Title
European Union Statistics on Income and Living Conditions 2012
EU-SILC 2012 contains the 2012 Module on housing conditions. The 2012 module includes eighteen variables of which sixteen should be asked at household level and two at personal level. For variables asked at household level, the mode of data collection is personal interview with the household respondent. For variables asked at individual level, the mode of data collection is personal interview with all current household members aged 16 years old and over or, if applicable, with the household selected respondent. Owing to the characteristics of the information to be collected, only personal interviews (proxy interviews as an exception for persons temporarily away or in incapacity) or extracted information from registers are allowed.
Geographical Coverage
EU-27 member states and Iceland, Turkey, Norway and Switzerland. Test implementation: Croatia, the former Yugoslav Republic of Macedonia (FYROM) and Serbia.
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 (Eurostat (2013): DESCRIPTION OF TARGET VARIABLES: Cross-sectional and Longitudinal. 2012 operation (Version May 2013), p. 74).
The 2012 module variables relate to four types of reference periods:
- Usual: an ordinary winter/summer, in the area where the dwelling is located (for the variables “dwelling comfortably warm during winter time” and “dwelling comfortably cool during summer time”).
- Last five years (for the variables related to the “change of the dwelling”). It refers to the five years prior to the date of the interview.
- Next six months (for the variables related to “risk of changing the dwelling”). It refers to the six months succeeding to the date of the interview.
- Current (for all other variables).
(Eurostat (2013): 2012 EU-SILC MODULE ON HOUSING CONDITIONS. Assessment of the implementation, pp. 3-4.)
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Country Specific Information: EU-SILC 2012
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LV - Latvia
Producer
Central Statistical Bureau of Latvia
Universe
Persons living in private households within national territory
Source Of Sampling Frame
Population Census 2000
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Area 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.
Number Of Rotational Groups
4
Start Date
04-2012
End Date
07-2012
Type Of Data Source
Register,Survey
Interview Mode
- 65 % CAPI
- 31 % CATI
- 4 % PAPI
Percentage Of Proxy Interviews
22.2 %
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The design weights adjusted for outliers were adjusted for non-response (in the household level) in each primary non-response group (NR-group) with correction coefficients. Non-response groups were defined as a set of variables – 4 rotational groups (DB075), 6 regions and 4 strata.
Coverage Adjustment Weight: Method
Cross-sectional weights were calibrated on a basis of demographic data by breaking them down by a degree of urbanization (3 groups), 11 age groups and sex. Another variable was demographic data by 6 statistical regions of Latvia.
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LU - Luxembourg
Corresponding National Study
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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
-
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.
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
37.2 %
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LT - Lithuania
Producer
Statistics Lithuania
Universe
The target population of EU-SILC is all persons living in private households within the national territory of Lithuania at the time of data collection. Collective households and institutions are excluded from the target population.
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.
Number Of Rotational Groups
4
Start Date
04-2012
End Date
06-2012
Type Of Data Source
Survey
Interview Mode
- 14 % CAPI
- 35 % CATI
- 50 % PAPI
- 1 % Self-administered
Percentage Of Proxy Interviews
16.3 %
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
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HR - Croatia
Corresponding National Study
Croatian Bureau of Statistics
Producer
Private households in Croatia. Institutional households (such as homes, prisons, hospitals for the permanent accommodation of patients etc.) are not covered.
Sampling Design
Probability
- multi-stage
Number Of Rotational Groups
4
Start Date
04-2012
End Date
06-2012
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
40.8 %
Eurostat: Comparative EU Quality Report 2012.
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RO - Romania
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.
Source Of Sampling Frame
Multifunctional Sample of Territorial Areas (EMZOT)
Sampling Design
Probability
- random
- 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).
Number Of Rotational Groups
4
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
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’’.
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NO - Norway
Producer
Statistics Norway
Universe
Persons aged 16 years or more at December 31 N-1 who are living outside an institution.
Source Of Sampling Frame
The sampling frame is a copy of the central population register called BEREG. This register is daily updated with information from local population register offices.
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
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.
Number Of Rotational Groups
4
Start Date
02-2012
End Date
07-2012
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
35.8 %
Design Weight: Target
Person
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.
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HU - Hungary
Producer
Hungarian Central Statistical Office
Universe
The target population of EU-SILC is the Hungarian population
living in private household in the territory of Hungary.
Source Of Sampling Frame
Updated dataset of addresses used in the 2001 population and housing census
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Area units
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.
Number Of Rotational Groups
4
Start Date
03-2012
End Date
04-2012
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
19.79 %
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.
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FR - France
Corresponding National Study
Statistiques sur les Ressources et les Conditions de Vie
Producer
INSEE - National Institute for Statistics and Economic Studies
Primary Sampling Units
Municipality
Secondary Sampling Units
Dwellings
Number Of Rotational Groups
9
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
26.2 %
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BG - Bulgaria
Producer
National Statistical Institute
Universe
"All citizens officially living at Bulgarian territory (population de facto).
