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Study: EU-SILC 2013
Titles
| Title | European Union Statistics on Income and Living Conditions 2013 |
|---|
Abstract
EU-SILC 2013 contains the 2013 Module on Wellbeing and additional variables for material deprivation (ESS agreement of September 2012).
Coverage
Geographical Coverage
EU-27 member states and Croatia, Iceland, Turkey, Norway and Switzerland.
Time Period Covered
Reference period for core variables: constant, at selection, income reference period, usual week, last 4 weeks, last 12 months, since last year, working life, childcare reference period.
The reference period for all module variables is the current situation, except for the five variables on emotional well-being, which refer to the past four weeks. (Eurostat (2013): DESCRIPTION OF TARGET VARIABLES: Cross-sectional and Longitudinal. 2013 operation (Version May 2013), p. 74.)
DOIs
| cross-sec: | https://doi.org/10.2907/EUSILC2004-2019V.1 |
|---|---|
| panel: | https://doi.org/10.2907/EUSILC2004-2018V.1 |
References
Country Specific Information: EU-SILC 2013
-
LV - Latvia
National Reference
Producer
Central Statistical Bureau of Latvia
Universe
Persons living in private households within national territory
Sampling Procedure
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
The stratification was made depending on a degree of urbanization of the area. The Classification of Administrative Territories and Territorial Units (CATTU) of Latvia was used for stratification.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2013
End Date
07-2013
Type Of Data Source
Register,Survey
Interview Mode
- 61.4 % CAPI
- 33.7 % CATI
- 4.9 % PAPI
Percentage Of Proxy Interviews
16.1 %
Weighting
Design Weight: Method
Inverse of Selection Probability
References
-
LU - Luxembourg
National Reference
Producer
STATEC, Institut national de la statistique et des études économiques du Grand-Duché du Luxembourg; CEPS/INSTEAD, Centre d'Etudes de Populations, de Pauvreté et de Politiques Socio-économiques
Universe
No difference to the common definition.
Sampling Procedure
Source Of Sampling Frame
Luxembourg Social Security database (IGSS) and a subsample of Population Census
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Sampling Method
Luxembourg uses a pure panel with a new sample each year.
Panel Design
Data Collection
Start Date
01-2013
End Date
11-2013
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
29.8 %
Weighting
References
-
LT - Lithuania
National Reference
Producer
Statistics Lithuania
Universe
No difference to the common definition
Sampling Procedure
Source Of Sampling Frame
Population Register
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
While selecting the new rotational group of the sample the country were grouped into 7 strata: 5 largest cities, other cities and rural area. Simple random sample of non–institutional persons aged 16 and over was selected from the Population Register in each stratum.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2013
End Date
06-2013
Type Of Data Source
Register,Survey
Interview Mode
- 19.8 % CAPI
- 33.7 % CATI
- 46.5 % PAPI
Percentage Of Proxy Interviews
20.60 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
To estimate household response probability logistic regression model are used. Response bias is estimated for responding and non-responding households.
Coverage Adjustment Weight: Method
Modified design weights are calibrated, seeking for the weights, which would remain as close as possible to sample design weights and allow obtaining some exact demographic estimates – auxiliary variables
References
-
HR - Croatia
National Reference
Producer
Croatian Bureau of Statistics
Universe
Private households in Croatia. Institutional households (such as homes, prisons, hospitals for the permanent accommodation of patients etc.) are not covered.
Sampling Procedure
Source Of Sampling Frame
2001 Census data
Sampling Design
- Probability
- multi-stage
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2013
End Date
06-2013
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
41.6 %
Weighting
References
Eurostat: EU Comparative Quality Report 2013.
-
RO - Romania
National Reference
Corresponding National Study
Romanian Survey on Income and Living Conditions ("Quality of Life Survey")
Producer
National Institute of Statistics of Romania
Universe
the reference population is all private households and their current members residing in the territory of the Romania at the time of data collection. Persons living in collective households and in institutions are excluded from the target population.
Sampling Procedure
Source Of Sampling Frame
Multifunctional Sample of Territorial Areas (EMZOT)
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
Stratification concerns only the first stage sampling. There are 88 strata, the criteria used being the area where a certain PSU is located (urban or rural area) and county (NUTS 3 level).
