45_2_1
e45_2_1_1
e45_2_2
e45_2_2_1
e45_3
e45_3_1
e45_3_1_1
e45_3_2
e45_3_2_1
e45_4
e45_4_1
e45_4_2
e45_4_3
e45_4_3_1
e45_5
e45_5_1
e45_5_1_1
e45_6
e45_7
e45_7_1
e237
e46
e47
e47_1
e190
e190_1
e190_1_1
e190_2
e190_2_1
e190_3
e190_3_1
e191
e192
e48
e49
e238
e239
e240_1
e240_2
e241
e242
e242_1
e193
e194
e243_1
e243_2
e244
e245
e245_1
e196
e196_1
e196_2
e196_3
e197
e197_1
e51_2
e51_3
e198
e199
e200
e200_1
e200_2
e200_3
e201
e201_1
e202_1
e202_2
e202_3
e202_4
e202_8
e202_5
e202_6
e202_6_1
e202_7
e51_4
e210_1
e51_5
e210_2
e51_6
e209_1
e210_3
e211
e211_1
e211_2
e211_3
e562
e212
e212_1
e213
e51_7
e51_7_1
e214_1
e215
e215_1
e216
e51_8
e217_1
e218
e218_1
e219
e51_9
e220_1
e221
e221_1
e222
e51_10
e223_1
e224
e224_1
e225
e51_11
e226_1
e559
e559_1
e559_2
e560
e560_1
e560_1_1
e560_2
e560_2_1
e561
e561_1
e59
e246
e246_1
e247
e60
e61
e248
e62
e249
e250
e64_1
e64_2
e64_3
e64_4
e64_5
e64_6
e64_7
e65
f66
f67
f261
f68
f69
f70
f71_2
f72_2
f73
f74
f75
f76_2
f262
f263
f264
f264_1
f265
f265_1
f77
f78
f79
f79_1
f80
f80_2
f81
f82
f83
f84
f266
f267
f268
f85
f86
f87
f88_1
f88_2
f89
f90_2
f91_2
f92
f93
f94
f94_2
f95
f96
f97
f98
f99
f100
f101
f102
f103
f104
f105
f106
f107
f108
f109
f110
f111
f112
f113
f114
f115
f116
f117
f118_1
f118_2
f119_2
f120_2
f121
f122
f123
f124_1
f124_2
f124_3
f124_4
f124_5
f125
g_id_1
g_id_2
g_id_3
g_id_1a
g_id_2a
g_id_3a
g126_1
g126_2
g126_3
g126_4
g126_5
g126_6
g126_7
g126_8
g250_1
g250_2
g250_5
g250_3
g250_4
g127
g127_1
g127_2
g127_3
g128
g128_1
g129
g129_1
g129_2
g130
g130_1
g131
g131_1
g132
g132_1
g132_2
g132_3
g133
g133_1
g133_2
g_st_1
g134_1
g134_2
g134_3
g134_4
g134_5
g134_6
g134_7
g134_8
g251_1
g251_2
g251_3
g251_4
g251_5
g135
g135_1
g135_2
g135_3
g136
g136_1
g137
g137_1
g137_2
g138
g138_1
g139
g139_1
g140
g140_1
g140_2
g140_3
g141
g141_1
g141_2
g_itnd_1
g142
g_itnd_2
g143
g144
g144_1
g144_2_1
g144_2_2
g144_2_3
g144_2_4
g144_2_5
g_itnd_3
g145
g146
g147
g_it_1
g148_1_1
g148_1_2
g148_1_3
g148_1_4
g148_1_5
g148_1_6
g148_1_7
g148_1_8
g148_1_9
g148_1_12
g148_1_10
g148_1_11
g_it_2
g148_2_1
g148_2_2
g148_2_3
g148_2_4
g148_2_5
g148_2_6
g148_2_7
g148_2_8
g148_2_9
g148_2_12
g148_2_10
g148_2_11
g148_3
g148_4
g148_5_1
g148_5_2
g149
g149_1
g150
g255
g256
g152
g151_5
g151_1
g151_2
g151_3
g151_3_1
g151_4
g257
g153
g153_1
g153_2
g258
g258_1
g154
g154_1
pobpcoac
subempleo
mto_cuota
mto_emer
mto_hogcon
mto_desay
mto_almue
mto_vacas
mto_oveja
mto_caball
lecheenpol
indaceliac
indaucc
indaemer
pt1
pt2
pt4
pobre06
indigente06
upm_id
estrato

...

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_mdeo, cba_cbna_rur, dic, ipab_base2010_int, ipab_base2010_mdeo, ipab_base2010, ipc_base2010_int, ipc_base2010_mdeo, ipc_base2010, toy_ech_2018_income, urls_ine

A dataset containing only 1000 raws of the ECH 2018 income variables

Description

A dataset containing only 1000 raws of the ECH 2018 income variables

Usage

toy_ech_2018_income

Format

A data frame with 1000 rows and 9 variables:

numero

household id

mes
ht11
ysvl
ht13
ht19
dpto
pesoano
estred13
anio
region_4

...

