EU SILC variables list
Methodology - Income and living conditions - Eurosta
EU-SILC comprises a list of target variables which are based on common guidelines. Each country may implement the most efficient solution from a national perspective to deliver the data corresponding to each variable. (For more details see Questionnaires under 'Quality') There are two kinds of variables in EU-SILC: the primary and secondary variables. Primary variables. The primary variables. List of variables variables related to childcare services RC010: Payment for the cost of formal childcare services RC020: EU-SILC 2016 Module on Access to services EU-SILC 2016 Module on Access to services HC210: Number of hours per week of professional home care received HC220: Payment for professional home care HC230: Affordability of professional home care services HC240: Unmet needs.
EU-SILC 2014 Material deprivation EU-SILC 2014 Material deprivation List of variables Personal/household variables HD080: Replacing worn-out furniture PD020: Replace worn-out clothes by some new (not second-hand) ones PD030: Two pairs of properly fitting shoes (including a pair of all-weather shoes PD050: Get-together with friends/family (relatives) for a drink/meal at least once a mont THE LIST OF VALUES OF EU-SILC TARGET VARIABLES IN PUF DATABASE H-file Variable Description of variable Values Description of values HB010 YEAR OF THE SURVEY 2016 Year HB030 HOUSEHOLD ID (anonymised) ID number DB090 HOUSEHOLD WEIGHT 0+ (format 2.5) Weight HH010 DWELLING TYPE (anonymised) 1 Detached house 2 Semi-detached or terraced house 3 Apartment or flat in a building with less than 10.
EU-SILC is a cross-sectional and longitudinal sample survey, coordinated by Eurostat, based on data from the European Union member states. EU-SILC provides data on income, poverty, social exclusion and living conditions in the European Union. EU-SILC stands for 'European Union Statistics on Income and Living Conditions.' The EU-SILC April 2021 release extended data coverage to 2019. There are. The EU SILC collects comparable multidimensional micro-data on: income; poverty; social exclusion; housing; labour ; education; health. It covers objective and subjective aspects of these themes in both monetary and non-monetary terms for both households and individuals. The following statistics are related to migration: Table Code Description; ilc_di15: Mean and median income by broad group. includes all EU-SILC panel variables, for which the required information is recorded in the SOEP. As opposed to the official EU-SILC panel requirement, the EU-SILC clone does not take the form of a 4-year rotating panel, but survey participants are kept in the dataset for as long as they participate. In order to adjust the EU-SILC clone to a 4-year rotating panel, users may drop respondents. EU-SILC Methodological Guidelines and Target Variables Contents 2016 Operation - 5 - HS180: P OLLUTION , GRIME OR OTHER ENVIRONMENT PROBLEMS [P OLLUTION , GRIME OR OTHE
EU-SILC covers a wide array of variables collected from households by the Member States. Among others, EU-SILC contains panel data that follows a rotational design. Each year, Eurostat publishes a series of separate datasets covering only up to 4 years, even though it has been collecting data since 2003. eusilcpanel is a script written by Marwin Borst in the form of a Stata package. . _agg_: (option) variable storing the default list of aggregates to be computed in survey year time; _eu_: EA=EA12 and EU=EU25. See %_example_silc_agg_list for more examples. Notes. One at least of the parameters _agg_, _eu_ or _ea_ should be set. This macro should be implemented through a metadata table, instead of being hard encoded as is the case now, e.g. something like: EU15 EU25 EU27.
List of variables - webgate
This section contains a browsable representation of all series and covers information at the study as well as the variable level. It follows the initial structure of the series which is used in the subnavigation on the left as well: Series (e.g. EU-SILC) Study (e.g. 2008) Optional: Dataset (e.g. Panel) Optional: Filetype (e.g. Personal data) Complementary information (definitions, links to. METASILC 2015: A REPORT ON THE CONTENTS AND COMPARABILITY OF THE EU-SILC INCOME VARIABLES Tim Goedemé1,2 and Lorena Zardo Trindade1 (eds.) 1Herman Deleeck Centre for Social Policy University of Antwerp 2Institute for New Economic Thinking at the Oxford Martin School Department of Social Policy and Interventio EU-SILC/BB D(2005) EU-SILC USER DATABASE DESCRIPTION (draft) 1. AIM OF EU-SILC EU-SILC will gather comparative statistics on income distribution and social exclusion from the 25 EU members states, Norway and Iceland. It will provide two types of annual data: Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other.
- Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses SAS code and documentation vars= is a list of analytical variables you want to be included in the output file. Simply type in all the variables separated by a space. If you do not specify analytical variables, the code will still execute, but the output file cannot be used for differential mortality analyses. For.
