| Type: | Package |
| Title: | Easy Import of the EU Labour Market Policy Data |
| Version: | 0.2.0 |
| Author: | Aleksander Rutkowski [aut, cre] |
| Maintainer: | Aleksander Rutkowski <alek.rutkowski@gmail.com> |
| Description: | European Commission's Labour Market Policy (LMP) database (https://webgate.ec.europa.eu/empl/redisstat/databrowser/explore/all/lmp?lang=en&display=card&sort=category) provides information on labour market interventions, which are government actions to help and support the unemployed and other disadvantaged groups in the transition from unemployment or inactivity to work. It covers the EU countries and Norway. This package provides functions for downloading and importing the LMP data and metadata (codelists). |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| Imports: | magrittr, data.table |
| URL: | https://github.com/alekrutkowski/LMPdata |
| NeedsCompilation: | no |
| Packaged: | 2025-01-30 08:32:33 UTC; rutkoal |
| Repository: | CRAN |
| Date/Publication: | 2025-01-30 08:50:02 UTC |
LMPdata
Description
Easy import of the EU Labour Market Policy data
Import an LMP dataset
Description
The available datasets are:
| 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 |
Usage
importData(lmp_dataset_code, filters = list())
Arguments
lmp_dataset_code |
A dataset code name (string). Case insensitive. |
filters |
A list of uniquely named atomic vectors or an empty list for importing the full dataset (which can be slow). |
Value
A data.table with several columns: value_ and flags_ as well as
the columns for each dimension, geo i.e. country, time_period
i.e. year, and others.
Examples
importData('lmp_expsumm',
list(geo=c('AT','BE','CZ'), unit='MIO_EUR',
lmp_type='TOT1_9', exptype=c('XIND','XEMP')))
Import the labels for a dimension code (a code list)
Description
The available datasets are:
| 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 |
Usage
importLabels(dimension_code)
Arguments
dimension_code |
A dimension code name (string). Case insensitive. |
Value
A data.table with 2 columns: codes in the first, labels in the second.
If e.g. dimension_code="geo", the first column is named geo and
the second column is named geo__label.
Examples
importLabels("geo")
importLabels("exptype")