Title
European Union Statistics on Income and Living Conditions 2007
EU-SILC 2007 contains the 2007 Module on housing conditions. The 2007 Module variables relate to two types of units: the household (all variables except those related to the 'change of dwelling'), and the household respondent (variables related to the 'change of dwelling').
Geographical Coverage
EU-27 member states and Iceland, Turkey, Switzerland (first implementation) and Norway . First implementation in Romania.
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 the 2007 Module: 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 two years (for the variables related to the 'change of dwelling'). Current (for all other variables). (Eurostat (2009): EU-SILC MODULE 2007 ON HOUSING CONDITIONS Assessment of the implementation, pp. 3-4.)
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Country Specific Information: EU-SILC 2007
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LV - Latvia
Corresponding National Study
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Producer
Central Statistical Bureau of Latvia
Universe
All persons aged 16+ at the end of the income reference period were selected for a personal interview.
Source Of Sampling Frame
Population Census 2000 (first stage) and Population register (second stage)
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Addresses
Stratification Criteria
The stratification was made depending on a degree of urbanization of the area. Riga (the capital city), six largest towns, other towns and rural areas form four strata.
Number Of Rotational Groups
4
Start Date
02-2007
End Date
11-2007
Type Of Data Source
Register,Survey
Interview Mode
- 81.16 % CAPI
- 7.48 % CATI
- 11.31 % PAPI
- 0.05 % Self-administered
Percentage Of Proxy Interviews
5.36 %
Design Weight: Target
Address
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The design weights adjusted for outliers were adjusted for non-response (in household level) in each primary sampling unit with correction coefficients.
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
-
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) + Sample of international civil servants
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Sampling Method
In 2003, first year of the survey, two samples are drawn independently:
- A sample of "tax" households, which are in fact a group of persons who depends on the same Social Security system.
- A sample of dwellings wherein none of the members depends on Luxembourgish Social Security system.
- A "tax household" is basically a group of persons living in the same dwelling and who depend on the same Luxembourgish Social Security system.
Start Date
01-2007
End Date
06-2007
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
23.00 %
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LT - Lithuania
Corresponding National Study
-
Producer
Statistics Lithuania
Universe
Persons aged 16+ included in the Residents' Register.
Source Of Sampling Frame
Residents' Register
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
The stratification is done by the degree of urbanization into 7 strata (5 largest cities, other cities and rural area).
Number Of Rotational Groups
4
Start Date
05-2007
End Date
07-2007
Type Of Data Source
Survey
Interview Mode
- 3.79 % CATI
- 95.32 % PAPI
- 0.89 % Self-administered
Percentage Of Proxy Interviews
20.30 %
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.
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.
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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
All citizens officially living in private households in Romania.
Source Of Sampling Frame
The sample of census enumeration units (PSU) is drawn from
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 were the area where a certain PSU is located (urban or rural area) and county (NUTS 3 level).
Number Of Rotational Groups
4
Start Date
06-2007
End Date
06-2007
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
19.85 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Data are reweighted by adjusting the weights of the responding households with the inverse of
the response rate. As explicative variables for nonresponse,
region and area of residence (urban/ rural) are used. For the second, third and fourth wave the region is used.
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. Calibration variables were distribution of the population by age group, area of residence (urban/
rural) 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
Corresponding National Study
-
Producer
Statistics Norway
Universe
Persons aged 16+ registered in the central population register.
Source Of Sampling Frame
Register of participants in the Population and housing census in 1990 (FoB90).
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Individuals
Stratification Criteria
The standard sampling frame is first divided into a number of primary sampling areas and these again are divided into 109 subpopulations, called strata.
Number Of Rotational Groups
8
Start Date
01-2007
End Date
07-2007
Type Of Data Source
Register,Survey
Interview Mode
- 0.6 % CAPI
- 99.4 % CATI
Percentage Of Proxy Interviews
27.0 %
Design Weight: Target
Household
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. The weights are then calculated as ‘gross
sample n / net sample n’ in each stratum.
Coverage Adjustment Weight: Method
No adjustments are made, except for children's weights.