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
13 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
The non-response are not globally adjusted, at the entire sample level, but separately-at wave level, on groups of households, groups generated by the variables considered as explicative of the non response. This correspond to the so-called 'response-homogenous groups’ method, which assumes that in a certain group all the units have the same probability. For wave 1 we used as explicative variables for non-response region (NUTS II level) and area of residence (urban / rural) and for the second, third and fourth wave - the region.
Coverage Adjustment Weight: Method
The calibration is performed at the household level using the household variables and individual variables in their aggregate form as calibration variables. Adjustments were made using the SAS macro CALMAR. Calibration variables were: “distribution of the population by age group, area of residence and gender” using Romanian Population Estimates at the end of the income reference period and ’’households totals by region’’.
References
-
NO - Norway
National Reference
Producer
Statistics Norway
Universe
Persons aged 16 years or more at December 31 N-1 who are living outside an institution.
Sampling Procedure
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
"Rotational groups were biased. In 2007, the representativity based on one-year age groups was abandoned, and the new rotational groups are drawn as the proportion p of the population 16 years and over. In addition, each existing rotational group is then supplemented with new 16 year olds and new immigrants to ensure representativity." NO 2013, p.2
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2013
End Date
07-2013
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
37.4 %
Weighting
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
Weights are calculated by stratifying the gross sample according to information in registers on sex, age, education and family size (Personal cross-sectional weight )
Coverage Adjustment Weight: Method
No adjustments are made, except for children's weights.
References
-
HU - Hungary
National Reference
Producer
Hungarian Central Statistical Office
Sampling Procedure
Source Of Sampling Frame
Updated dataset of addresses used in the 2001 population and housing census
Sampling Design
- Probability
- stratified
- multi-stage
Primary Sampling Units
Localities
Secondary Sampling Units
Households
Stratification Criteria
At phase 1 the population of localities is stratified. Each of the larger localities is a stratum of its own. These are the self-representing localities, the number of which is 91. Smaller localities are stratified by NUTS3 regions and the size of locality. At phase 2 the households of the master sample is stratified by the charachteristic of the head of household within each locality.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2013
End Date
06-2013
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
14.7 %
Weighting
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
"In the new rotational group non-response weights were
introduced to reduce bias caused by unit non-response on household level. Non-response adjustment was a simple expansion applied by the same classes as design factors were calculated by."Coverage Adjustment Weight: Method
"The aim of this adjustment was to improve the accuracy of
data using socio-economical information available from the constantly updated Census 2001 and other surveys. Iterative raking scale methods were applied. For the integrative calibration population totals are used. Calibration was carried out with a self made SAS program. Calibration was carried ou in each rotational group. "References
-
FR - France
National Reference
Corresponding National Study
Statistiques sur les Ressources et les Conditions de Vie
Producer
INSEE - National Institute for Statistics and Economic Studies
Sampling Procedure
Sampling Design
Primary Sampling Units
Municipality
Panel Design
Number Of Rotational Groups
9
Data Collection
Start Date
05-2013
End Date
06-2013
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
26.9 %
Weighting
References
Eurostat: EU Comparative Quality Report 2013.
-
BG - Bulgaria
National Reference
Producer
National Statistical Institute
Universe
All citizens officially living at Bulgarian territory (population de facto).
Sampling Procedure
Source Of Sampling Frame
Population Census 2011
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Households
Stratification Criteria
The sample is stratified by administrative-territorial districts in the country (NUTS3) and the household's location. As a result 56 strata are formed.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2013
End Date
07-2013
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
15.8 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
Correction for non-response at the first year of subsamples was done with weighting within classes procedures: The design weights were modified by a factor inversely proportional to the response rate within strata. Coefficients of these corrections were computed separately according to classes of locality as ratios: the sum of design weights of selected units to the sum of design weights of responding units. The response probability for the households at wave 1, 2, 4 is obtained by a logistic regression model. The variables strata, size of household, sex, age group, activity, educational level and poverty indicators were used in the model.
Coverage Adjustment Weight: Method
The final weights were obtained applying the integrated calibration method. Combining the four independent subsamples, calibration is done on individual-level data, imposing equality of g-weights for individuals in the same household. Truncated linear function are used in order to limit g-weights close enough to 1. External information about the distribution of the population by administrative-territorial districts (NUTS 3) and residence and about the distribution of the population by age groups, sex and residence was used. This information was derived from the Information System Demography (ISD). Calibration was carried out with a G calib2.0 program (designed by Statistics Belgium).
