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Study: EU-SILC 2014

Titles

Title European Union Statistics on Income and Living Conditions 2014

Abstract

EU-SILC 2014 contains the 2014 Module on material deprivation.

Coverage

Geographical Coverage

EU-28 member states and Iceland, Turkey, Norway and Switzerland. Test implementation: Montenegro, the former Yugoslav Republic of Macedonia (FYROM) and Serbia. (Eurostat: METHODOLOGICAL GUIDELINES AND DESCRIPTION OF EU-SILC TARGET VARIABLES. 2014 operation (Version October 2014, p. 18)

Time Period Covered

Reference period for core variables: constant, at selection, income reference persiod, usual week, last 4 weeks, last 12 months, since last year, working life, childcare reference period.

Notes

-

References

Country Specific Information: EU-SILC 2014

  • LV - Latvia

    National Reference

    Producer

    Central Statistical Bureau of Latvia

    Universe

    Persons living in private households within national territory

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 125

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 64.1 % CAPI
    • 32.4 % CATI
    • 3.4 % PAPI
    • 0.1 % Self-administered

    Percentage Of Proxy Interviews

    21.7 %

    Weighting

    Notes

    No Quality Report available.

    References

    EU-SILC Data 2014: RB250, RB260.

  • LU - Luxembourg

    National Reference

    Producer

    STATEC, Institut national de la statistique et des études économiques du Grand-Duché du Luxembourg;
    LISER, Luxembourg Institute of Socio-Economic Research, formerly CEPS/INSTEAD, Centre d'Etudes de Populations, de Pauvreté et de Politiques Socio-économiques

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 3 879

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    • Probability
    • random
    • stratified

    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 % CAPI

    Percentage Of Proxy Interviews

    32.3 %

    Weighting

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Luxembourg.
    EU-SILC Data 2014:  RB250, RB260.

  • LT - Lithuania

    National Reference

    Producer

    Statistics Lithuania

    Universe

    The target population of EU-SILC is all persons living in private households within the national territory of Lithuania at the time of data collection. Collective households and institutions are excluded from the target population.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 194

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Residents’ Register.

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Stratification Criteria

    While selecting the new rotational group of the sample the country were grouped into 25 strata: 5 largest cities, other cities and rural area. Simple random sample of non–institutional persons aged 16 and over was selected from the Population Register in each stratum.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2014

    End Date

    07-2014

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 17.8 % CAPI
    • 41 % CATI
    • 41 % PAPI
    • 0.2 % Self-administered

    Percentage Of Proxy Interviews

    16.9 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    To estimate household response probability logistic regression model are used. Response bias is estimated for responding and non-responding households.

    Coverage Adjustment Weight: Method

    Modified design weights are calibrated, seeking for the weights, which would remain as close as possible to sample design weights and allow obtaining some exact demographic estimates. Auxiliary variables: number of persons aged 0 and older (including newborn children) by different strata; number of persons by different age groups; number of males by different age groups.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Lithuania.
    EU-SILC Data 2014: RB250, RB260.

  • HR - Croatia

    National Reference

    Producer

    Croatian Bureau of Statistics

    Universe

    All private households and their current members residing in the territory of Croatia at the time of data collection. Persons living in collective households and in institutions are excluded from the target population.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 443

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    2011 Census data

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The sampling frame of segments for the first stage is divided into 4 strata which are defined according to statistical regions (NUTS-2) and the types of municipality. Beside explicit stratification, implicit stratification according to counties (NUTS-3) and municipalities was applied. It means that the list of segments within strata was sorted according to counties and municipalities before selection.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    41.1 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    The design weight of responded households is modified by a factor inversely proportional to the weighted response rate within a group of counties ("homogeneous group").

    Coverage Adjustment Weight: Method

    Both household and individual external information used in a single-shot calibration at household level. The new weights were calibrated on the number of private households in household size groups by regions / groups of counties, and the number of persons in gender–age groups by regions / groups of counties. External data was taken from the 2011 Census data.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Croatia.
    EU-SILC Data 2014: RB250, RB260.

