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 |