References
-
BE - Belgium
National Reference
Producer
Statistics Belgium
Universe
The reference population is all citizens living officially living at Belgian territory (population de jure).
Sampling Procedure
Sampling Design
- Probability
- systematic
Primary Sampling Units
Municipality
Secondary Sampling Units
Households
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2013
End Date
12-2013
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
14.4 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
A logistic regression model was used to correct for non-response. The file was split by NUTS1 and the variables household size and region were used.
References
-
DE - Germany
National Reference
Corresponding National Study
Leben in Europa
Producer
Federal Statistical Office of Germany
Universe
The sampling population for the whole sample comprises private households in Germany in their main residences.
Sampling Procedure
Sampling Design
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2013
End Date
09-2013
Type Of Data Source
Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
13.3 %
Weighting
References
Eurostat: EU Comparative Quality Report 2013.
-
DK - Denmark
National Reference
Producer
Statistics Denmark
Universe
People residing in private households residing in Denmark at the time of the interview.
Sampling Procedure
Sampling Design
- Probability
- not stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2013
End Date
06-2013
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
52.6 %
Weighting
Design Weight: Target
Household
References
-
FI - Finland
National Reference
Producer
Statistics Finland
Universe
Members of the private households permanently resident (the census definition) in Finland on 31 December 2011. For migrants in particular, permanent residency means that the persons have resided or intend to reside for at least 12 months and they have not a permanent recidence abroad. Persons living in institutions, in collective households or in residential homes have been excluded.
Sampling Procedure
Source Of Sampling Frame
The Population Information System maintained by the Population Register Centre of Finland
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Dwellings
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2013
End Date
12-2013
Type Of Data Source
Register,Survey
Interview Mode
- 2.3 % CAPI
- 97.7 % CATI
Percentage Of Proxy Interviews
10.6 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
The household design weights were multiplied by a simple adjustment n(sample)/n(respondents) in every stratum.
Coverage Adjustment Weight: Method
The calibration can be interpreted as integrative, i.e. both the household and person levels were included in the process. Calibrations were performed by the raking method with the SAS supporting CALMAR macro.
References
-
IE - Ireland
National Reference
Producer
Central Statistics Office (CSO)
Universe
Persons aged 16 years and over living in private households
Sampling Procedure
Sampling Design
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2013
End Date
12-2013
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
29.7 %
Weighting
References
Eurostat: EU Comparative Quality Report 2013.
-
AT - Austria
National Reference
Producer
Statistics Austria
Universe
All accommodations with at least one person aged 16+ who had her/his main residence in these accommodations.
Sampling Procedure
Source Of Sampling Frame
Central registration register ZMR (Zentrales Melderegister), a constantly updated population register based on the register of residence.
Sampling Design
- Probability
- stratified
- one stage
Primary Sampling Units
Dwellings
Secondary Sampling Units
Not used
Stratification Criteria
The sample of the first wave was stratified according to 207 interviewer units (Sprengel). These are regional divisions of federal territory which may be approximately combined to Austrian provinces (NUTS 2 units).
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 56.2 % CAPI
- 43.8 % CATI
Percentage Of Proxy Interviews
10.00 %
Weighting
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
For the estimation of weights a logistic regression model was set up to estimate the response probabilites of each household with explanatory variables known prior to the questionnaire.
Coverage Adjustment Weight: Method
As a reference data base the average of the quarters 1 to 3 of 2012 of the Microcensus was chosen. Additionally data from the main association of Austrian Social Security Institutions (Hauptverband der österreichischen Sozialversicherungsträger) were used to provide an accurate number of people who were receiving unemployment benefits (People who received benefits for more than one month during the income reference period were counted).
The adjustments were carried out on household level and on individual level and were done with reference to the following variables:
Household level: the household size (four categories: 1, 2, 3 household members and households with 4 and more household members), tenure status (two categories: rented flat/house or owned), and region (nine categories: Nuts II level). Individual level: Sex, age.
