knitr::opts_chunk$set(
warning = FALSE, # show warnings during codebook generation
message = FALSE, # show messages during codebook generation
error = TRUE, # do not interrupt codebook generation in case of errors,
# usually better for debugging
echo = TRUE # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())
# set base directory
basedir = "/home/ecco_rais/data/clean/RAIS-homogenized/output/"
# adjust as necessary
startyear = 2003
endyear = 2004
# libraries
library(codebook)
library(rio)
# Start the codebook loop
#for ( year in startyear:endyear) {
year = "2007"
# for CSV
codebook_data <- fread(file.path(basedir, paste0("harmo_", year, ".csv")))
# omit the following lines, if your missing values are already properly labelled
codebook_data <- detect_missing(codebook_data,
only_labelled = TRUE, # only labelled values are autodetected as
# missing
negative_values_are_missing = FALSE, # negative values are missing values
ninety_nine_problems = TRUE, # 99/999 are missing values, if they
# are more than 5 MAD from the median
)
# If you are not using formr, the codebook package needs to guess which items
# form a scale. The following line finds item aggregates with names like this:
# scale = scale_1 + scale_2R + scale_3R
# identifying these aggregates allows the codebook function to
# automatically compute reliabilities.
# However, it will not reverse items automatically.
codebook_data <- detect_scales(codebook_data)
## Warning in detect_scales(codebook_data): cnae items found, but no aggregate
## Warning in detect_scales(codebook_data): active items found, but no aggregate
## Warning in detect_scales(codebook_data): cbo items found, but no aggregate
codebook_data <- as.data.table(codebook_data)
codebook(codebook_data)
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning in max(f): no non-missing arguments to max; returning -Inf
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning in grepl("^\\s+$", x): input string 1782326 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 2060144 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 2865199 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 2950894 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 3083362 is invalid in this locale
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning in grepl("^\\s+$", x): input string 1782326 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 2060144 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 2865199 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 2950894 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 3083362 is invalid in this locale
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning in grepl("^\\s+$", x): input string 1782326 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 2060144 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 2865199 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 2950894 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 3083362 is invalid in this locale
Dataset name: codebook_data
The dataset has N=54649133 rows and 48 columns. 22801672 rows have no missing values on any column.
|
#Variables
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
adm_date | numeric | 0 | 1 | 1e+06 | 3122007 | 3.1e+07 | 8182087 | 8437801 | ▇▂▂▂▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
separation_cause | numeric | 0 | 1 | 0 | 0 | 80 | 4.687003 | 8.24364 | ▇▁▁▁▁ | NA |
## Error in `ggplot2::geom_histogram()`:
## ! Problem while computing position.
## ℹ Error occurred in the 1st layer.
## Caused by error in `if (...) NULL`:
## ! missing value where TRUE/FALSE needed
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
cei | character | 0 | 1 | 34849 | 0 | 1 | 21 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cnae20 | numeric | 0 | 1 | 1113 | 49213 | 99008 | 54243.28 | 27455.36 | ▃▂▇▂▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cnae95 | numeric | 0 | 1 | 1112 | 55131 | 99007 | 54293.94 | 24157.23 | ▃▂▆▇▂ | NA |
## Error in `ggplot2::geom_histogram()`:
## ! Problem while computing position.
## ℹ Error occurred in the 1st layer.
## Caused by error in `if (...) NULL`:
## ! missing value where TRUE/FALSE needed
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
cpf | character | 0 | 1 | 44554950 | 0 | 1 | 21 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
termination_day | character | 0 | 1 | 31 | 0 | 2 | 12 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
dob | numeric | 0 | 1 | 1e+06 | 1.5e+07 | 5.1e+07 | 15627633 | 8783299 | ▇▇▇▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
active1231 | numeric | 0 | 1 | 0 | 1 | 1 | 0.6881615 | 0.4632443 | ▃▁▁▁▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
sex | numeric | 0 | 1 | 0 | 0 | 1 | 0.3894943 | 0.4876356 | ▇▁▁▁▅ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
schooling | numeric | 0 | 1 | 1 | 7 | 11 | 6.069484 | 1.950817 | ▂▅▇▃▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
