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Study: EU-SILC 2005
Titles
| Title | European Union Statistics on Income and Living Conditions 2005 |
|---|
Abstract
EU-SILC 2005 contains the 2005 Module on intergenerational transmission of poverty. The Module information will be provided for all current household members or if applicable for all selected respondents, aged over 24 and less then 66.
Coverage
Geographical Coverage
EU-25 member states and Iceland and Norway.
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: DESCRIPTION OF SILC USER DATABASE SECONDARY TARGET VARIABLES: MODULE 2005 Inter-generational transmission of poverty, p. 2.)
The reference period for the 2005 Module is when the interviewee was a young teenager, between the ages of 12 and 16. If the respondent hesitates or asks for a specific age, the age of 14 should be used. Any changes that occurred after the reference period should not be taken into account; the interviewer must accentuate the fact that the reference period is when the interviewee was a young teenager. (Eurostat: EU-SILC 2005 MODULE ON INTERGENERATIONAL TRANSMISSION OF POVERTY. Assessment of the implementation, p. 14.)
DOIs
References
Eurostat: DESCRIPTION OF SILC USER DATABASE SECONDARY TARGET VARIABLES: MODULE 2005 Inter-generational transmission of poverty.
Country Specific Information: EU-SILC 2005
-
LV - Latvia
National Reference
Corresponding National Study
-
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.
Sampling Procedure
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.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2005
End Date
09-2005
Type Of Data Source
Survey
Interview Mode
- 98.94 % PAPI
- 1.06 % Self-administered
Percentage Of Proxy Interviews
5.81 %
Weighting
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.
References
-
LU - Luxembourg
National Reference
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
-
Sampling Procedure
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
Stratification Criteria
Social Security data
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.
Panel Design
Data Collection
Start Date
02-2005
End Date
08-2005
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
22.80 %
Weighting
References
-
LT - Lithuania
National Reference
Corresponding National Study
-
Producer
Statistics Lithuania
Universe
Persons aged 16+ included in the Residents' Register.
Sampling Procedure
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).
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2005
End Date
07-2005
Type Of Data Source
Survey
Interview Mode
- 1.15 % CATI
- 97.18 % PAPI
- 1.67 % Self-administered
Percentage Of Proxy Interviews
13.99 %
Weighting
Design Weight: Target
Household
References
-
NO - Norway
National Reference
Corresponding National Study
-
Producer
Statistics Norway
Universe
Persons aged 16+ registered in the central population register.
Sampling Procedure
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.
Panel Design
Number Of Rotational Groups
8
Data Collection
Start Date
01-2007
End Date
07-2007
Type Of Data Source
Register,Survey
Interview Mode
- 0.78 % CAPI
- 99.22 % CATI
Percentage Of Proxy Interviews
28.06 %
Weighting
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.
References
-
HU - Hungary
National Reference
Corresponding National Study
-
Producer
Hungarian Central Statistical Office
Universe
The target population of the survey was the population living in private households covering the total national territory of Hungary.
Sampling Procedure
Source Of Sampling Frame
Census 2001
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Dwellings
Stratification Criteria
Localities of the country are stratified by General Election
Districts and size (measured by the number of dwellings). The population are divided into 403 strata.Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2005
End Date
06-2005
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
10.37 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Non-response adjustement were applied by strata.
Coverage Adjustment Weight: Method
Iterative raking scale method were applied. For calibration the following controls were used: population totals of sex*age; population totals of regions (NUTS2 level); number of households; economic status; education level; population at work by highest education level attained and types of settlement.
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
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
Sampling Method
The type of sampling design is a stratified three-stage sampling. In 2004, a sample of dwellings is drawn from the 1999 Master Sample updated for the "new" dwellings (i.e. the units that came out after the 1999 Census). The selection is done so as to make the sample self-weighted. At the first stage, selection by groups of municipalities proportional to size (stratified according geographical criteria as NUTS2 and degree of urbanisation). At the second stage, the systematic selection is of dwellings for the urban areas and adhoc groups of municipalities for the rural areas. The third stage only exists for the rural areas and the dwellings are selected by systematic sampling. All the households and the individuals living in the selected dwellings are interviewed.
Panel Design
Number Of Rotational Groups
9
Data Collection
Start Date
05-2005
End Date
08-2005
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
26.9 %
Weighting
References
-
BE - Belgium
National Reference
Corresponding National Study
-
Producer
Statistics Belgium
Universe
All household members 16+ at the time of the interview are selected for a personal interview.