The definition of household that Eurostat recommends is used."
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.
Number Of Rotational Groups
4
Start Date
05-2013
End Date
07-2013
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
15.8 %
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).
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BE - Belgium
Corresponding National Study
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Producer
Statistics Belgium
Universe
All private households and their current members residing in the territory.
Source Of Sampling Frame
The Central Population Register includes all private households and their current members residing in the territory.
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Households
Stratification Criteria
"The main stratification criterion is the NUTS2 level. The 11 sampling strata are the 10 Belgian provinces (5 in Flanders – coded BE21-BE25 – and 5 in Wallonia – coded BE31 to BE35) and the Brussels Capital Region (BE10).Further implicit stratification is obtained by sorting PSUs (sub-municipalities) on mean income and sorting SSUs (households) in selected PSUs on age of reference person.", BE 2012, p.6
Number Of Rotational Groups
4
Start Date
02-2012
End Date
12-2012
Type Of Data Source
Survey
Percentage Of Proxy Interviews
19.6 %
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.
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DE - Germany
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.
Number Of Rotational Groups
4
Type Of Data Source
Survey
Interview Mode
- 100 % Self-administered
Percentage Of Proxy Interviews
25.7 %
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DK - Denmark
Producer
Statistics Denmark
Universe
Persons aged 13+ living in private households.
Source Of Sampling Frame
Central Population Register (CPR)
Sampling Design
Probability
- random
- not stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Number Of Rotational Groups
4
Start Date
04-2012
End Date
07-2012
Type Of Data Source
Register,Survey
Interview Mode
- 41 % CATI
- 59 % Self-administered
Percentage Of Proxy Interviews
50.8 %
Design Weight: Target
Household
Non-response Weight: Method
Calibration using external data.
Coverage Adjustment Weight: Method
"All external data are based on variables in administrative registers. Exactly the same variables are found in the sampled households. The following external variables have been used: Equivalised disposable income, size of the household, education level of the person with the highest professional status in the household and socio-economic status of main income holder in the household.
In addition to correcting for bias due to non-response on the household level, the SILC cross-sectional weights should reproduce certain demographic and poverty distributions on the personal level. Therefore some data on the personal level have been integrated in the calibration, that risk of poverty, age, sex, poverty, family type, education, income mass and income groups. From 2010 the income mass within income groups has been weighted to fit the register better. This has been done in order to obtain better consistency between our register data and the EU-SILC data, when measuring especially the Gini coefficient." DK 2012, p.8
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FI - Finland
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.
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
Number Of Rotational Groups
4
Start Date
02-2012
End Date
05-2012
Type Of Data Source
Register,Survey
Interview Mode
- 3 % CAPI
- 97 % CATI
Percentage Of Proxy Interviews
45.4 %
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.
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IE - Ireland
Producer
Central Statistics Office (CSO)
Universe
Persons aged 16 years and over living in private households
Number Of Rotational Groups
4
Type Of Data Source
Register,Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
21.9 %
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AT - Austria
Producer
Statistics Austria
Universe
All accommodations with at least one person aged 16+ who had her/his main residence in these accommodations.
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 206 interviewer units (Sprengel). These are regional divisions of federal territory which may be approximately combined to Austrian provinces (NUTS 2 units).
Number Of Rotational Groups
4
Start Date
03-2012
End Date
08-2012
Type Of Data Source
Survey
Interview Mode
- 57 % CAPI
- 43 % CATI
Percentage Of Proxy Interviews
9.5 %
Design Weight: Target
Household
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
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CZ - Czech Republic
Corresponding National Study
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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.
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.
Number Of Rotational Groups
4
Start Date
02-2012
End Date
05-2012
Type Of Data Source
Survey
Interview Mode
- 37 % CAPI
- 63 % PAPI
Percentage Of Proxy Interviews
23.2 %
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).
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CY - Cyprus
Corresponding National Study
Survey of Income and Living Conditions
Producer
Statistical Service of Cyprus
Universe
All the households and their members living in the areas under the effective control of the Government of the Republic of Cyprus. Population in collective households and institutions is excluded.
Source Of Sampling Frame
The sampling frame used for the 2012, survey was almost completely updated. It 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).
Number Of Rotational Groups
4
Start Date
05-2012
End Date
09-2012
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
16.84 %
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SE - Sweden
Producer
Statistics Sweden
Number Of Rotational Groups
4
Start Date
02-2012
End Date
12-2012
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
2.3 %
Eurostat: EU Comparative Quality Report 2012.
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SI - Slovenia
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.
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.