  • RO - Romania

    National Reference

    Corresponding National Study

    Romanian Survey on Income and Living Conditions ("Quality of Life Survey")

    Producer

    National Institute of Statistics of Romania

    Universe

    The reference population is all private households and their current members residing in the territory of the Romania at the time of data collection. Persons living in collective households and in institutions are excluded from the target population.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7 508

    Available Data

    • Cross-sectional
    • Longitudinal

    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 being the area where a certain PSU is located (urban or rural area) and county (NUTS 3 level).

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    13.9 %

    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. For wave 1 as explicative variables for non-response region (NUTS II level) and area of residence (urban / rural) ar eused and for the second, third and fourth wave - the region.

    Coverage Adjustment Weight: Method

    The calibration is performed at the household level using the household variables and individual variables in their aggregate form as calibration variables. Adjustments were made using the SAS macro CALMAR. Calibration variables were: distribution of the population by age group, area of residence and gender using Romanian Population Estimates at the end of the income reference period and households totals by region.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Romania.
    EU-SILC Data 2014: RB250, RB260.

  • 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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7 371

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central population register (BEREG)

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Stratification Criteria

    The new rotational groups are drawn as the proportion p of the population 16 years and over. In addition, each existing rotational group is then supplemented with new 16 year olds and new immigrants to ensure representativity. The sample is drawn from the population register, and this register is arranged to ensure geographical representativity. This is done by municipality and postal codes. The register is arranged by family number and personal code within the family before the actual selection of units.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 0.8 % CAPI
    • 99.2 % CATI

    Percentage Of Proxy Interviews

    0 %

    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.

    Coverage Adjustment Weight: Method

    No adjustments are made, except for children's weights.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Norway.
    EU-SILC Data 2014: RB250, RB260.

  • HU - Hungary

    National Reference

    Producer

    Hungarian Central Statistical Office

    Universe

    No difference to common definition

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 9 211

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    List of occupied dwelling units in census 2011 dataset

    Sampling Design

    • Probability
    • stratified
    • multi-stage

    Primary Sampling Units

    Households

    Stratification Criteria

    At stage 1 the population of localities is stratified. Each of the larger localities is a stratum of its own. These are the self-representing localities, the number of which is 91. Smaller localities are stratified by NUTS3 regions and the size of locality. At stage 2 the households are stratified by the charachteristic of the head of household within each locality.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2014

    End Date

    04-2014

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    11.2 %

    Weighting

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    In the new rotational group non-response weights were introduced to reduce bias caused by unit non-response on household level. Non-response adjustment was a simple expansion applied by the same classes as design factors were calculated by.

    Coverage Adjustment Weight: Method

    The aim of this adjustment was to improve the accuracy of data using socio-economical information available from the constantly updated Census 2001 and other surveys. Iterative raking scale methods were applied. For the integrative calibration population totals are used. Calibration was carried out with a self made SAS program. Calibration was carried ou in each rotational group.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Hungary.
    EU-SILC Data 2014: RB250, RB260.

  • BG - Bulgaria

    National Reference

    Producer

    National Statistical Institute

    Universe

    All citizens officially living at Bulgarian territory (population de facto).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 963

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Population Census 2011

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Households

    Stratification Criteria

    The sample is stratified by administrative-territorial districts in the country (NUTS3) and the household's location. As a result 56 strata are formed.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2014

    End Date

    06-2014

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    19.2 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    Correction for non-response at the first year of subsamples was done with weighting within classes procedures: The design weights were modified by a factor inversely proportional to the response rate within strata. Coefficients of these corrections were computed separately according to classes of locality as ratios: the sum of design weights of selected units to the sum of design weights of responding units. The response probability for the households at wave 1, 2, 4 is obtained by a logistic regression model. The variables strata, size of household, sex, age group, activity, educational level and poverty indicators were used in the model.