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_mdeo, cba_cbna_rur, dic, ipab_base2010_int, ipab_base2010_mdeo, ipab_base2010, ipc_base2010_int, ipc_base2010_mdeo, ipc_base2010, toy_ech_2018, urls_ine

This function allows you to identify underemployed people

Description

This function allows you to identify underemployed people

Usage

underemployment(
  data = ech::toy_ech_2018,
  pobpcoac = "pobpcoac",
  f85 = "f85",
  f98 = "f98",
  f101 = "f101",
  f102 = "f102",
  f103 = "f103",
  f104 = "f104"
)

Arguments

data

data.frame
pobpcoac

Variable name of definition of population by activity status. Default: "pobpcoac"
f85

Variable name of number of hours worked in the main job
f98

Variable name of Number of hours worked at the secondary job
f101

Variable name of reasons why you want another job
f102

Variable name of want to work more hours
f103

Variable name of are available to work more hours at this time
f104

Variable name of reasons why you dont work more hours

Details

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

Value

data.frame

See Also

Other employment: branch_ciiu(), employment_restrictions(), employment()

Examples

toy_ech_2018 <- underemployment(data = ech::toy_ech_2018)

This function allows you to labelled variables

Description

This function allows you to labelled variables

Usage

unlabelled(data = NULL)

Arguments

data

data frame

Value

data.frame

See Also

Other utils: archive_extract(), dates_ech(), ech, unrarPath

Examples

df <- unlabelled(data = ech::toy_ech_2018)

The known path for unrar or 7z

Description

The known path for unrar or 7z

Usage

.unrarPath

Format

An object of class NULL of length 0.

See Also

Other utils: archive_extract(), dates_ech(), ech, unlabelled()

This function allows you to calculate de Unsatisfied Basic Needs

Description

This function allows you to calculate de Unsatisfied Basic Needs

Usage

unsatisfied_basic_needs(
  data = ech::toy_ech_2018,
  c2 = "c2",
  c3 = "c3",
  c4 = "c4",
  d9 = "d9",
  d11 = "d11",
  d12 = "d12",
  d13 = "d13",
  d14 = "d14",
  d15 = "d15",
  d16 = "d16",
  d18 = "d18",
  d19 = "d19",
  d21_1 = "d21_1",
  d21_2 = "d21_2",
  d21_3 = "d21_3",
  d260 = "d260",
  ht19 = "ht19",
  pobre06 = "pobre06",
  e27 = "e27",
  school_enrollment = "school_enrollment",
  years_schooling = "years_schooling",
  e238 = "e238",
  anio = "anio"
)

Arguments

data

data.frame
c2

Variable name of predominant material on external walls
c3

Variable name of predominant roofing material
c4

Variable name of predominant flooring material
d9

Variable name of number of rooms
d11

Variable name of principal source of potable water
d12

Variable name of water supply network / water access
d13

Variable name of sanitary facilities
d14

Variable name of bathroom presence
d15

Variable name of private bathroom use
d16

Variable name of sewerage facilities
d18

Variable name of energy source for lighting
d19

Variable name of cooking space
d21_1

Variable name of heater or termophon presence
d21_2

Variable name of instantaneous water heater presence
d21_3

Variable name of fridge presence
d260

Variable name of energy source for heating
ht19

Variable name of number of individuals in the household
pobre06

Variable name of poverty
e27

Variable name of age
school_enrollment

Variable name of school_enrollment
years_schooling

Variable name of years_schooling
e238

Variable name of attendance to initial education
anio

Variable name of survey year

Details

Based on [Fascículo I: Las Necesidades Básicas Insatisfechas a partir de los Censos 2011](https://www5.ine.gub.uy/documents/Demograf Disclaimer: This script is not an official INE product. Aviso: El script no es un producto oficial de INE.

Value

data.frame

See Also

Other poverty: integrated_poverty_measure(), poverty()

Examples

toy_ech_18 <- enrolled_school(data = ech::toy_ech_2018)
toy_ech_18 <- years_of_schooling(toy_ech_18)
toy_ech_18 <- unsatisfied_basic_needs(toy_ech_18)

A dataset containing the urls of INE datasets and diccionaries

Description

A dataset containing the urls of INE datasets and diccionaries

Usage

urls_ine

Format

A data frame with 9 rows and 4 variables:

yy

date from 2011 to 2019

md_sav

url for microdata download

upm_sav

url for upm download

dic

url for dictionary download

Details

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

Source

https://www.gub.uy/instituto-nacional-estadistica/

See Also

Other dataset: cba_cbna_int, cba_cbna_mdeo, cba_cbna_rur, dic, ipab_base2010_int, ipab_base2010_mdeo, ipab_base2010, ipc_base2010_int, ipc_base2010_mdeo, ipc_base2010, toy_ech_2018_income, toy_ech_2018

This function allows you to calculate the years of schooling

Description

This function allows you to calculate the years of schooling

Usage

years_of_schooling(
  data = ech::toy_ech_2018,
  e193 = "e193",
  e51_2 = "e51_2",
  e51_3 = "e51_3",
  e51_4 = "e51_4",
  e51_5 = "e51_5",
  e51_6 = "e51_6",
  e51_7 = "e51_7",
  e51_7_1 = "e51_7_1",
  e51_8 = "e51_8",
  e51_9 = "e51_9",
  e51_10 = "e51_10",
  e51_11 = "e51_11",
  max_years = 22
)

Arguments

data

data.frame
e193

Variable name of attendance school
e51_2

Variable name of years passed in primary
e51_3

Variable name of years passed in special primary
e51_4

Variable name of years passed in lower secondary
e51_5

Variable name of years passed in upper secondary
e51_6

Variable name of years passed in bachillerato tecnologico
e51_7

Variable name of years passed in technical education
e51_7_1

Variable name of technical education requirements
e51_8

Variable name of years passed in magisterio/profesorado
e51_9

Variable name of years passed in university or similar
e51_10

Variable name of years passed in tertiary (non-university)
e51_11

Variable name of years passed in postgrade
max_years

Maximum years of schooling

Details

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

Value

data.frame

See Also

Other education: enrolled_school(), level_completion(), level_education(), organize_educ()

Examples

toy_ech_2018 <- years_of_schooling(data = ech::toy_ech_2018)