Number Of Rotational Groups
4
Start Date
03-2012
End Date
06-2012
Type Of Data Source
Register,Survey
Interview Mode
- 48 % CAPI
- 52 % CATI
Percentage Of Proxy Interviews
20.1 %
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.
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SK - Slovakia
Producer
The Statistical Office of the Slovak Republic
Universe
Permanently occupied dwellings and houses (according to 2001 Population and Housing Census).
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.
Number Of Rotational Groups
4
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
3.9 %
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 2012, p.9
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 2012, p.9
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IS - Iceland
Producer
Statistics Iceland
Universe
People in private households
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
Number Of Rotational Groups
4
Start Date
04-2012
End Date
05-2012
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
0.2 %
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.
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UK - Great Britain
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
Source Of Sampling Frame
Postcode Address File (PAF)
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Postecode sectors
Secondary Sampling Units
Addresses
Start Date
05-2012
End Date
12-2012
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
20.6 %
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IT - Italy
Producer
Italian National Institute of Statistics
Universe
All persons living in private households.
Source Of Sampling Frame
Registers of the municipalities
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Households
Number Of Rotational Groups
4
Start Date
02-2012
End Date
12-2012
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
27.2 %
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).
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MT - Malta
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.
Source Of Sampling Frame
2005 Census of Population & Housing
Sampling Design
Probability
- random
- not stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Not applicable
Number Of Rotational Groups
4
Start Date
05-2012
End Date
08-2012
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
30.3 %
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.
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PL - Poland
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, 2010.
Source Of Sampling Frame
TERYT system, i.e. Domestic Territorial Division Register
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
The strata were the voivodships (NUTS2), those in primary sampling units were classified by class of locality. In urban areas census enumeration areas were grouped by size of town, the five largest districts were treated as strata. In rural areas strata were represented by rural gminas (NUTS5) of a subregion (NUTS3) or of a few neighbouring poviats (NUTS4). Altogether 211 strata were distinguished. PL 2012, p.9
Number Of Rotational Groups
4
Start Date
06-2012
End Date
07-2012
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
21.2 %
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.
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PT - Portugal
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) by the end of 2011.
Source Of Sampling Frame
Census of Population and Housing (Census/2001)
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
The primary sampling units are stratified by NUTS III.
Number Of Rotational Groups
4
Start Date
05-2012
End Date
07-2012
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
35.13 %
-
CH - Switzerland
Producer
Federal Statistics Office
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
The seven major geographical regions (level NUTS2)
Number Of Rotational Groups
4
Start Date
02-2012
End Date
08-2012
Type Of Data Source
Register,Survey
Interview Mode
- 0.1 % CAPI
- 99.9 % CATI
Percentage Of Proxy Interviews
3.5 %
Design Weight: Target
Inverse of Selection Probability
Design Weight: Method
(Eurostat (2012). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CH, Appendix 9, pp. 3-8 )
Non-response Weight: Method
(Eurostat (2012). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CH, Appendix 9, pp. 8-12 )
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ES - Spain
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.
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.
Number Of Rotational Groups
4
Start Date
05-2012
End Date
07-2012
Type Of Data Source
Survey
Interview Mode
- 86 % CAPI
- 14 % CATI
Percentage Of Proxy Interviews
8.1 %
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).
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NL - Netherlands
Producer
Statistics Netherlands
Number Of Rotational Groups
4
Start Date
07-2012
End Date
10-2012
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
1.6 %
Eurostat: EU Comparative Quality Report 2012.
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EE - Estonia
Producer
Statistics Estonia
Universe
All Estonian citizens and those having a living permission. Persons living in collective households are included in the reference population.
Source Of Sampling Frame
Sampling frame for selection of the new part of the sample was the Population Register of Estonia. This is the document-based register of Estonian citizens and those having a living permission.
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
Number Of Rotational Groups
4
Start Date
02-2012
End Date
05-2012
Type Of Data Source
Survey
Interview Mode
- 98 % CAPI
- 1 % CATI
- 1 % PAPI
Percentage Of Proxy Interviews
24 %
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).
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EL - Greece
Producer
Hellenic Statistical Authority
Universe
The reference population is all citizens officially living at Greek territory. It includes all private households and their current members residing in the territory, independently of any socio-economic
characteristics they may have.
Source Of Sampling Frame
Census Population
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Households
Stratification Criteria
There are two levels of stratifications: a geographical stratification (NUTS2) into 13 standard administrative regions at the first stage and next, within each NUTS2, another one is done by degree of urbanization and population size. The total number of strata is 90. EL 2012, p.20
Number Of Rotational Groups
4
Start Date
06-2012
End Date
06-2012
Type Of Data Source
Survey
Interview Mode
- 2 % CAPI
- 8 % CATI
- 90 % PAPI
Percentage Of Proxy Interviews
8 %
Design Weight: Target
Households
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". EL 2012, p. 24f.
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." EL 2012, p.25