Sampling Procedure
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.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
08-2005
End Date
12-2005
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
14.31 %
Weighting
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.
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
Source Of Sampling Frame
German micro census
Sampling Design
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2005
End Date
08-2005
Type Of Data Source
Survey
Interview Mode
- 100 % Self-administered
Percentage Of Proxy Interviews
9.5 %
Weighting
References
-
DK - Denmark
National Reference
Corresponding National Study
-
Producer
Statistics Denmark
Universe
Persons aged 13+ living in private households.
Sampling Procedure
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.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2005
End Date
08-2005
Type Of Data Source
Register,Survey
Interview Mode
- 95.16 % CATI
- 4.84 % Self-administered
Percentage Of Proxy Interviews
49.10 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The household design weights are initially corrected for non-response by multiplying the design weights by a certain factor.
Coverage Adjustment Weight: Method
Weights are calibrated such that certain known population totals from registers are reproduced.
References
-
FI - Finland
National Reference
Corresponding National Study
-
Producer
Statistics Finland
Universe
Population residing in private households (non-institutionalised persons).
Sampling Procedure
Source Of Sampling Frame
Population Information System
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Dwellings
Stratification Criteria
The Master Sample is stratified by using a socio-economic categorisation of the dwelling units.
Panel Design
Number Of Rotational Groups
2
Data Collection
Start Date
01-2005
End Date
05-2005
Type Of Data Source
Register,Survey
Interview Mode
- 3.18 % CAPI
- 96.82 % CATI
Percentage Of Proxy Interviews
51.10 %
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 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.
References
-
IE - Ireland
National Reference
Sampling Procedure
Sampling Design
Panel Design
Number Of Rotational Groups
4
Data Collection
Date of Data Collection
Weighting
References
-
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)
Sampling Design
- Probability
- random
Primary Sampling Units
Dwellings
Secondary Sampling Units
Not used
Stratification Criteria
Not applicable.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2005
End Date
11-2005
Type Of Data Source
Register,Survey
Interview Mode
- 94.52 % CAPI
- 5.48 % CATI
Percentage Of Proxy Interviews
24.60 %
Weighting
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The estimation strategy applied for the first wave households by Statistics Austria divides the sample into classes and computes the empirical response rate for each of these classes. This empirical response rate then serves as an estimate for the response probability of all households of the respective class.
Coverage Adjustment Weight: Method
As a reference data base the average of the four quarters of the microcensus 2006 was chosen. 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.
References
-
CZ - Czech Republic
National Reference
Corresponding National Study
-
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.
Sampling Procedure
Source Of Sampling Frame
Census Enumeration Districts
Sampling Design
- Probability
- systematic
- 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).
Panel Design
Number Of Rotational Groups
1
Data Collection
Start Date
04-2005
End Date
05-2005
Type Of Data Source
Survey
Interview Mode
- 99.17 % PAPI
- 0.83 % Self-administered
Percentage Of Proxy Interviews
9.32 %
Weighting
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).
References
-
CY - Cyprus
National Reference
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.
Sampling Procedure
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.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2005
End Date
08-2005
Type Of Data Source
Survey
Interview Mode
- 99.54 % CAPI
- 0.46 % PAPI
Percentage Of Proxy Interviews
13.39 %
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
Corresponding National Study
Swedish survey of living conditions; Panel 2 of longitudinal EU-SILC
Producer
Statistics Sweden
Universe
The whole Swedish population except short-term migrants (3-12 months)
Sampling Procedure
Source Of Sampling Frame
Total Population Register of Sweden
Sampling Design
- Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
/
Panel Design
Data Collection
Start Date
01-2005
End Date
12-2005
Type Of Data Source
Register,Survey
Interview Mode
- 45.06 % CATI
- 54.94 % PAPI
Percentage Of Proxy Interviews
3.08 %
Weighting
Design Weight: Target
Person
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Each panel is post-stratified with 16 strata (according to sex and 8 agegroups)
and non-response adjusted weights are calculated.Coverage Adjustment Weight: Method
As we know the true
population sizes for each RHG (Response homogeneity group), adjustment factors for each RHG are
calculated as the ratio between the true population size and the estimated
population size, giving the final weights.References
-
SI - Slovenia
National Reference
Corresponding National Study
-
Producer
Statistical Office of the Republic of Slovenia
Universe
Persons aged 16+ living in Slovenia.