    Final Weighting: Method

    The final weights were obtained applying the integrated calibration method. Combining the four independent subsamples, calibration is done on individual-level data, imposing equality of g-weights for individuals in the same household. Truncated linear function are used in order to limit g-weights close enough to 1. External information about the distribution of the population by administrative-territorial districts (NUTS 3) and residence and about the distribution of the population by age groups, sex and residence was used. This information was derived from the Information System Demography (ISD). Calibration was carried out with a G calib2.0 program (designed by Statistics Belgium).

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Bulgaria.
    EU-SILC Data 2014: RB250, RB260.

  • 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

    Universe

    All private households and their current members residing in the territory of France at the time of data collection.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 11 384

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Statistiques sur les Ressources et Conditions de Vie (SRCV)

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    9

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    26.4 %

    Weighting

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 France.
    EU-SILC Data 2014: RB250, RB260.

  • BE - Belgium

    National Reference

    Producer

    Statistics Belgium

    Universe

    The reference population is all citizens living officially living at Belgian territory (population de jure).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 021

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central Population Register

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Households

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    13.1 %

    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.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Belgium.
    EU-SILC Data 2014: RB250, RB260.

  • 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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 12 744

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    • Probability

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 0.1 % CATI
    • 99.9 % Self-administered

    Percentage Of Proxy Interviews

    18.9 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2014: RB250, RB260.

  • DK - Denmark

    National Reference

    Producer

    Statistics Denmark

    Universe

    People residing in private households residing in Denmark at the time of the interview.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 758

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central Population Register (CPR)

    Sampling Design

    • Probability
    • one stage

    Primary Sampling Units

    Individuals

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 28.8 % CATI
    • 5.3 % Self-administered
    • 65.9 % Websurvey

    Percentage Of Proxy Interviews

    7 %

    Weighting

    Design Weight: Target

    Household

    Non-response Weight: Method

    Calibration using external data

    Coverage Adjustment Weight: Method

    All external data are based on variables in administrative registers. Exactly the same variables are found in the sampled households. The following external variables have been used: Equivalised disposable income, size of the household, education level of the person with the highest professional status in the household and socio-economic status of main income holder in the household.
    In addition to correcting for bias due to non-response on the household level, the SILC cross-sectional weights should reproduce certain demographic and poverty distributions on the personal level. Therefore some data on the personal level have been integrated in the calibration, that risk of poverty, age, sex, poverty, family type, education, income mass and income groups.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Denmark.
    EU-SILC Data 2014: RB250, RB260.

  • FI - Finland

    National Reference

    Producer

    Statistics Finland

    Universe

    Members of the private households permanently resident (the census definition) in Finland on 31 December 2013. For migrants in particular, permanent residency means that the persons have resided or intend to reside for at least 12 months and they have not a permanent recidence abroad. Persons living in institutions, in collective households or in residential homes have been excluded.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 11 030

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    The Population Information System maintained by the Population Register Centre of Finland

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    Strata contain socio-economic groups grouped by income class (13 strata in the new sample). The register information used for strata construction is about all members of the selected sample person's household-dwelling unit available at the time of sample selection (updated by the final population register data later). Strata are created only for those who do not belong to the over-coverage.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2014

    End Date

    05-2014

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 2.6 % CAPI
    • 97.4 % CATI

    Percentage Of Proxy Interviews

    10.1 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    The household design weights were multiplied by a simple adjustment n(sample)/n(respondents) in every stratum.

    Coverage Adjustment Weight: Method

    The calibration can be interpreted as integrative, i.e. both the household and person levels were included in the process. The levels and variables included in the calibration were as follows: 1) Households: Region, type of municipality by degree of urbanisation (national classification), household size, total sums of 15 different income variables. 2) Persons: Sex and age classes. Calibrations were performed by the raking method with the SAS supporting CALMAR macro.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Finland.
    EU-SILC Data 2014: RB250, RB260.