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HU - Hungary
Corresponding National Study
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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
Dwellings
Stratification Criteria
Localities of Hungary were stratified by size.
Sampling Method
The Hungarian EU-SILC survey was a supplementary survey in 2005, the new rotational group in 2006 was standalone and newly introduced rotational group in 2007 was similar. It has a stratified two stage sample design in a part of the population (part I, type I), while a stratified one stage sample design on the other part of the population (part II, type II). Part II population consists of mostly the bigger localities, part I consists of the rest.
Number Of Rotational Groups
4
Start Date
03-2007
End Date
05-2007
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
20.13 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
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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BG - Bulgaria
Corresponding National Study
-
Producer
Bulgaria National Statistical Institute
Universe
The data base includes all private households and their current members residing in the country.
Source Of Sampling Frame
Population census 2001
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 (28 of urban and 28 of rural population). Municipalities and settlements are ranged according to the number of their population within each stratum.
Number Of Rotational Groups
4
Start Date
05-2007
End Date
08-2007
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
30.11 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The design weights were modified by a factor inversely proportional to
the response rate within each "homogeneous group". Coefficients of these corrections were computed separately according to classes of locality as ratios: sum of design weights of selected units to the sum of design weights of responding units.
Coverage Adjustment Weight: Method
Calibration is done on individual-level data, imposing equality of g-weights for individuals in the same household. We used truncated linear function in order to limit g-weights close enough to 1.
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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
Source Of Sampling Frame
1999 Census + Sampling frame of new dwellings
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Dwellings
Number Of Rotational Groups
9
Start Date
05-2007
End Date
07-2007
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
27.9 %
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BE - Belgium
Corresponding National Study
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Producer
Statistics Belgium
Universe
All household members 16+ at the time of the interview are selected for a personal interview.
Source Of Sampling Frame
Central Population Register
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Households
Stratification Criteria
The stratification criterion is the region (NUTS2 level). The 11 strata are the 10 provinces of Belgium and the Brussels Capital Region.
Number Of Rotational Groups
4
Start Date
04-2007
End Date
11-2007
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
14.23 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
For the “old” households, nonresponse can be linked with SILC information. To explain initial nonresponse for the “new” households auxiliary information from the Population Register (household size, urban/rural character) and the Financial Statistics (median fiscal income by municipality) is needed.
Coverage Adjustment Weight: Method
Calibration can be done together for “old” and “new” households.
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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.
Source Of Sampling Frame
German micro census
Number Of Rotational Groups
4
Type Of Data Source
Survey
Interview Mode
- 100 % Self-administered
Percentage Of Proxy Interviews
21.2 %
Eurostat: 2007 EU Comparative Quality Report.
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DK - Denmark
Corresponding National Study
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Producer
Statistics Denmark
Universe
Persons aged 13+ living in private households.
Source Of Sampling Frame
Register of Population of Statistics Denmark
Sampling Design
Probability
- random
- not stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
Not applicable.
Number Of Rotational Groups
4
Type Of Data Source
Register,Survey
Interview Mode
- 94.19 % CATI
- 5.81 % Self-administered
Percentage Of Proxy Interviews
49.13 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Calibration using external data.
Coverage Adjustment Weight: Method
Adjustment are based on a calibration using external data on the household level. All external data are based on variables in administrative registers. 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 is socio-economic status and poverty, age, sex and poverty, family type, education, equivalised income group, income mass and income groups.
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FI - Finland
Corresponding National Study
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Producer
Statistics Finland
Universe
The population register data included 4,233,729 non-institutional persons aged 16+.
Source Of Sampling Frame
Population Information System
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Dwellings
Stratification Criteria
Stratification is done by socio-economic categorisation of the household-dwelling units (wage earners, entrepreneurs, farmers, pensioners, others and information on taxable income level, 13 strata).
Number Of Rotational Groups
4
Start Date
01-2007
End Date
06-2007
Type Of Data Source
Register,Survey
Interview Mode
- 3.38 % CAPI
- 96.62 % CATI
Percentage Of Proxy Interviews
44.14 %
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 nonresponse-adjusted weights were adjusted for the number of survey years households in each wave and then used as input weights in calibration (the raking method) conducted with the macro CALMAR for the accepted households. The calibration process was carried out separately for all waves (rotation groups). The calibration could be interpreted as integrative, i.e. both the household and the person levels were included in the process.