In addition to these variables adjustments were implemented to achieve coherence in the number of foreign citizens using Microcensus data the number of recipients of unemployment benefits for a duration of more than one months the number of recipients of income from employment (aged 15 and over) the number of recipients of income from pensions.References
-
CZ - Czech Republic
National Reference
Producer
Czech Statistical Office
Universe
All persons with usual residence in Czech dwellings (their only place of residence or their main place of residence) were included in the survey.
Sampling Procedure
Source Of Sampling Frame
Register of Census Enumeration Districts (small geographical areas covering the whole territory of the country)
Sampling Design
- Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
The sampling of CEUs is stratified by region (NUTS4) and municipality size.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2013
End Date
05-2013
Type Of Data Source
Survey
Interview Mode
- 40.1 % CAPI
- 59.9 % PAPI
Percentage Of Proxy Interviews
28.7 %
Weighting
Design Weight: Method
none
Non-response Weight: Method
United calibration for all the waves was used as the method for correcting non-response. The achieved sample was re-weighted using the integrated calibration technique (producing the same weights on household and personal level). This technique ensures that the weighted sample structure corresponds to a set of known external population characteristics. The calculations were implemented using the CALMAR software in SAS.
Coverage Adjustment Weight: Method
For the adjustments to external data the following calibration variables were used: Number of inhabited dwellings in each NUTS3 region, subdivided into family houses (detached and semi-detached houses) and flats, based on the 2001 Census and 2011 Census continuously updated from administrative sources of construction authorities and Population characteristics:and population characteristics (population totals in each NUTS3 region, economic activity in each NUTS3 region, demographic characteristics at the national level).
References
-
CY - Cyprus
National Reference
Corresponding National Study
Survey of Income and Living Conditions
Producer
Statistical Service of Cyprus
Sampling Procedure
Source Of Sampling Frame
The sampling frame used for the 2013 was the list of households from the 2011, Census of Population
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Geographical stratification criteria were used for the sample selection. The households were stratified in 9 strata based on District (Urban / Rural).
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2013
End Date
09-2013
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
4.5 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
The empirical response rate within each stratum provides an estimate of the response probability for all the households of the stratum.
Coverage Adjustment Weight: Method
The individual variables are aggregated at the household level by calculating household totals such as the number of male/female in the household, the number of persons aged 16+ etc. After that, calibration is done at the household level using the household variables and the individual variables in their aggregate form.At personal level the calibration variables used were the distribution of population by age and gender. Based on this calibration procedure and using the weight after non-response adjustment as the initial weight, the household and the personal cross-sectional weights were calculated.
References
-
SE - Sweden
National Reference
Producer
Statistics Sweden
Universe
The refence population is the whole Swedish population except short term migrants. People who stay in Sweden for no longer than 3-12 months are not covered.
Sampling Procedure
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
The sample is stratified by age in eight strata according to age.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2013
End Date
12-2013
Type Of Data Source
Register,Survey
Interview Mode
- 99.9 % CATI
- 0.1 % PAPI
Percentage Of Proxy Interviews
1.9 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse Selection of Probability
Non-response Weight: Method
The adjustment for non-response is done by straight expansion within each poststratum.
Coverage Adjustment Weight: Method
The adjustment for non-response is done by straight expansion within each poststratum.
References
-
SI - Slovenia
National Reference
Corresponding National Study
Central Register of Population
Producer
The Statistical office of the Republic of Slovenia
Universe
The reference population is defined with the persons in the Central Register of Population which are aged 16 years or more. The individuals with Slovenian citizenship as well as foreigners were included in the sampling frame.
Sampling Procedure
Source Of Sampling Frame
Central Register of Population (CRP)
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Individuals
Stratification Criteria
The sampling frame of persons aged 16 years or more is divided into 6 strata, which are defined according to the size of the settlement and the proportion of agricultural households in the settlement.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
01-2013
End Date
06-2013
Type Of Data Source
Register,Survey
Interview Mode
- 46.2 % CAPI
- 53.8 % CATI
Percentage Of Proxy Interviews
23.2 %
Weighting
Design Weight: Target
Person
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
The non-response factor was calculated for each stratum. First the sample was divided into three categories: responses, non-responses and out-of-scope units.
Coverage Adjustment Weight: Method
By the calibration procedures the weighted sums of some key variables are set to the known population values. These population values are obtained from the different administrative sources. For the calibration of weights we used SAS Macro Calmar. We performed calibration for the level of households, as well as for the level of the persons.
