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Study: EU-SILC 2011
Titles
| Title | European Union Statistics on Income and Living Conditions 2011 |
|---|
Abstract
EU-SILC 2011 contains the 2011 Module on Intergenerational transmission of disadvantages. The information will be provided for all current household members or if applicable for all selected respondents, aged 25-59 that is to say over 24 years and less than 60 years. The eligible persons are those with a year of birth comprised between 1951 and 1985, both years being included.
Coverage
Geographical Coverage
EU-27 member states and Croatia, Iceland, Turkey, Norway and Switzerland. Test implementation: The former Yugoslav Republic of Macedonia (FYROM).
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 2011 Module is when the interviewee was around 14 years old.
(Eurostat (2011): DESCRIPTION OF TARGET VARIABLES: Cross-sectional and Longitudinal. 2011 operation, p. 47, 385.)
DOIs
| cross-sec: | https://doi.org/10.2907/EUSILC2004-2019V.1 |
|---|---|
| panel: | https://doi.org/10.2907/EUSILC2004-2018V.1 |
References
Eurostat (2009): EU-SILC 2011 MODULE ON INTERGENERATIONAL TRANSMISSION OF DISADVANTAGES. DESCRIPTION OF SILC USER DATABASE SECONDARY TARGET VARIABLES (Version 5 – November 2009).
Country Specific Information: EU-SILC 2011
-
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
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.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2011
End Date
08-2011
Type Of Data Source
Survey
Interview Mode
- 70.58 % CAPI
- 24.96 % CATI
- 4.44 % PAPI
- 0.02 % Self-administered
Percentage Of Proxy Interviews
18.99 %
Weighting
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The design weights adjusted for outliers for non-response (in the household level )were adjusted in each primary non-response group with correction coefficients. Non-response groups were defined as a set of variables – 4 rotational groups, 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.
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) and a subsample of Population Census
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Sampling Method
Luxembourg uses a pure panel with a new sample each year.
Panel Design
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
22.60 %
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
02-2011
End Date
07-2011
Type Of Data Source
Survey
Interview Mode
- 34.5 % CATI
- 65.1 % PAPI
- 0.4 % Self-administered
Percentage Of Proxy Interviews
13.22 %
Weighting
Design Weight: Target
Household
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.References
-
HR - Croatia
National Reference
Sampling Procedure
Sampling Design
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Weighting
References
-
RO - Romania
National Reference
Corresponding National Study
Romanian Survey on Income and Living Conditions ("Quality of Life Survey")
Producer
National Institute of Statistics of Romania
Universe
All private households and their current members residing in the territory of Romania at the time of the data collection.
Sampling Procedure
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 were the area where a certain PSU is located (urban or rural area) and county (NUTS 3 level).
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2011
End Date
06-2011
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
15.50 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The non-response are not globally adjusted, at the entire sample level, but separately at wave level, on groups of households, groups generated by the variables considered as explicative of the non response. This corresponds to the so-called 'response-homogenous groups’ method, which assumes that in a certain group all units have the same probability. For wave 1 for explicative variables for nonresponse region (NUTS II level) and area of residence (urban / rural) is 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.
References
-
NO - Norway
National Reference
Producer
Statistics Norway
Universe
Persons aged 16 years or more at December 31 N-1 who are living outside an institution.
Sampling Procedure
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.
Panel Design
Number Of Rotational Groups
8
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Register,Survey
Weighting
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.
References
-
HU - Hungary
National Reference
Corresponding National Study
-
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.
Sampling Procedure
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 EU-SILC HU 2011 survey is based on different stratified sampling designs: the rotation groups 7 has a stratified two-stage sample design in a part of the population (Part I, Type I) and a stratified one-stage sample design in the other part of the population (Part II, Type II). Groups 6, 8 and 9 have a stratified three-stage sample design in a part of the population (Part III, Type III) and a stratified two-stage sample design in the other part of the population (Part IV, Type IV). Part II / Part IV consist of mostly the biggest localities and Part I/Part III consists of the rest.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2011
End Date
05-2011
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
16.88 %
Weighting
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.