  • IE - Ireland

    National Reference

    Producer

    Central Statistics Office (CSO)

    Universe

    Persons aged 16 years and over living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 486

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    26.1 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2014: RB250, RB260.

  • AT - Austria

    National Reference

    Producer

    Statistics Austria

    Universe

    "All private households and their current members residing in the territory of Austria at the time of data collection. Persons living in collective households and in institutions are generally excluded from the target population." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, p. 6.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 045

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central registration register ZMR (Zentrales Melderegister), a constantly updated population register based on the register of residence.

    Sampling Design

    • Probability
    • stratified
    • one stage

    Primary Sampling Units

    Dwellings

    Stratification Criteria

    The sample of the first wave was stratified according to 205 interviewer units (Sprengel). These are regional divisions of federal territory which may be approximately combined to Austrian provinces (NUTS 2 units). (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2015

    End Date

    09-2015

    Type Of Data Source

    Survey

    Interview Mode

    • 60.5 % CAPI
    • 39.5 % CATI

    Percentage Of Proxy Interviews

    11.4 %

    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 probabilitiesof each household with explanatory variables known prior to survey data based on the questionnaire. Among these are data from the sampling frame, register data linked to the gross sample or data surveyed by the interviewers before contact (e.g. type of building). (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, Annex 6, p. 1.)

    Coverage Adjustment Weight: Method

    "As a reference data base the average of the quarters 1 to 3 of 2015 of the Microcensus was chosen. The usage of register information on income in the survey of 2015 also lead to changes in the weighting procedure. Additionally data from the main association of Austrian Social Security Institutions (Hauptverband der österreichischen Sozialversicherungsträger) were used to provide an accurate number of people who were receiving unemployment benefits (People who received benefits for more than one month during the income reference period were counted).
    The adjustments were carried out on household level and on individual level and were done with reference to the following variables:
    Household level: the household size (four categories: 1, 2, 3 household members and households with 4 and more household members), tenure status (two categories: rented flat/house or owned), and region (nine categories: Nuts II level).
    Individual level: Sex, age
    In addition to these variables adjustments were implemented to achieve coherence in
    - the number of foreign citizens (aged 16 and over)
    - the number of recipients of unemployment benefits for a duration of more than one month based on data from the main association of Austrian Social Security Institutions
    - the number of recipients of income from employment based on wage tax statistics (aged 15 and over)
    - the number of recipients of income from pensions based on wage tax statistics" (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, Annex 6, p. 4-5.)

    Notes

    -

    References

  • CZ - Czech Republic

    National Reference

    Producer

    Czech Statistical Office

    Universe

    All persons with usual residence in Czech dwellings (their only place of residence or their main place of residence) were included in the survey.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size -

    Available Data

    • Cross-sectional
    • Longitudinal

    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

    02-2014

    End Date

    05-2014

    Type Of Data Source

    Survey

    Interview Mode

    • 44.2 % CAPI
    • 55.8 % PAPI

    Percentage Of Proxy Interviews

    25.9 %

    Weighting

    Design Weight: Method

    none

    Non-response Weight: Method

    United calibration for all the waves was used as the method for correcting non-response. The achieved sample was re-weighted using the integrated calibration technique (producing the same weights on household and personal level). This technique ensures that the weighted sample structure corresponds to a set of known external population characteristics. The calculations were implemented using the CALMAR software in SAS.

    Coverage Adjustment Weight: Method

    For the adjustments to external data the following calibration variables were used: Number of inhabited dwellings in each NUTS3 region, subdivided into family houses (detached and semi-detached houses) and flats, based on the 2001 Census and 2011 Census continuously updated from administrative sources of construction authorities and Population characteristics (population totals in each NUTS3 region, economic activity in each NUTS3 region, demographic characteristics at the national level).