- COMMISSION REGULATION (EU) 2015/2256. of 4 December 2015. amending Regulation (EC) No 1983/2003 implementing Regulation (EC) No 1177/2003 of the European Parliament and of the Council concerning Community statistics on income and living conditions (EU-SILC) as regards the list of target primary variables. (Text with EEA relevance
- The EU-SILC variables cover the following domains: At householdlevel: data on social exclusion are collected Socio-demographicbasic/core data Housing Material deprivation Income At individual level (aged 16 or more): Basic/demographic data Education Health Labour Income 10 Survey on income: EU-SILC case Perugia, 10 December, 2018 THE EU-SILC PROJECT. The EU-SILC ad-hoc modules are relating to.
- 2a Flag variables in EU-SILC Code (Flag) Meaning 1 Filled-1 Missing-2 Does not apply-3 Non-selected respondent Most variables are completed by flag variable (variable name with suffix _F). e.g. PL050_F Case 1: Non-income variables 22. 2a Flag variables in EU-SILC Code (Flag) Meaning 0 No income -1 Missing-5 Not filled: variable of net/gross series is filled Case 2: Income variables b.
EU Statistics on Income and Living Conditions • European
- Commission Regulation (EU) 2016/114 of 28 January 2016 implementing Regulation (EC) No 1177/2003 of the European Parliament and of the Council concerning Community statistics on income and living conditions (EU-SILC) as regards the 2017 list of target secondary variables on health and children's health (Text with EEA relevance
- aspects and EU-SILC weights), imputation (missing data in EU-SILC and EU-SILC target variables for imputation) and database (data availability, domains and areas, the les, format, the data sets, variables and list of variables). 1. UDB 2003 - 2006: A general description of the UDB for years 2003 - 2006 is given in Bernard (2008). The EU-SILC sampling designs for 2004 are given in Annex 2. 2.
- 4.1 Preparatory data steps and variable construction with the UDB.. 18 4.2 Further analysis examples with the UDB..... 20 4.3 Codebook.. 22. 4 Building and analysing longitudinal data with Eu-silC Introduction In the year 2003 the EU-Statistics on Income and Living Conditions (EU-SILC) instrument were established by a joint EU-regulation of the Council and the parliament (EC 1177/2003.
- List of Micro-Level Variables from the EU-SILC 187 Appendix 3: Annex to Chapter 4 193 . iii List of Figures 2.1. Diffusion of social insurance programmes in today's EU-27 countries, by year of adoption . 10 : 2.2. Trends of welfare spending and GDP per capita in the.
- EU-SILC defines the harmonised lists of target variables, common guidelines and procedures, common concepts and classifications aimed at maximising comparability of the information produced. It consists of primary and secondary target variables which are collected at two different levels, the household and the individual level (for persons aged 16 or more). The primary target variables are.
- EU-SILC was launched in 2003 on a full scale pilot basis in seven MS (BE, NO, GR, Each year, a new Commission Regulation is set up on the list of target secondary variables: two have been issued to date ('Intergenerational transmission of poverty'; 'Social participation') and a third (on Housing inadequacy) is under discussion. 1 The continuity of indicators during the transition.
EU SILC (EU-Statistics on Income and Living Conditions
- Annex 1 contains the full list of variables common to both EU-SILC and HBS in 2010. The original statistical matching methodology set out in Webber & Tonkin (2013) was developed using the 2005 HBS, which included a number of variables related to ownership of material goods that were dropped from the 2010 survey. In the UK, these data were still collected on the Living Costs and Food Survey.
- ants of the sampling variance is the sample design that has been used.
- 2004 EU-SILC. Furthermore, a methodology to assess the EU-SILC target variables on material deprivation will be proposed in order to make survey variables able to give a better overview on material deprivation in the enlarged Europe. 1 IWEPS (Institut wallon de l'évaluation, de la prospective et de la statistique) - Belgium, Eurostat Seconded National Expert (15/02/2002 - 31/07/2005). 2.
- Verordnung Europäische Gemeinschaft (EG) Nummer 362/2008 des Rates vom 14. April 2008 zur Durchführung der Verordnung Europäische Gemeinschaft (EG) Nummer 1177/2003 des Europäischen Parlaments und des Rates für die Gemeinschaftsstatistik über Einkommen und Lebensbedingungen (European Union Statistics on Income and Living Conditions - EU-SILC) bezüglich der Liste der sekundären.
- Gml: Eu-silc - Gesi
PING: silc_agg_list - eurostat
- GESIS: Missy - Find Metadat
- EUR-Lex - 32015R2256 - EN - EUR-Le
- EUR-Lex - 32016R0114 - EN - EUR-Le
- Building and Analysing Longitudinal Data with EU-SIL