References
-
SK - Slovakia
National Reference
Producer
The Statistical Office of the Slovak Republic
Universe
Permanently occupied dwellings and houses (according to 2001 Population and Housing Census).
Sampling Procedure
Source Of Sampling Frame
2001 Population and Housing Census
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Stratification is done by regional criterion
(NUTS3) and by degree of urbanization in 48 strata.Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2013
End Date
05-2013
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
3.6 %
Weighting
Design Weight: Target
Households
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
"Non-response adjustments was solved by the correction of weights in relation to the response rate. Dividing households into strata (region and rotational group) are used. From assumption it is resulted that each household in stratum has the same probability of response. Then the empirical value of the response rate within the stratum gives the estimate of the probability of response for each household in the stratum." SK 2013, p.7
Coverage Adjustment Weight: Method
"Weights of the households sharing of expenditures was calibrated to external sources of number of households by number of membership in 7 administration regions." SK 2013, p.7
References
-
IS - Iceland
National Reference
Producer
Statistics Iceland
Universe
People in private households
Sampling Procedure
Source Of Sampling Frame
Iceland population register
Sampling Design
- Probability
- random
- not stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
The sample is post stratified
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2013
End Date
05-2013
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Weighting
Design Weight: Target
Person
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
Post stratification weights are used to adjust the data to the population. The information on the population comes from the national register. The weights both adjust for nonresponse and sampling error. The post stratification weights are based on age , sex and residence.
Coverage Adjustment Weight: Method
Results are calibrated with numbers from the national register taking into account the distribution of the population according to age, sex and residence.
References
-
UK - Great Britain
National Reference
Corresponding National Study
General Lifestyle Survey; Living Conditions Survey (Northern Ireland)
Producer
Office for National Statistics; Northern Ireland Statistics and Research Agency (Northern Ireland)
Universe
The reference population for the Family Resources Survey is all private households in the UK
Sampling Procedure
Sampling Design
- Probability
- stratified
- multi-stage
Primary Sampling Units
Postecode sectors
Secondary Sampling Units
Addresses
Stratification Criteria
" The PSUs are then sorted by three other variables (different for the two surveys), which are described below, which provides an implicit stratification. Stratifying ensures that the proportions of the sample falling into each group reflect those of the population. For the FRS, within each region the postcode sectors are ordered and grouped into eight equal bands using the proportion of households where the household reference person (HRP) is in National Statistics Socio-Economic Classification (NS-SEC) 1 to 3. Within each of these eight bands, the PSUs are ordered by the proportion of economically active adults aged 16-74 and formed into two further bands, resulting in sixteen bands for each region. These are then ordered according to the proportion of economically active males aged 16-74 who are unemployed. This set of stratifiers is chosen to have maximum effectiveness on the accuracy of two key variables: household income and housing costs. For the GLF, postcode sectors were stratified according to selected indicators taken from the 2001 Census. Sectors were initially ordered according to the proportion of households with no car, then divided into three bands containing approximately the same number of households. Within each band, sectors were re-ordered according to the proportion of households with a household reference person in socio-economic groups 1 to 5 and 13, and these bands were then subdivided into three further bands of approximately equal size. Finally, within each of these bands, sectors were re-ordered according to the proportion of people who were pensioners. The ordering by pensioners and socio-economic group was carried out in reverse order so as to maximise similarity between one band and the next." UK 2013, p.11
Panel Design
Data Collection
Start Date
05-2013
End Date
12-2013
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
23 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
"There is no correction for individual non-response, because only fully cooperating households are
included in the dataset. Household non-response is corrected for in the grossing procedure, which sets grossing
factors so that the population estimate is representative of the population in several dimensions." UK 2013, p.15Coverage Adjustment Weight: Method
"The grossing regime for Great Britain aims to calibrate population estimates derived from EU SILC data against seven different variables: Individuals (Age, sex and region), Dependants aged 16-19, Benefit units, Benefit units (Lone Parents), Households (Tenure type), Households (Council Tax Band), Households (Region).
The grossing regime for Northern Ireland is slightly different from that for the rest of the UK: Local taxes in Northern Ireland are collected through the rates system, so Council Tax Band as a control variable is not applicable. Northern Ireland housing data are based largely on small sample surveys. It is not desirabe to introduce the variance of one survey into another by using it to compute control totals; therefore tenure type has not been used as a control variable." UK 2013, p.15References
-
IT - Italy
National Reference
Producer
Italian National Institute of Statistics
Universe
All persons living in private households.