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
Population Census and Survey of new dwellings (Base de sondage de logements neufs - BSLN) Plus OCTOPUSSE
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Dwellings
Stratification Criteria
Old rotational groups: The stratification is done by the type of area (urban, rural) and size of the municipality into 5 strata (rural area; municipality with less than 20 000 habitants; municipality with a number of habitants between 20 000 and 100 000; municipality with more than 100 000 habitants and Paris). A substratification is done in the first three strata by NUT2. At second stage, another sub-stratification is done in the last three strata by group of municipalities in order to have certain size in each substratum. Finally, the last stratification is done by type of dwelling (main residence, secondary residence, holiday house, new dwelling) in the group of municipalities.
New rotational group: The stratification is done by NUT2 at first stage.Panel Design
Number Of Rotational Groups
9
Data Collection
Start Date
-
End Date
-
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
27.00 %
Weighting
References
-
BG - Bulgaria
National Reference
Corresponding National Study
-
Producer
Bulgaria National Statistical Institute
Universe
The data base includes all private households and their current members residing in the country.
Sampling Procedure
Source Of Sampling Frame
Population Census 2011
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Households
Stratification Criteria
The stratification is done by administrative-territorial districts in the country (NUTS3) and the household's location into 56 strata (28 of urban and 28 of rural population). Municipalities and settlements are ranged according to the number of their population within each stratum.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2011
End Date
07-2011
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
20.10 %
Weighting
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 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.
Coverage Adjustment Weight: 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 in order to limit g-weights close enough to 1 is used.
References
-
BE - Belgium
National Reference
Corresponding National Study
-
Producer
Statistics Belgium
Universe
All private households and their current members residing in the territory.
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 is done by the geographical criteria (NUTS2) into 11 strata (10 Belgian provinces and the Brussels Capital Region).
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2011
End Date
12-2011
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
11.57 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
A logistic regression model was used to correct for non-response. The file was split by NUTS1 and the variables household size and region were used.
References
-
DE - Germany
National Reference
Corresponding National Study
Leben in Europa
Producer
Federal Statistical Office of Germany
Universe
The sampling population for the whole sample comprises private households in Germany in their main residences.
Sampling Procedure
Sampling Design
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 100 % Self-administered
Percentage Of Proxy Interviews
19.1 %
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 Statistics
Sampling Design
- Probability
- random
- not stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
No stratification.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 93.32 % CATI
- 6.68 % Self-administered
Percentage Of Proxy Interviews
49.02 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
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.
References
-
FI - Finland
National Reference
Corresponding National Study
-
Producer
Statistics Finland
Universe
Members of the private households permanently resident in Finland on 31 December 2010.
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
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).
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
01-2011
End Date
05-2011
Type Of Data Source
Register,Survey
Interview Mode
- 3.14 % CAPI
- 96.86 % CATI
Percentage Of Proxy Interviews
43.38 %
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 hosuehold number of the survey year in each rotational group 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 rotational 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
Start Date
-
End Date
-
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
- stratified
- one stage
Primary Sampling Units
Dwellings
Secondary Sampling Units
Not used
Stratification Criteria
Central registration register ZMR (Zentrales Melderegister), a constantly updated population register based on the register of residence.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2011
End Date
08-2011
Type Of Data Source
Survey
Interview Mode
- 58.92 % CAPI
- 41.08 % CATI
Percentage Of Proxy Interviews
10.83 %
Weighting
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 reference data base the average of the four quarters of the Microcensus 2010 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.
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
Register of Census Enumeration Districts (small geographical areas covering the whole territory of the country)
Sampling Design
- Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
The sampling of CEUs is stratified by region (NUTS4) and municipality size.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2011
End Date
05-2011
Type Of Data Source
Survey
Interview Mode
- 41.23 % CAPI
- 58.73 % PAPI
- 0.04 % Self-administered
Percentage Of Proxy Interviews
24.43 %
Weighting
Design Weight: Target
Dwelling
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 (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 with a supplementary list of newly constructed houses
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Geographical stratification criteria were used for the sample selection. The households were stratified in 9 strata based on district (urban / rural).
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2011
End Date
08-2011
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
18.89 %
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
-
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
- 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
02-2011
End Date
12-2011
Type Of Data Source
Register,Survey
Interview Mode
- 99.93 % CATI
- 0.07 % PAPI
Percentage Of Proxy Interviews
2.53 %
Weighting
Design Weight: Target
Person
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The non-response adjustment are done by straight expansion within each poststratum.