    Notes

    -

    References

  • CY - Cyprus

    National Reference

    Corresponding National Study

    Survey of Income and Living Conditions

    Producer

    Statistical Service of Cyprus

    Universe

    All the households and their members living in the areas under the effective control of the government of the Republic of Cyprus. Population in collective households and institutions is excluded.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 294

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    The sampling frame used for the 2013 was the list of households from the 2011, Census of Population

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Households

    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

    02-2014

    End Date

    06-2014

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    12.3 %

    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.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Cyprus.
    EU-SILC Data 2014: RB250, RB260.

  • SE - Sweden

    National Reference

    Producer

    Statistics Sweden

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 800

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 0.1 % CAPI
    • 99.9 % CATI

    Percentage Of Proxy Interviews

    1.7 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2014: RB250, RB260.

  • SI - Slovenia

    National Reference

    Producer

    The Statistical office of the Republic of Slovenia

    Universe

    The reference population is defined with the persons in the Central Register of Population which are aged 16 years or more. The individuals with Slovenian citizenship as well as foreigners were included in the sampling frame.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 9 891

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central Register of Population (CRP)

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Individuals

    Stratification Criteria

    The sampling frame of persons aged 16 years or more is divided into 6 strata, which are defined according to the size of the settlement and the proportion of agricultural households in the settlement.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2014

    End Date

    06-2014

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 47.5 % CAPI
    • 52.5 % CATI

    Percentage Of Proxy Interviews

    19.6 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    The non-response factor was calculated for each stratum. First the sample was divided into three categories: responses, non-responses and out-of-scope units.

    Coverage Adjustment Weight: Method

    By the calibration procedures the weighted sums of some key variables are set to the known population values. These population values are obtained from the different administrative sources. For the calibration of weights we used SAS Macro Calmar. We performed calibration for the level of households, as well as for the level of the persons.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Slovenia.
    EU-SILC Data 2014: RB250, RB260.

  • SK - Slovakia

    National Reference

    Producer

    The Statistical Office of the Slovak Republic

    Universe

    Private households

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 490

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Data set is based only on a survey

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Households

    Stratification Criteria

    There are two criteria of area stratification in the sampling design:
    - geographical stratification (8 standard administrative regions corresponding to the European NUTS 3 level.).
    - degree of urbanization: 7 groups according to population size of municipalities and communes (number of inhabitants in municipalities and communes).
    48 final strata were created (variable DB050) by using of those two stratification criteria.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2014

    End Date

    06-2014

    Type Of Data Source

    Survey

    Interview Mode

    • 99.9 % PAPI
    • 0.1 % Self-administered

    Percentage Of Proxy Interviews

    5.1 %

    Weighting

    Design Weight: Target

    Household

    Non-response Weight: Method

    Dividing households into strata (region and rotational group). 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

    Calculation of the households crosssectional weights - has been implemented by system of simple calibration of weights of the households by using of variablesnumber of households by number of membership in administration regions.

    Final Weighting: Method

    The sample was designed as a selfweighting sample. Design factor for all sampled dwellings is equal to 1.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Slovakia.
    EU-SILC Data 2014: RB250, RB260.

  • IS - Iceland

    National Reference

    Producer

    Statistics Iceland

    Universe

    People in private households

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 3 001

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Iceland population register

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Stratification Criteria

    The sample is post stratified.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    Post stratification weights are used to adjust the data to the population. The information on the population comes from the national register. The weights both adjust for nonresponse and sampling error. The post stratification weights are based on age , sex and residence.

    Coverage Adjustment Weight: Method

    Results are only calibrated with numbers from the national register.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Iceland.
    EU-SILC Data 2014: RB250, RB260.

