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2024-07-10
# Either
install.packages('LMPdata') # once available on CRAN
# or
remotes::install_github('alekrutkowski/LMPdata')The package provides an easy access to the “Labour Market Policy” statistics database managed by the European Commission (Directorate-General for Employment, Social Affairs & Inclusion). The data can be accessed also via https://webgate.ec.europa.eu/empl/redisstat/databrowser/explore/all/lmp?lang=en&display=card&sort=category.
The package offers only two functions:
importDataimportLabelsUsage examples:
library(LMPdata)
d <- importData(lmp_dataset_code = 'lmp_expsumm',
filters = list(geo=c('AT','BE','CZ'), unit='MIO_EUR',
lmp_type='TOT1_9', exptype=c('XIND','XEMP')))
str(d)## Classes 'data.table' and 'data.frame': 134 obs. of 7 variables:
## $ geo : chr "AT" "AT" "AT" "AT" ...
## $ unit : chr "MIO_EUR" "MIO_EUR" "MIO_EUR" "MIO_EUR" ...
## $ lmp_type : chr "TOT1_9" "TOT1_9" "TOT1_9" "TOT1_9" ...
## $ exptype : chr "XEMP" "XEMP" "XEMP" "XEMP" ...
## $ time_period: int 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 ...
## $ value_ : num 334 361 363 464 601 ...
## $ flags_ : chr "" "" "" "" ...
## - attr(*, ".internal.selfref")=<externalptr>g <- importLabels(dimension_code = "geo")
l <- importLabels(dimension_code = "exptype")
str(g)## Classes 'data.table' and 'data.frame': 3707 obs. of 2 variables:
## $ geo : chr "EUR" "EU" "EU_V" "EU28" ...
## $ geo__label: chr "Europe" "European Union (EU6-1972, EU9-1980, EU10-1985, EU12-1994, EU15-2004, EU25-2006, EU27-2013, EU28)" "European Union (aggregate changing according to the context)" "European Union (28 countries)" ...
## - attr(*, ".internal.selfref")=<externalptr>str(l)## Classes 'data.table' and 'data.frame': 15 obs. of 2 variables:
## $ exptype : chr "XTOT" "XIND" "XINDPER" "XINDLUMP" ...
## $ exptype__label: chr "Total" "Transfers to individuals" "Transfers to individuals - periodic cash payments" "Transfers to individuals - lump-sum payments" ...
## - attr(*, ".internal.selfref")=<externalptr>The following datasets are available:
| lmp_dataset_code | Description |
|---|---|
| LMP_EXPSUMM | LMP expenditure by type of action – summary tables |
| LMP_EXPME | Detailed expenditure by LMP intervention |
| LMP_PARTSUMM | LMP participants by type of action – summary tables |
| LMP_PARTME | Detailed data on participants by LMP intervention |
| LMP_IND_ACTSUP | Activation-Support – LMP participants per 100 persons wanting to work |
| LMP_IND_ACTRU | Activation of registered unemployed |
| LMP_IND_ACTIME | Timely activation – share of LMP entrants not previously long-term unemployed |
| LMP_IND_EXP | LMP expenditure in convenient units (% of GDP or purchasing power standard per person wanting to work) |
| LMP_RJRU | Persons registered with Public Employment Services |
The following dimensions are available:
| dimension_code | Description |
|---|---|
| AGE | Age class |
| EXPTYPE | Type of expenditure |
| GEO | Geopolitical entity (reporting) i.e. a country |
| LMP_TYPE | Labour market policy interventions by type of action |
| flags_ | Flags for each statistical observation |
| REGIS_ES | Registration with employment services |
| SEX | Sex / gender |
| STK_FLOW | Stock or flow |
| UNIT | Unit of measure |
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.