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IE - Ireland
Number Of Rotational Groups
4
Date of Data Collection
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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)
Sampling Design
Probability
- systematic
- not stratified
- one stage
Primary Sampling Units
Dwellings
Secondary Sampling Units
Not used
Stratification Criteria
The sample was stratified by geographical units ("Sprengel").
Number Of Rotational Groups
4
Start Date
03-2007
End Date
09-2007
Type Of Data Source
Survey
Interview Mode
- 93.99 % CAPI
- 6.01 % CATI
Percentage Of Proxy Interviews
19.88 %
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
For the estimation of weights a logistic regression model was set up to predict response probabilities.
Coverage Adjustment Weight: Method
As reference data base the average of the four quarters of the Microcensus 2007 was chosen. Additionally data from the main association of Austrian Social Security Institutions were used to provide an accurate number of people who were receiving unemployment benefits. The adjustments were carried out on household and individual level and were done with reference to the variables household size, tenure status, region, sex and age.
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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. This includes also foreign nationals and subtenants living in the selected dwelling.
Source Of Sampling Frame
Census Enumeration Districts
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
The stratification is done by geographical criteria (NUTS4) and the municipality size (< 2.000 inhabitants; 2.000-9.999 inhabitants; 10.000 – 49.999 inhabitants and 50 000 < inhabitants).
Number Of Rotational Groups
3
Start Date
02-2007
End Date
04-2007
Type Of Data Source
Survey
Interview Mode
- 99.68 % PAPI
- 0.32 % Self-administered
Percentage Of Proxy Interviews
8.86 %
Design Weight: Target
Dwelling
Design Weight: Method
None
Non-response Weight: Method
Second wave households utilized information, which was obtained from previous SILC wave, and to adjust their previous year weights for attrition. Therefore, united calibration for all the waves was used as the method for correcting non-response.
Coverage Adjustment Weight: Method
For the adjustments to external data the following calibration variables were used: number of inhabited dwellings in each NUTS3 region (based on the 2001 Census continuously updated from administrative sources of construction authorities) 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
-
Producer
Statistical Service of Cyprus
Universe
The reference population is all households and their members living in the areas under the effective control of the Government of the Republic of Cyprus.
Source Of Sampling Frame
2001 Census of Population
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Stratification is done by geographical criterion into 9 strata.
Number Of Rotational Groups
4
Start Date
03-2007
End Date
08-2007
Type Of Data Source
Survey
Interview Mode
- 99.97 % CAPI
- 0.03 % PAPI
Percentage Of Proxy Interviews
17.50 %
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.
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SE - Sweden
Corresponding National Study
-
Producer
Statistics Sweden
Universe
The whole Swedish population except short-term migrants (3-12 months)
Source Of Sampling Frame
Total Population Register of Sweden
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
/
Number Of Rotational Groups
4
Start Date
01-2007
End Date
12-2007
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
4.08 %
Design Weight: Target
Person
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
From the register of total population, the number of individuals are counted within groups of sex and age. These categories generate 16 poststrata. Stratum 1- 8 contains men and stratum 9-16 women. All members in the sampled individuals household belong to the same poststratum. The non-response adjustment is carried out by straight expansion within each poststratum.
Coverage Adjustment Weight: Method
From the register of total population (RTP) we compute the number of individuals and the number households according to married people within each stratum when the sample is drawn. We have no possibilities to calibrate with other external data.
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SI - Slovenia
Corresponding National Study
-
Producer
Statistical Office of the Republic of Slovenia
Universe
Persons aged 16+ living in Slovenia.
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
02-2007
End Date
06-2007
Type Of Data Source
Register,Survey
Interview Mode
- 44.50 % CAPI
- 55.50 % CATI
Percentage Of Proxy Interviews
26.54 %
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. Then the non-response adjustment factor is calculated.
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.