Coverage Adjustment Weight: Method
Since the total number of individuals in each poststratum is known due to the sampling frame, the estimated number of individuals within each poststratum will coincide with known population totals.
References
-
SI - Slovenia
National Reference
Corresponding National Study
-
Producer
Statistical Office of the Republic of Slovenia
Universe
Persons aged 16+ living in Slovenia on 31st of December 2009.
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
Stratification is done by size of the settlement and the proportion of agricultural households in the settlement into 6 strata. Each stratum was sorted by NUTS3.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2011
End Date
06-2011
Type Of Data Source
Register,Survey
Interview Mode
- 43.13 % CAPI
- 56.87 % CATI
Percentage Of Proxy Interviews
21.65 %
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
04-2011
End Date
04-2011
Type Of Data Source
Survey
Interview Mode
- 99.59 % PAPI
- 0.41 % Self-administered
Percentage Of Proxy Interviews
4.60 %
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. 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.
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 at 31st December 2009.
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
03-2011
End Date
05-2011
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 Lifestyle Survey
- Living Conditions Survey (Northern Ireland)
Producer
- Office for National Statistics
- Northern Ireland Statistics and Research Agency (Northern Ireland)
Universe
All private households and their current members residing in the UK at the time of data collection.
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).
Sampling Method
The sample design in Northern Ireland (approx. 300 households) is a simple random sample.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
01-2011
End Date
02-2011
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
12.34 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
A non-response model exists for the GLF which comprises a number of adjustment classes. These classes were constructed by linking households selected for the 2001 General Household Survey (the earlier version of the GLF) to the 2001 Census. The Census is mandatory in the UK and so both responders and non-responders to the GLF can be matched to Census records. Response classes were formed based on households’ propensity to respond to the survey, condition on certain combinations of characteristics available in both the Census and the survey. The reciprocal of the response propensity is used as the non-response weight.
Coverage Adjustment Weight: Method
The population information and EU-SILC UK data were grouped into twelve age by sex categories and into six regional categories to form weighting classes. The initial nonresponse adjusted HT weight is adjusted, using Stats Canada’s Generalized Estimation System (GES), 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
09-2011
End Date
12-2011
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
23.92 %
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 from 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
-
MT - Malta
National Reference
Corresponding National Study
-
Producer
National Statistics Office Malta
Universe
All people and households living in Malta and Gozo.
Sampling Procedure
Source Of Sampling Frame
Census of Population and Housing 2005
Sampling Design
- Probability
- random
- not stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Not applicable.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
07-2011
End Date
10-2011
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
22.36 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
For new households, the adjustment for non-response at individual level was incorporated in the calculation of design weights. For old households (the remaining three panels), the adjustment for attrition was carried out through post-stratification. The variables used were age-group, sex and district (NUTS 4).
Coverage Adjustment Weight: Method
A temporary cross-sectional weight was created as the product of the design weight and non-response adjustment. This temporary weight was normalised and trimmed so as to lie within the 1st and 9th deciles, thus reducing the range of the weights. The resulting weight was used as the initial weight for calibration. SAS-based CALMAR software was used for the calibration. The logit method was applied and the calibrating variables used were household size, districts (NUTS 4), household type and number of persons in a household.
References
-
PL - Poland
National Reference
Corresponding National Study
-
Producer
Central Statistical Office of Poland
Universe
All the private household members who would have reached the age of 16 years by December 31, 2010.
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
05-2011
End Date
06-2011
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
19.59 %
Weighting
Design Weight: Target
Dwelling
Non-response Weight: Method
Weights were adjusted with the use of household non-response rates estimated for each class of locality separately.
Coverage Adjustment Weight: Method
Using the integrated calibration method weights were calculated for individuals and for households simultaneously. To do this, the information about households was used and number of persons by age and gender. This information at the level of NUTS2, additionally classified by urban/rural areas, was derived from the 2002 Census and current demographic estimates.
References
-
PT - Portugal
National Reference
Corresponding National Study
-
Producer
Statistics Portugal
Universe
All private households and their current members living in Portugal (Mainland, Açores and Madeira) by the end of 2010.