hired_hours | numeric | 0 | 1 | 1 | 44 | 44 | 41.25284 | 6.392624 | ▁▁▁▁▇ | NA |
## Error in `ggplot2::geom_histogram()`:
## ! Problem while computing stat.
## ℹ Error occurred in the 1st layer.
## Caused by error in `seq_len()`:
## ! argument must be coercible to non-negative integer
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
firmID | character | 0 | 1 | 2904935 | 0 | 15 | 21 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
alvara_ind | numeric | 0 | 1 | 1 | 2 | 2 | 1.998367 | 0.0403805 | ▁▁▁▁▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cei_avail | numeric | 0 | 1 | 0 | 0 | 1 | 0.0171337 | 0.1297694 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
pat | numeric | 0 | 1 | 0 | 0 | 1 | 0.2807681 | 0.4493744 | ▇▁▁▁▃ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
simples | numeric | 0 | 1 | 0 | 0 | 1 | 0.204404 | 0.4032654 | ▇▁▁▁▂ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
termination_month | numeric | 0 | 1 | 0 | 0 | 12 | 2.106646 | 3.688459 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
muni | numeric | 0 | 1 | 110001 | 351880 | 530010 | 346170.3 | 84021.06 | ▁▂▇▂▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
nationality | numeric | 0 | 1 | 10 | 10 | 50 | 10.03214 | 0.9744369 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
legal_form | numeric | 0 | 1 | 1015 | 2062 | 5002 | 2046.708 | 690.8111 | ▂▇▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
name | character | 0 | 1 | 32730620 | 0 | 3 | 52 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
ctps | numeric | 0 | 1 | 0 | 53512 | 1e+08 | 662470.8 | 3334223 | ▇▁▁▁▁ | NA |
575732 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cbo02 | numeric | 575732 | 0.9894649 | 111215 | 514225 | 992225 | 529969.3 | 206763.9 | ▃▇▇▆▂ | NA |
4039153 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cbo94 | numeric | 4039153 | 0.9260893 | 12110 | 55120 | 99190 | 56843.82 | 26269.86 | ▃▇▆▂▆ | NA |
## Error in `ggplot2::geom_histogram()`:
## ! Problem while computing position.
## ℹ Error occurred in the 1st layer.
## Caused by error in `if (...) NULL`:
## ! missing value where TRUE/FALSE needed
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
pis | character | 0 | 1 | 45227446 | 0 | 1 | 21 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
disabled | numeric | 0 | 1 | 0 | 1 | 1 | 0.9912957 | 0.0928897 | ▁▁▁▁▇ | NA |
8583566 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
race_color | numeric | 8583566 | 0.8429332 | 1 | 2 | 9 | 4.028249 | 2.800746 | ▇▁▁▁▃ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cnpj_root | numeric | 0 | 1 | 0 | 8518700 | 1e+08 | 25903844 | 28588798 | ▇▁▂▂▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_dec | numeric | 0 | 1 | 0 | 530 | 57000 | 933.6081 | 1827.261 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_dec_mw | numeric | 0 | 1 | 0 | 1.4 | 150 | 2.453644 | 4.807741 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
mean_earn | numeric | 0 | 1 | 0 | 656 | 57003 | 1143.462 | 1768.4 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
mean_earn_mw | numeric | 0 | 1 | 0 | 1.8 | 150 | 3.068114 | 4.777678 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
hired_wage | numeric | 0 | 1 | 0 | 511 | 1e+07 | 874.5833 | 8006.401 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cnae20sub | numeric | 0 | 1 | -1 | 4789001 | 9900800 | 5311041 | 2798660 | ▃▂▇▂▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
establishment_size | numeric | 0 | 1 | 0 | 6 | 9 | 5.389038 | 2.830687 | ▃▅▅▅▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
tenure | numeric | 0 | 1 | 0 | 18 | 600 | 48.57175 | 73.86004 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
adm_type | numeric | 0 | 1 | 0 | 0 | 8 | 0.7033751 | 1.006082 | ▇▃▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
firmID_type | numeric | 0 | 1 | 0 | 1 | 1 | 0.959587 | 0.1969257 | ▁▁▁▁▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
wage_type | numeric | 0 | 1 | 1 | 1 | 7 | 1.463452 | 1.305758 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
disability_type | numeric | 0 | 1 | -1 | 0 | 6 | 0.0189699 | 0.2585245 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
contract_type | numeric | 0 | 1 | 10 | 10 | 97 | 16.80598 | 14.05097 | ▇▂▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
last_wage | numeric | 0 | 1 | 0 | 1.8 | 150 | 3.367861 | 6.012357 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
yr | numeric | 0 | 1 | 2007 | 2007 | 2007 | 2007 | 0 | ▁▁▇▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
termination_year | numeric | 0 | 1 | 2007 | 2007 | 2007 | 2007 | 0 | ▁▁▇▁▁ | NA |
24731016 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
adm_day | numeric | 24731016 | 0.5474582 | 1 | 13 | 31 | 13.6797 | 7.83048 | ▇▇▇▅▂ | NA |
