2020 Winter Data Splash
LIS is happy to announce the following data updates:
- Austria – Addition of one data point AT17 to the LWS Database (1 new)
- Belgium – Annualisation of the country series from 2003-17 for the LIS Database (10 new datasets and 11 revised)
Ten new datasets have been added to the
LIS Database (
BE03,
BE05,
BE06,
BE08,
BE09,
BE11,
BE12,
BE14,
BE15,
BE17). The datasets are based on the Survey on Income and Living Conditions (SILC) data from
Statistics Belgium (StatBel). Pre-existing datasets from the SILC series (
BE04,
BE07,
BE10,
BE13,
BE16) were also slightly adjusted due to newly received variables by StatBel during the harmonisation of the annual data.
Earlier datasets of the Belgian data series (
BE85,
BE88,
BE92,
BE95,
BE97,
BE00) were revised for consistency with the later SILC series; adjustments concern mostly the section of education variables.
- Estonia – EE16 added to the LIS Database (1 new dataset)
One new dataset from Estonia,
EE16 (Wave X), has been added to the
LIS Database. The dataset is from the Estonian Social Survey (ESS) / EU-SILC (Survey on Income and Living Conditions) provided by
Statistics Estonia. Earlier datasets of the Estonian series (
EE00,
EE04,
EE07,
EE10,
EE13) were revised for consistency. Variable educ_c (country-specific information on highest education level) contains now more detail which allowed for a more precise creation of the standardised education variables.
- Luxembourg – Addition of one data point LU18 to the LWS Database (1 new)
- South Korea – KR14 and KR16 have been added to the LIS Database (2 new datasets and 4 revised)
Two new datasets from South Korea,
KR14 (Wave IX) and
KR16 (Wave X), have been added to the
LIS Database. The datasets are based on the Household Income and Expenditure Survey (HIES) and Farm Household Income and Expenditure Survey (FHES) provided by
Statistics Korea (KOSTAT). All datasets, including the pre-existing datasets
KR06,
KR08,
KR10,
KR12, were revised to adjust the sample in the consumption variables, which are only available for the urban subsample (HIES); observations from the rural subsample (FHES) are set to missing value.
- United Kingdom – Annualisation of the country series from 1999-2017 for the LIS Database (13 new datasets and 6 revised)
14 new datasets covering the period 1999-2018 (
UK99–
UK17) have been added to the British series; thus the series in the
LIS Database provides now annual data for 20 consecutive years. For this update, the latest version of the Family Resources Survey (FRS) provided by
Department for Work and Pensions (DWP) and Office for
National Statistics (ONS) was used; the pre-existing six datasets were entirely re-harmonised to guarantee consistent harmonization outcomes. This update entails a major update in the calculation of social contributions and taxes, including council taxes. The new version directly takes the calculated variable by the data provider, which ensures now a higher consistency over time, as compared to the previous recreation of social contributions and taxes from the surveyed information.
Please note highest education level is not consistently collected in the FRS data; thus only from
UK14 onwards a precise mapping to the standardised education variables is possible. There are two break in series in
UK12 and
UK14; we advise users to carefully analyse the available information in
educ_c (country-specific information on highest education level) and how it was regrouped in the standardised education variables.
- United Kingdom – Addition of three new data points UK13, UK15, UK17 to the LWS Database (3 new datasets and 3 revised)
Three new datasets (
UK13,
UK15,
UK17) were added to the LWS Database. The data are from the Wealth and Assets Survey (WAS) provided by
Office for National Statistics (ONS). The three WAS datasets from earlier years (
UK07,
UK09,
UK11) underwent consistency revisions, particularly in the blocks of income (only
UK11) and wealth-related and behavioural variables.
- General database rerun LIS and LWS Databases
LIS carried out an entire database rerun to incorporate latest adjustments of the data production template for all datasets. This update concerns mostly:
– Inclusion of indistinguishable labour income in the variable pitotal (total individual income). This has a minor impact on most of the concerned datasets, except in Germany (DE84–DE16), where imputed labour income was reassigned to pi11 (wage income).
– Reallocation of property taxes from hxotax (other direct taxes) to hxptax (property taxes); this treatment means that those amounts are considered as well in hhouscost (housing costs) when applicable.
– Relation is consistently split in 2100 (spouse) and 2200 (cohabiting partner) following marital status.
– Restriction of labour market variables to currently employed persons.
Click on each hyperlinked item to access more details on the newly added and revised datasets
December 11, 2020 | Highlight