Sampling Procedure
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.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2011
End Date
08-2011
Type Of Data Source
Survey
Interview Mode
- 92.11 % CAPI
- 7.89 % PAPI
Percentage Of Proxy Interviews
20.47 %
Weighting
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 2011. 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 31/12/2010.
References
Eurostat: 2011 Intermediate Quality Report PT
-
CH - Switzerland
National Reference
Producer
Federal Statistics Office
Sampling Procedure
Source Of Sampling Frame
The sample is taken from the Federal Statistics Office register of private telephone connections, CASTEM. This register contains every residential fixed-line number for all operators, including numbers that are not listed in the public telephone directory. It is updated quarterly.
Sampling Design
- Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
The seven major geographical regions (level NUTS2)
Sampling Method
Distribution of the sample within each stratum is defined by the size of these strata as set out by the federal census of 2000.The sample is formed on a rotating basis. Every year,
four sub-samples are surveyed. One-quarter of the sample (3600 households) is renewed every year to replace households that have finished their 4 year cycle. (Eurostat (2011). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CH, p.7.)Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2011
End Date
08-2011
Type Of Data Source
Register,Survey
Interview Mode
- 0.1 % CAPI
- 99.9 % CATI
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
(Eurostat (2011). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CH, Appendix 9, pp. 3-8 )
Coverage Adjustment Weight: Method
(Eurostat (2011). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CH, Appendix 9, pp. 8-12 )
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
Addresses
Stratification Criteria
In each Autonomous Community (self-ruling region), first-stage units were stratified by the size of the municipality to which the census section belonged.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2011
End Date
07-2011
Type Of Data Source
Survey
Interview Mode
- 86.27 % CAPI
- 13.73 % CATI
Percentage Of Proxy Interviews
8.43 %
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. The estimated distribution of households by size to our estimate in the first quarter of the current year for the Labour Force Survey (EPA) is also adjusted. For the calibration the CALMAR macro designed by the French Institut National de Statistique et Études Economiques (INSEE) is used.
References
-
NL - Netherlands
National Reference
Corresponding National Study
-
Producer
Statistics Netherlands
Universe
All registered persons living in the Netherlands aged 16+ at the time of data collection.
Sampling Procedure
Source Of Sampling Frame
Dutch municipality administration (Gemeentelijke Basisadministratie)
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
06-2011
End Date
09-2011
Type Of Data Source
Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
1.56 %
Weighting
Design Weight: Target
Household
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. 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. Persons living in collective households are included in the reference population.
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
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
4
Data Collection
Start Date
02-2011
End Date
05-2011
Type Of Data Source
Survey
Interview Mode
- 98.92 % CAPI
- 0.15 % CATI
- 0.93 % PAPI
Percentage Of Proxy Interviews
22.33 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Correction for nonresponse was done with a 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 auxiliaries country, sex and urbanization status.
References
-
EL - 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 is 90.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
10-2011
End Date
12-2011
Type Of Data Source
Survey
Interview Mode
- 3.08 % CAPI
- 6.83 % CATI
- 90.00 % PAPI
- 0.09 % Self-administered
Percentage Of Proxy Interviews
7.00 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Within each design stratum, the non-response adjustment of the responding households is carried out by the inverse of the response rate, so as to “make up” for non-responding cases in that stratum. Target variable DB080 was adjusted for non-response for the variables 'record of contact at address' and 'household questionnaire result'. The corrections were conducted at subsequent steps. The multiplication of DB080 with each one of the two corrections, results in a corrected DB080 weight that is used as initial weight in the calibration procedure.
Coverage Adjustment Weight: Method
Calibration of the household and personal weights in conjunction is done with external data. The auxiliary variables used at household level are the household size, the tenure status and the region (NUTS2). At personal level the auxiliary variable used is the distribution of population by age and sex. The weights obtained after this procedure of calibration are the household cross-sectional weights. As all the household members reply to the household questionnaire, it is also the weight of each member of the household. The last step involves the calculation of the personal cross sectional weights for household members aged of 16+. The calibration procedure was applied again using as initial weights the weights of each member of the household and as auxiliary variable the distribution of population aged 16+ by age and sex.
References