Description
Occupationcross is designed to facilitate the application of crosswalks between occupational classifiers from different parts of the world.
The main function of this package is reclassify_to_isco08(). Basically, this function takes as an imput a database containing a variable associated with a national occupational classifier and performs a reclassification to International Standard Classification of Occupations 08 developed by International Labour Organization.
In addition, the package also has dataframes specifying the available classifications and crosswalks, as well as the tables used to make the crosswalks.
available_classificationsavailable_crosswalkscrosstable_sinco2011_isco08crosstable_cno2001_isco08
How to cite this package
You can cite this package mentioning it as “‘occupationcross’ R package” (Weksler y Lastra, 2022)“.
To include it in references:
"Guido Weksler & Facundo Lastra (2022). occupationcross: Package for making crosswalks among different occupational codes. R package version https://doi.org/10.5281/zenodo.7025097"bib entry:
@Manual{Weksler2022,
title = {occupationcross: Package for making crosswalks among different occupational codes},
author = {Guido Weksler & Facundo Lastra},
year = {2022},
doi = {10.5281/zenodo.702509},
url = {https://guidowe.github.io/occupationcross/},
}Instalation
Install the development version of occupationcross from GitHub with:
# install.packages("devtools")
devtools::install_github("Guidowe/occupationcross")Example
This is a basic example of how this package works :
Let´s load first occupationcross, and also tidyverse
The objects available_classifications and available_crosswalks show respectively which are the classifications collected and which crosswalks can be obtained applying the functions contained in this package.
occupationcross::available_classifications
#> classification classification_fullname
#> 1 ISCO08 International Standard Classification of Occupations 08
#> 2 ISCO88 International Standard Classification of Occupations 88
#> 3 SINCO2011 Sistema Nacional de Clasificación de Ocupaciones 2011
#> 4 CNO2001 Clasificador Nacional de Ocupaciones 2001
#> 5 CNO2017 Clasificador Nacional de Ocupaciones 2017
#> 6 Census2010 2010 Census Occupational Classification
#> 7 SOC2010 2010 Standard Occupational Classification
#> country
#> 1 International
#> 2 International
#> 3 Mexico
#> 4 Argentina
#> 5 Argentina
#> 6 United States
#> 7 United States
occupationcross::available_crosswalks
#> # A tibble: 8 x 3
#> from to detail
#> <chr> <chr> <chr>
#> 1 SINCO2011 ISCO08 complete crosswalk
#> 2 Census2010 ISCO08 complete crosswalk
#> 3 CNO2001 ISCO08 crosswalk only available to isco digits 1 and 2
#> 4 CNO2017 ISCO08 crosswalk only available to isco digits 1 and 2
#> 5 ISCO88 ISCO08 complete crosswalk
#> 6 ISCO88_3digi~ ISCO08 crosswalk designed for databases with ISCO88 containing ~
#> 7 ISCO08 ISCO88 complete crosswalk
#> 8 Census2010 SOC20~ complete crosswalkLet´s use a sample database from a Mexico´s household survey (Encuesta Nacional de Ocupación y Empleo) already embedded in this package. This database contains a variable named “p3” corresponding to SINCO 2011 (Sistema Nacional de Clasificación de Ocupaciones - 2011) occupational codes
toy_base_mexico
#> # A tibble: 200 x 8
#> sex t_loc clase2 tue1 pos_ocu per fac p3
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 1 4 2 119 435 7121
#> 2 2 1 1 1 1 119 542 5116
#> 3 2 1 1 3 1 119 173 9611
#> 4 2 3 0 0 0 119 411 NA
#> 5 1 1 3 0 0 119 224 NA
#> 6 2 1 0 0 0 119 104 NA
#> 7 2 1 0 0 0 119 314 NA
#> 8 2 1 4 0 0 119 104 NA
#> 9 1 4 1 1 3 119 450 6111
#> 10 2 4 1 3 3 119 293 4111
#> # ... with 190 more rowsApplying the reclassify_to_isco08() function we can obtain a reclassification of each case of our database into International Standard Classification of Occupations - 08 (ISCO-08) codes.
- The classif_origin is used to specify which classification is used in the original database.
- The add_major_groups parameter allows you to add a new variable identifying ISCO-08 major group.
- The add_skill parameter allows you to add a new variable identifying skill level of each occupation according to ISCO-08 classification of major groups.
- The code_titles parameter allows you to get the occupation names both from the origin classification and isco 08 classification
crossed_base <- reclassify_to_isco08(base = toy_base_mexico,
variable = p3,
classif_origin = "SINCO2011",
add_major_groups = T,
add_skill = T,
code_titles = T)
crossed_base %>%
select(p3,ISCO.08,major_group)
#> # A tibble: 200 x 3
#> p3 ISCO.08 major_group
#> <dbl> <chr> <fct>
#> 1 7121 7112 7. Craft and Related Trades Workers
#> 2 5116 5131 5. Services and Sales Workers
#> 3 9611 9111 9. Elementary Occupations
#> 4 NA 0000 <NA>
#> 5 NA 0000 <NA>
#> 6 NA 0000 <NA>
#> 7 NA 0000 <NA>
#> 8 NA 0000 <NA>
#> 9 6111 6111 6. Skilled Agricultural, Forestry and Fishery Workers
#> 10 4111 5221 5. Services and Sales Workers
#> # ... with 190 more rows