  • UK - Great Britain

    National Reference

    Corresponding National Study

    Family Resources Survey

    Producer

    Office for National Statistics

    Universe

    The reference population for the Family Resources Survey is all private households in the UK.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 9 860

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    for Great Britain: Royal Mail’s small-users Postcode Address File (PAF); for Nothern Irland: POINTER address database

    Sampling Design

    Primary Sampling Units

    Postecode sectors

    Secondary Sampling Units

    Addresses

    Stratification Criteria

    The PSUs are stratified by 27 regions on the FRS and 30 regions on the GLF. The PSUs are then sorted by three other variables (different for the two surveys), which provides an implicit stratification:
    For the FRS, within each region the postcode sectors are ordered and grouped into eight equal bands using the proportion of households where the household reference person (HRP) is in National Statistics Socio-Economic Classification (NS-SEC) 1 to 3. Within each of these eight bands, the PSUs are ordered by the proportion of economically active adults aged 16-74 and formed into two further bands, resulting in sixteen bands for each region. These are then ordered according to the proportion of economically active males aged 16-74 who are unemployed.
    For the GLF, postcode sectors were stratified according to selected indicators taken from the 2001 Census. Sectors were initially ordered according to the proportion of households with no car, then divided into three bands containing approximately the same number of households. Within each band, sectors were re-ordered according to the proportion of households with a household reference person in socio-economic groups 1 to 5 and 13, and these bands were then subdivided into three further bands of approximately equal size. Finally, within each of these bands, sectors were re-ordered according to the proportion of people who were pensioners.

    Sampling Method

    Prior to 2012, all households for cross-sectional and longitudinal EU-SILC originated from the GLF sample. Since 2012, cross-sectional and wave 1 respondents have been selected from the FRS. The FRS in Great Britain is a stratified clustered probability sample design, as was the first wave of the GLF. The FRS in Northern Ireland is a systematic stratified sample design, while for the GLF it was a simple random sample.

    Panel Design

    Data Collection

    Start Date

    04-2014

    End Date

    09-2014

    Type Of Data Source

    Survey

    Interview Mode

    • 76.6 % CAPI
    • 23.4 % Websurvey

    Percentage Of Proxy Interviews

    0 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    There is no correction for individual non-response, because only fully cooperating households are included in the dataset. Household non-response is corrected for in the grossing procedure, which sets grossing factors so that the population estimate is representative of the population in several dimensions.

    Coverage Adjustment Weight: Method

    The grossing regime for Great Britain aims to calibrate population estimates derived from EU SILC data against seven different variables: Individuals (Age, sex and region), Dependants aged 16-19, Benefit units, Benefit units (Lone Parents), Households (Tenure type), Households (Council Tax Band), Households (Region).
    The grossing regime for Northern Ireland is slightly different from that for the rest of the UK: Local taxes in Northern Ireland are collected through the rates system, so Council Tax Band as a control variable is not applicable. Northern Ireland housing data are based largely on small sample surveys. It is not desirabe to introduce the variance of one survey into another by using it to compute control totals; therefore tenure type has not been used as a control variable.

    Notes

    -

    References

  • IT - Italy

    National Reference

    Producer

    Italian National Institute of Statistics

    Universe

    All persons living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 19 663

    Available Data

    • Cross-sectional
    • Longitudinal

    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 primary sampling units by the number of inhabitants so that the total number of inhabitants in each stratum is approximately constant (this guarantees selfweighting design in each region). Municipalities which sizes are higher than a threshold are self-representing units i.e. are strata themselves and included with certainty in the sample of PSU. Secondary sampling units are not stratified.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2014

    End Date

    10-2014

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    30.6 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    The design weights were adjusted by a correction factor for total non-response worked out as the reciprocal of the response probability identified by the information given on the extracted sample (for the households at wave 1) or gathered from the most recent year of survey (for the households at wave 2, 3, 4).

    Coverage Adjustment Weight: Method

    After the non-response adjustments, a further adjustment of design weights has been achieved with a first calibration stage to constrain the sample to the same structure of the Labour Force Survey with regard to the educational and professional condition by sex.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Italy.
    EU-SILC Data 2014: RB250, RB260.