Sampling Procedure
Source Of Sampling Frame
Registers of the municipalities
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Households
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
06-2013
End Date
12-2013
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
33 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
Concerning with the individual-level non-response, the records of the non-respondent individual belonging to respondent households were totally imputed.
Concerning with the non-response adjustment at the household level, the base weights were adjusted by a correction factor for total non-response worked out as the reciprocal of the response probability for each household identified by the information we had on the extracted sample (for the households at wave 1) or gathered from the previous year of survey (for the households at wave 2, 3, 4). The response probability is obtained by a logistic regression model.Coverage Adjustment Weight: Method
After the non-response adjustments, the final weights were obtained applying a calibration of the household weights to external data sources (registers).
References
-
MT - Malta
National Reference
Producer
National Statistics Office Malta
Universe
All private households and their current members residing in Malta at the time of data collection. Persons living in institutions are excluded from the target population.
Sampling Procedure
Source Of Sampling Frame
updated Census of Population & Housing 2005
Sampling Design
- Probability
- random
- not stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Not applicable
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2013
End Date
06-2013
Type Of Data Source
Survey
Interview Mode
- 85.4 % CAPI
- 14.6 % CATI
Percentage Of Proxy Interviews
32.3 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
For new households, the adjustment for non-response at individual level was incorporated in the calculation of design weights. For old households (the remaining three panels), the adjustment for attrition was carried out through post-stratification. The variables used were age-group, sex and district (NUTS 4).
Coverage Adjustment Weight: Method
A temporary cross-sectional weight was created as the product of the design weight and non-response adjustment. This temporary weight was normalised and trimmed so as to lie within the lowest and highest deciles, thus reducing the range of the weights. The resulting weight was used as the initial weight for calibration. SAS-based CALMAR software was used for the calibration. The logit method was applied and the calibrating variables used were household size, districts (NUTS 4), household type and number of persons in a household.
References
-
PL - Poland
National Reference
Producer
Central Statistical Office of Poland
Universe
The survey unit was a household and all the household members who hav reached the age of 16 years by December 31, 2012.
Sampling Procedure
Sampling Design
- Probability
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
06-2013
End Date
07-2013
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
20.4 %
Weighting
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
Weights were adjusted with the use of household non-response rates estimated for each class of locality separately.
Coverage Adjustment Weight: Method
Using the integrated calibration method weights were calculated for individuals and for households simultaneously. To do this, the information about households was used and number of persons by age and gender. This information at the level of NUTS2, additionally classified by urban/rural areas, was derived from the 2002 Census and current demographic estimates.
References
-
PT - Portugal
National Reference
Corresponding National Study
ICOR (Income and living Conditions)
Producer
Statistics Portugal
Universe
All private households and their current members living in Portugal (Mainland, Açores and Madeira)
Sampling Procedure
Sampling Design
- Probability
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2013
End Date
06-2013
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
28.7 %
Weighting
References
Eurostat: EU Comparative Quality Report 2013.
-
RS - Serbia
National Reference
Producer
Central Statistics Office (CSO)
Universe
Persons aged 16 years and over living in private households
Sampling Procedure
Sampling Design
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
27.6 %
Weighting
References
-
CH - Switzerland
National Reference
Producer
Federal Statistics Office
Sampling Procedure
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Stratification Criteria
The seven major geographical regions (level NUTS2)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2013
End Date
09-2013
Type Of Data Source
Register,Survey
Interview Mode
- 0.2 % CAPI
- 99.8 % CATI
Percentage Of Proxy Interviews
3.8 %
Weighting
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
(Eurostat (2013). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CH, Appendix 7, pp. 3-8)
Coverage Adjustment Weight: Method
(Eurostat (2013). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CH, Appendix 7, pp. 8-12)
References
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ES - Spain
National Reference
Corresponding National Study
Survey of Income and Living Conditions Spain
Producer
National Statistics Institute (INE-Spain).
Universe
The target population was members of private households residing at main family addresses, and the households themselves.