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SK - Slovakia
Corresponding National Study
-
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
Start Date
04-2007
End Date
04-2007
Type Of Data Source
Survey
Interview Mode
- 99.35 % PAPI
- 0.65 % Self-administered
Percentage Of Proxy Interviews
6.39 %
Design Weight: Target
Household
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. We used dividing households into strata (region and rotational group) and we resulted from assumption 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.
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.
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IS - Iceland
Corresponding National Study
-
Producer
Statistics Iceland
Universe
Persons 16+ living 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
Post stratification weights are based on age, sex and residence.
Number Of Rotational Groups
4
Start Date
02-2007
End Date
07-2007
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
0 %
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 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 Household Survey
- Living Conditions Survey (Northern Ireland)
Producer
- Office for National Statistics
- Northern Ireland Statistics and Research Agency (Northern Ireland)
Universe
Adults aged 16+.
Source Of Sampling Frame
Postcode address file
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Postecode sectors
Secondary Sampling Units
Dwellings
Stratification Criteria
Stratification is done by postcode sectors (allocated to 30 major strata).
Number Of Rotational Groups
4
Start Date
01-2007
End Date
02-2007
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
9.34 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
For the first wave for a given rotational group, information from the 2001 Census and GHS is used to weight for non-response. This was done using 2001 data and response classes were formed based on propensity to respond, given certain characteristics. For EU-SILC, households are given a different non-response weight depending on the response class to which they belong.
Coverage Adjustment Weight: Method
The population totals of the number of people living in private households within the UK are broken down by 12 age by sex categories and seven regional categories to give 19 calibration groups as shown below. A generalised regression model is then used to produce a set of calibration weights at a household level, such that the sum of the weights across persons within each of the calibration groups equal the population totals.
This procedure is carried out using Stats Canada’s GES package. The calibration weight is applied to the product of the design weights and non-response weight.
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IT - Italy
Corresponding National Study
-
Producer
Istat: National Institute for 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
Stratification Criteria
Stratification of PSU is done by the number of inhabitants in order to have an approximately constant number of inhabitants in each stratum. SSUs are not stratified.
Number Of Rotational Groups
4
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
16.42 %
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 (wave 1) or gathered from the previous year of survey (wave 2, 3, 4).
Coverage Adjustment Weight: Method
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 Institute of Statistics
Universe
The reference population is composed of 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
Water Services database and [...] the 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 as no stratification is used for EU-SILC in Malta." (Eurostat (2007). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), MT, p.3.)
Number Of Rotational Groups
4
Start Date
06-2007
End Date
10-2007
Type Of Data Source
Survey
Interview Mode
- 66.2 % CAPI
Percentage Of Proxy Interviews
33.8 %
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
Adjustment for non-response to compensate for panel attrition was carried out separately for each panel. This was done through post-stratification at individual level. The variables used for this were 5-year age-groups (as at the year of entry into the survey) and sex.(Eurostat (2007). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), MT, p.5.)
Final Weighting: Method
For the 2nd and subsequent panels of the longitudinal component, the base weights RB060 were computed by adjusting the cross-sectional weight for the year of entry into the survey for panel attrition. A rescaling of weights to reflect the target population was also carried out. The longitudinal weights RB062 and RB063 were obtained by calibrating the base weights using 2006 and 2005 population benchmarks respectively. The calibration was carried out using CALMAR. The household cross-sectional weight DB090 was derived from the base weights and was calibrated at household level using CALMAR." (Eurostat (2007). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), MT, pp.6-7.)
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PL - Poland
Corresponding National Study
-
Producer
Central Statistical Office of Poland
Universe
Private households and all household members 16+.
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.
Number Of Rotational Groups
4
Start Date
05-2007
End Date
06-2007
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
17.18 %
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
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
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Producer
Statistics Portugal
Universe
All private households and their current members living in Portugal (Mainland, Açores and Madeira) by the end of 2006.
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 (areas of the Master Sample) are stratified by NUTS 3 but for EU-SILC purposes a sub-sample of areas were selected independently in each NUTS 2.