     

  • MT - Malta

    National Reference

    Producer

    National Statistics Office Malta

    Universe

    All private households and their current members residing in Malta at the time of data collection. Persons living in institutions are excluded from the target population.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 381

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    2011 Census of Population & Housing

    Sampling Design

    • Probability
    • random
    • not stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Not applicable

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2014

    End Date

    08-2014

    Type Of Data Source

    Survey

    Interview Mode

    • 91.9 % CAPI
    • 8.1 % CATI

    Percentage Of Proxy Interviews

    31.1 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    Correction for non-response was carried out separately for each panel. For new households, the adjustment for non-response at individual level was incorporated in the calculation of design weights.
    For old households, i.e. for the remaining three panels, the adjustment for attrition was carried out through post-stratification at personal level. The values of the variables for SILC 2014 used in the post-stratification were as at 2013 (since these may not be necessarily the same as in the current situation). Specifically, the variables used were age-group, sex and district (NUTS 4), also as at 2013.

    Coverage Adjustment Weight: Method

    A temporary weight was created as the product of the design weight (or previous year’s cross-sectional weight for old households) and non-response adjustment. This weight was normalised to reflect the total population as at December 2013 and trimmed so as to lie within the lowest and highest deciles, thus reducing the range of the weights. 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.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Malta.
    EU-SILC Data 2014: RB250, RB260.

  • PL - Poland

    National Reference

    Producer

    Central Statistical Office of Poland

    Universe

    The survey unit was a household and all the household members who have reached the age of 16 years by December 31, 2013.
    The survey did not cover collective accomodation households

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 12 978

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    TERYT system

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The strata were the voivodships (NUTS2) and within the voivodships primary sampling units were classified by class of locality. In urban areas census areas were grouped by size of town. Big cities formed independent strata, but in the five largest cities districts were treated as strata. In rural areas strata were represented by rural gminas (NUTS5) of a subregion (NUTS3) or of a few neighbouring powiats (NUTS4). Altogether, 250 strata were distinguished.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2014

    End Date

    07-2014

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    23 %

    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

    With the use of the integrated calibration method weights were calculated for individuals and for households simultaneously. The following information about households was used: 4 size categories and number of persons by age and gender. The data at the level of NUTS2, additionally classified by urban/rural areas, were derived from the 2011 Census and current demographic estimates.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Poland.EU-SILC Data 2014: RB250, RB260.

  • PT - Portugal

    National Reference

    Corresponding National Study

    ICOR (Income and living Conditions)

    Producer

    Statistics Portugal

    Universe

    All private households and their current members living in Portugal (Mainland, Açores and Madeira).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 850

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    • Probability

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    36.1 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2014: RB250, RB260.

  • RS - Serbia

    National Reference

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size -

    Available Data

    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Data Collection

    Start Date

    -

    End Date

    -

    Weighting

    Notes

    No National Quality Report available.

    References

  • ES - Spain

    National Reference

    Producer

    National Statistics Institute (INE-Spain)

    Universe

    The target population was members of private households residing at main family addresses, and the households themselves.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 11 965

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Municipal Register

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Addresses

    Stratification Criteria

    In each Autonomous Community [self-ruling region], first-stage units were stratified by the size of the municipality to which the census section belonged.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2014

    End Date

    07-2014

    Type Of Data Source

    Survey

    Interview Mode

    • 82.6 % CAPI
    • 17.4 % CATI

    Percentage Of Proxy Interviews

    25.5 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    Adjustment for non-response is carried out by multiplying a certain factor to provide an estimate of the inverse probability of response in the stratum.

    Coverage Adjustment Weight: Method

    The factor is weighted to adjust estimated distribution to the population distribution by Autonomous Community, age group and gender provided by the Demographic Projections Unit.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Spain.
    EU-SILC Data 2014: Data RB250, RB260.

  • NL - Netherlands

    National Reference

    Producer

    Statistics Netherlands

    Universe

    The reference population of EU-SILC is all private households and their current members residing in the Netherlands at the time of data collection. The West Frisian Islands with the exception of Texel were excluded from the target population. This is also true for persons living in collective households and in institutions.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 10 174

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Dutch municipality administration (Gemeentelijke Basisadministratie or GBA)

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Addresses

    Stratification Criteria

    The stratification variables used in this design are the 40 COROP-regions (NUTS3). These are regional areas within the Netherlands and are used for analytical purposes by, among others, Statistics Netherlands.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    06-2014

    End Date

    10-2014

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    1.5 %

    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. These response probabilities were modelled by the explanatory variables age, degree of urbanisation, type of household, and labour status.