Sampling Procedure
Source Of Sampling Frame
Municipal Register
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Addresses
Stratification Criteria
In each Autonomous Community [self-ruling region], first-stage units were stratified by the size of the municipality to which the census section belonged.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2013
End Date
07-2013
Type Of Data Source
Survey
Interview Mode
- 81.1 % CAPI
- 18.9 % CATI
Percentage Of Proxy Interviews
16.1 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
Adjustment for non-response is carried out by multiplying a certain factor to provide an estimate of the inverse probability of response in the stratum.
Coverage Adjustment Weight: Method
"The factor is weighted to adjust estimated distribution to the population distribution by Autonomous Community, age group and gender provided by the Demographic Projections Unit.
We have also adjusted the estimated distribution of households by size to our estimate in the first quarter of the current year for the Labour Force Survey (Encuesta de Población Activa - EPA).
For the calibration we used the CALMAR macro designed by the French Institut National de Statistique et Études Economiques (INSEE). "References
-
NL - Netherlands
National Reference
Producer
Statistics Netherlands
Universe
"The reference population of EU-SILC is all private households and their current members residing in the Netherlands at the time of data collection. The West Frisian Islands with the exception of Texel were excluded from the target population. This is also true
for persons living in collective households and in institutions." NL 2013, p.5Sampling Procedure
Sampling Design
- Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Addresses
Stratification Criteria
"The stratification variables used in this design are the 40 COROP-regions (NUTS3). These are regional areas within the Netherlands and are used for analytical purposes by, among others, Statistics Netherlands." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL 2013, p. 7)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
07-2013
End Date
08-2013
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
9.6 %
Weighting
References
-
EE - Estonia
National Reference
Producer
Statistics Estonia
Universe
All Estonian citizens and those having a living permission. Persons living in collective households are included in the reference population.
Sampling Procedure
Source Of Sampling Frame
Sampling frame for selection of new part of the sample was the 2011 Population and Housing Census. Census involves the data of all permanent residents, households and dwellings in Estonia.
Sampling Design
- Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Geographical stratification was used. The counties (and capital Tallinn) were grouped into three strata by the population size
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2013
End Date
06-2013
Type Of Data Source
Survey
Interview Mode
- 98.5 % CAPI
- 0.9 % CATI
- 0.6 % PAPI
Percentage Of Proxy Interviews
18.1 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
Correction for non-response was done with logistic regression model predicting the response probability of the household. Auxiliary variables were: sex and age of address-person, county group and urbanization status (rural/urban).
Coverage Adjustment Weight: Method
"Non-response corrected weights were calibrated to reproduce known population totals.
Calibration totals originated from demographic statistics published by Statistics Estonia with institutionalized persons deducted. Calibration was made on the following auxiliaries: County, Sex x age group; urbanization status (rural/urban).
"References
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EL - Greece
National Reference
Producer
Hellenic Statistical Authority
Universe
The reference population is all citizens officially living at Greek territory (population de facto).
Sampling Procedure
Source Of Sampling Frame
Sampling frame for selection of new part of the sample was the 2011 Population and Housing Census. Census involves the data of all permanent residents, households and dwellings in Estonia.
Sampling Design
- Probability
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Households
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
06-2013
End Date
12-2013
Type Of Data Source
Survey
Interview Mode
- 3.3 % CAPI
- 3.8 % CATI
- 92.9 % PAPI
Percentage Of Proxy Interviews
7.5 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
"Within each design stratum, the non-response adjustment of the responding households is carried
out by the inverse of the response rate, so as to “make up” for non-responding cases in that stratum. Target variable DB080 was adjusted for non-response for the variables DB 120 (record of contact at address) and DB 130 (household questionnaire result). The corrections were conducted at subsequent steps. The multiplication of DB080 with each one of the two corrections, results in a corrected DB080 weight that is used as initial weight in the calibration procedure."Coverage Adjustment Weight: Method
Calibration of the household and personal weights in conjunction is done with external data. The auxiliary variables used at household level are the household size, the tenure status and the region (NUTS2). At personal level the auxiliary variable used is the distribution of population by age and sex. The weights obtained after this procedure of calibration are the household cross-sectional weights. As all the household members reply to the household questionnaire, it is also the weight of each member of the household. The last step involves the calculation of the personal cross sectional weights for household members aged of 16+. The calibration procedure was applied again using as initial weights the weights of each member of the household and as auxiliary variable the distribution of population aged 16+ by age and sex.
References