3690982 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
adm_month | numeric | 3690982 | 0.9324604 | 1 | 6 | 12 | 6.011606 | 3.231037 | ▇▅▅▆▅ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
adm_year | numeric | 0 | 1 | 1925 | 2006 | 2007 | 2003.327 | 6.088862 | ▁▁▁▁▇ | NA |
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": "codebook_data",
"datePublished": "2024-05-31",
"description": "The dataset has N=54649133 rows and 48 columns.\n22801672 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name |label | n_missing|\n|:------------------|:-----|---------:|\n|adm_date |NA | 0|\n|separation_cause |NA | 0|\n|cei |NA | 0|\n|cnae20 |NA | 0|\n|cnae95 |NA | 0|\n|cpf |NA | 0|\n|termination_day |NA | 0|\n|dob |NA | 0|\n|active1231 |NA | 0|\n|sex |NA | 0|\n|schooling |NA | 0|\n|hired_hours |NA | 0|\n|firmID |NA | 0|\n|alvara_ind |NA | 0|\n|cei_avail |NA | 0|\n|pat |NA | 0|\n|simples |NA | 0|\n|termination_month |NA | 0|\n|muni |NA | 0|\n|nationality |NA | 0|\n|legal_form |NA | 0|\n|name |NA | 0|\n|ctps |NA | 0|\n|cbo02 |NA | 575732|\n|cbo94 |NA | 4039153|\n|pis |NA | 0|\n|disabled |NA | 0|\n|race_color |NA | 8583566|\n|cnpj_root |NA | 0|\n|earn_dec |NA | 0|\n|earn_dec_mw |NA | 0|\n|mean_earn |NA | 0|\n|mean_earn_mw |NA | 0|\n|hired_wage |NA | 0|\n|cnae20sub |NA | 0|\n|establishment_size |NA | 0|\n|tenure |NA | 0|\n|adm_type |NA | 0|\n|firmID_type |NA | 0|\n|wage_type |NA | 0|\n|disability_type |NA | 0|\n|contract_type |NA | 0|\n|last_wage |NA | 0|\n|yr |NA | 0|\n|termination_year |NA | 0|\n|adm_day |NA | 24731016|\n|adm_month |NA | 3690982|\n|adm_year |NA | 0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
"keywords": ["adm_date", "separation_cause", "cei", "cnae20", "cnae95", "cpf", "termination_day", "dob", "active1231", "sex", "schooling", "hired_hours", "firmID", "alvara_ind", "cei_avail", "pat", "simples", "termination_month", "muni", "nationality", "legal_form", "name", "ctps", "cbo02", "cbo94", "pis", "disabled", "race_color", "cnpj_root", "earn_dec", "earn_dec_mw", "mean_earn", "mean_earn_mw", "hired_wage", "cnae20sub", "establishment_size", "tenure", "adm_type", "firmID_type", "wage_type", "disability_type", "contract_type", "last_wage", "yr", "termination_year", "adm_day", "adm_month", "adm_year"],
"@context": "http://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "adm_date",
"@type": "propertyValue"
},
{
"name": "separation_cause",
"@type": "propertyValue"
},
{
"name": "cei",
"@type": "propertyValue"
},
{
"name": "cnae20",
"@type": "propertyValue"
},
{
"name": "cnae95",
"@type": "propertyValue"
},
{
"name": "cpf",
"@type": "propertyValue"
},
{
"name": "termination_day",
"@type": "propertyValue"
},
{
"name": "dob",
"@type": "propertyValue"
},
{
"name": "active1231",
"@type": "propertyValue"
},
{
"name": "sex",
"@type": "propertyValue"
},
{
"name": "schooling",
"@type": "propertyValue"
},
{
"name": "hired_hours",
"@type": "propertyValue"
},
{
"name": "firmID",
"@type": "propertyValue"
},
{
"name": "alvara_ind",
"@type": "propertyValue"
},
{
"name": "cei_avail",
"@type": "propertyValue"
},
{
"name": "pat",
"@type": "propertyValue"
},
{
"name": "simples",
"@type": "propertyValue"
},
{
"name": "termination_month",
"@type": "propertyValue"
},
{
"name": "muni",
"@type": "propertyValue"
},
{
"name": "nationality",
"@type": "propertyValue"
},
{
"name": "legal_form",
"@type": "propertyValue"
},
{
"name": "name",
"@type": "propertyValue"
},
{
"name": "ctps",
"@type": "propertyValue"
},
{
"name": "cbo02",
"@type": "propertyValue"
},
{
"name": "cbo94",
"@type": "propertyValue"
},
{
"name": "pis",
"@type": "propertyValue"
},
{
"name": "disabled",
"@type": "propertyValue"
},
{
"name": "race_color",
"@type": "propertyValue"
},
{
"name": "cnpj_root",
"@type": "propertyValue"
},
{
"name": "earn_dec",
"@type": "propertyValue"
},
{
"name": "earn_dec_mw",
"@type": "propertyValue"
},
{
"name": "mean_earn",
"@type": "propertyValue"
},
{
"name": "mean_earn_mw",
"@type": "propertyValue"
},
{
"name": "hired_wage",
"@type": "propertyValue"
},
{
"name": "cnae20sub",
"@type": "propertyValue"
},
{
"name": "establishment_size",
"@type": "propertyValue"
},
{
"name": "tenure",
"@type": "propertyValue"
},
{
"name": "adm_type",
"@type": "propertyValue"
},
{
"name": "firmID_type",
"@type": "propertyValue"
},
{
"name": "wage_type",
"@type": "propertyValue"
},
{
"name": "disability_type",
"@type": "propertyValue"
},
{
"name": "contract_type",
"@type": "propertyValue"
},
{
"name": "last_wage",
"@type": "propertyValue"
},
{
"name": "yr",
"@type": "propertyValue"
},
{
"name": "termination_year",
"@type": "propertyValue"
},
{
"name": "adm_day",
"@type": "propertyValue"
},
{
"name": "adm_month",
"@type": "propertyValue"
},
{
"name": "adm_year",
"@type": "propertyValue"
}
]
}`
# } # end year loop