Number Of Rotational Groups
4
Start Date
05-2007
End Date
07-2007
Type Of Data Source
Survey
Interview Mode
- 92.01 % CAPI
- 7.99 % PAPI
Percentage Of Proxy Interviews
16.33 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The non-response adjustment depends on the number of times the panel is being surveyed. A response probability is calculated in each region NUTS II and therefore it is assumed that all units have the same response propensity within the region they belong to.
Coverage Adjustment Weight: Method
Adjustments are made for the whole sample (combining the four sub-samples) at household and person level using the SAS macro CALMAR. An integrative calibration is applied to ensure consistency between household and persons because all household members receive the same cross-sectional weight of the household they belong to. In the case of the households the calibration variables are “number of households by household size (1, 2, 3 and 4 or more household members)” and “number of households by NUTS II”. The source of the information is the Labour Force Survey at the second quarter of 2007. The calibration variables for persons are the distribution of the population by five year age groups and gender according to the Independent Estimates of the Population in 31/12/2006.
Eurostat: 2007 Intermediate Quality Report PT
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CH - Switzerland
Date of Data Collection
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EL - Greece
Corresponding National Study
-
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 was 90.
Number Of Rotational Groups
4
Start Date
04-2007
End Date
06-2007
Type Of Data Source
Survey
Interview Mode
- 14.89 % CAPI
- 2.10 % CATI
- 80.75 % PAPI
- 2.26 % Self-administered
Percentage Of Proxy Interviews
6 %
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.
Coverage Adjustment Weight: Method
Calibration of household and personal weights in conjunction is done with external data.
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ES - Spain
Corresponding National Study
Survey of Income and Living Conditions Spain
Producer
Spanish Statistical Office
Universe
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
Dwellings
Stratification Criteria
The stratification is done by the size of the municipality to which the census section belonged into 7 strata at first stage. An independent sample was designed in each Autonomous Community to represent it in order to have regional data.
Sampling Method
There is no stratification and no sub-sampling within second stage, all households usually residing in those addresses were surveyed.
Number Of Rotational Groups
4
Start Date
03-2007
End Date
07-2007
Type Of Data Source
Survey
Interview Mode
- 92.94 % CAPI
- 7.06 % CATI
Percentage Of Proxy Interviews
41.69 %
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 above 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 (EPA).
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NL - Netherlands
Corresponding National Study
-
Producer
Statistics Netherlands
Universe
All registered persons living in the Netherlands aged 16+.
Source Of Sampling Frame
1. Households which participated in LFS survey and are willing to cooperate also to EU-SILC survey (over 16). 2. All residents over 65 (set of addresses from Population Register).
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Addresses
Stratification Criteria
Stratification involves the division of the population into strata from which
independent samples are taken. It is done by geographical criteria (NUTS3) into 40 strata.
Number Of Rotational Groups
4
Start Date
06-2007
End Date
10-2007
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
4.70 %
Design Weight: Target
Person
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The method of logistic regression was adopted to approximate the response probabilities for the new
rotational group. The response probabilities were modelled by the explanatory variables age, degree of
urbanisation, type of household, and labour force status. For the old rotational groups a proper model
could not be fitted using logistic regression. Therefore the response probabilities were considered equal
for all persons in the response.
Coverage Adjustment Weight: Method
The calibration was performed using linear consistent weighting, so that individuals within the household have identical weights equal to the household weight. The set of variables used for calibration includes the smaller subset suggested by Eurostat (in document EU-SILC 065/04). Additional calibration variables that correlate strongly with the target variables were added: income data and data on tenure status from the
income register.
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EE - Estonia
Corresponding National Study
-
Producer
Statistics Estonia
Universe
All Estonian citizens and those having a living permission.
Source Of Sampling Frame
Population Register of Estonia
Sampling Design
Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
The stratification is done by geographical criteria and population size into three strata (big counties,
small counties and Hiiu County).
Number Of Rotational Groups
5
Start Date
03-2007
End Date
07-2007
Type Of Data Source
Survey
Interview Mode
- 97.60 % CAPI
- 0.21 % CATI
- 2.17 % PAPI
- 0.02 % Self-administered
Percentage Of Proxy Interviews
11.24 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Correction for nonresponse 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
Calibration was performed using population data from Estonial Population Register according to sex, age-groups, county and urbanization.