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
3
Data Collection
Start Date
02-2005
End Date
06-2005
Type Of Data Source
Register,Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
24.219 %
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. 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.
References
-
SK - Slovakia
National Reference
Corresponding National Study
-
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
05-2005
End Date
06-2005
Type Of Data Source
Survey
Interview Mode
- 99.31 % PAPI
- 0.69 % Self-administered
Percentage Of Proxy Interviews
5.92 %
Weighting
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.
References
-
IS - Iceland
National Reference
Corresponding National Study
-
Producer
Statistics Iceland
Universe
Persons 16+ living 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
Post stratification weights are based on age, sex and residence.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
01-2005
End Date
03-2005
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
0 %
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 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 Household Survey
- Continuous Household Survey (Northern Ireland)
Producer
- Office for National Statistics
- Northern Ireland Statistics and Research Agency (Northern Ireland)
Universe
Adults aged 16+.
Sampling Procedure
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).
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2005
End Date
12-2005
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
10.76 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Information from the 2001 Census is used to weight for non-response. By matching Census addresses with the sampled addresses of EU-SILC UK it was possible to match the address details of the EU-SILC UK respondents as well as the non-respondents with corresponding information gathered from the Census for the same address. It was then possible to identify any types of household that were being under-represented in the survey.
Coverage Adjustment Weight: Method
The population information and EU-SILC UK data were grouped into twenty-eight age by sex categories within six regional categories to form weighting classes. The weighting consists of adjusting the existing weights (including factors for design and non-response) so that the final weights ensure that the weighted totals for the above demographic categories match the population totals.
References
-
IT - Italy
National Reference
Corresponding National Study
-
Producer
Istat: National Institute for 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
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.
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
16.09 %
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 (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).
References
-
PT - Portugal
National Reference
Sampling Procedure
Sampling Design
Panel Design
Number Of Rotational Groups
4
Data Collection
Date of Data Collection
Weighting
References
-
PL - Poland
National Reference
Corresponding National Study
-
Producer
Central Statistical Office of Poland
Universe
Private households and all household members 16+.
Sampling Procedure
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.Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2005
End Date
06-2005
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
19.33 %
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
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
-
GR - Greece
National Reference
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.
Sampling Procedure
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.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2005
End Date
05-2005
Type Of Data Source
Survey
Interview Mode
- 25.90 % CAPI
- 1.68 % CATI
- 72.42 % PAPI
Percentage Of Proxy Interviews
5.40 %
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.
Coverage Adjustment Weight: Method
Calibration of household and personal weights in conjunction is done with external data.
References
-
ES - Spain
National Reference
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.
Sampling Procedure
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.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2005
End Date
06-2005
Type Of Data Source
Survey
Interview Mode
- 95.64 % CAPI
- 4.34 % CATI
- 0.02 % Self-administered
Percentage Of Proxy Interviews
40.27 %
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 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).
References
-
NL - Netherlands
National Reference
Corresponding National Study
-
Producer
Statistics Netherlands
Universe
All registered persons living in the Netherlands aged 16+.
Sampling Procedure
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.Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
06-2005
End Date
10-2005
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
39.57 %
Weighting
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. The response probabilities were modelled by the explanatory variables age, degree of urbanisation, type of household,
and labour force statusCoverage 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.References
-
EE - Estonia
National Reference
Corresponding National Study
-
Producer
Statistics Estonia
Universe
All Estonian citizens and those having a living permission.
Sampling Procedure
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).
Panel Design
Number Of Rotational Groups
5
Data Collection
Start Date
03-2005
End Date
07-2005
Type Of Data Source
Survey
Interview Mode
- 90.62 % CAPI
- 0.27 % CATI
- 9.01 % PAPI
- 0.10 % Self-administered
Percentage Of Proxy Interviews
4.97 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Non-response was compensated using the post-stratification technique. For post-stratification the counties were divided into groups that are expected to be homogeneous in respect to the measured variables of the population, i.e. in any group (post-stratum) the households are relatively similar by the measured variables and the response probability.
Coverage Adjustment Weight: Method
Calibration was performed using population data from Estonial Population Register according to sex, age-groups, county and urbanization.
References