    Coverage Adjustment Weight: Method

    The non-response adjustments and the adjustments to external data are combined into a single procedure. The following variables were included in the calibration scheme: Household size, Sex, Age class.

    Notes

    -

    References

    Quality Report EU-SILC 2014 Netherlands.
    EU-SILC Data 2014: RB250, RB260.

  • EE - Estonia

    National Reference

    Producer

    Statistics Estonia

    Universe

    All Estonian citizens and those having a living permission. Persons living in collective households are included in the reference population.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 871

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Sampling frame for selection of new part of the sample was the 2011 Population and Housing Census. Census involves the data of all permanent residents, households and dwellings in Estonia.

    Sampling Design

    • Probability
    • systematic
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Geographical stratification was used. The counties (and capital Tallinn) were grouped into three strata by the population size.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2014

    End Date

    05-2014

    Type Of Data Source

    Survey

    Interview Mode

    • 99 % CAPI
    • 1 % CATI

    Percentage Of Proxy Interviews

    29.1 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    Correction for non-response was done with logistic regression model predicting the response probability of the household. Auxiliary variables were: sex and age of address-person, county group and urbanization status (rural/urban).

    Coverage Adjustment Weight: Method

    Non-response corrected weights were calibrated to reproduce known population totals.
    Calibration totals originated from demographic statistics published by Statistics Estonia with institutionalized persons deducted. Calibration was made on the following auxiliaries: County, Sex x age group; urbanization status (rural/urban).

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Estonia.
    EU-SILC Data 2014: RB250, RB260.

  • EL - Greece

    National Reference

    Producer

    Hellenic Statistical Authority

    Universe

    The reference population is all citizens officially living at Greek territory (population de facto).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 8 620

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    2011 population census

    Sampling Design

    • Probability
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Households

    Stratification Criteria

    There are two levels of area stratification in the sampling design. The first level is the geographical stratification based on the partition of the total country area into thirteen (13) Regions corresponding to the European NUTS2 level. The two former major city agglomerations of Greater Athens and Greater Thessalonica constitute separate major geographical strata. The second level of stratification entails grouping Municipal/Local communes within Region by degree of urbanization, i.e., according to their population size. The scaling of urbanization was finally designed in four groups.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    06-2014

    End Date

    09-2014

    Type Of Data Source

    Survey

    Interview Mode

    • 2 % CAPI
    • 8.7 % CATI
    • 89 % PAPI
    • 0.3 % Self-administered

    Percentage Of Proxy Interviews

    3.4 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    Within each design stratum, the non-response adjustment of the responding households is carried out by the inverse of the response rate, so as to “make up” for non-responding cases in that stratum. Target variable DB080 was adjusted for non-response for the variables DB 120 (record of contact at address) and DB 130 (household questionnaire result). The corrections were conducted at subsequent steps. The multiplication of DB080 with each one of the two corrections, results in a corrected DB080 weight that is used as initial weight in the calibration procedure.

    Coverage Adjustment Weight: Method

    Calibration of the household and personal weights in conjunction is done with external data. The auxiliary variables used at household level are the household size, the tenure status and the region (NUTS2). At personal level the auxiliary variable used is the distribution of population by age and sex. The weights obtained after this procedure of calibration are the household cross-sectional weights. As all the household members reply to the household questionnaire, it is also the weight of each member of the household. The last step involves the calculation of the personal cross sectional weights for household members aged of 16+. The calibration procedure was applied again using as initial weights the weights of each member of the household and as auxiliary variable the distribution of population aged 16+ by age and sex.

    Notes

    -

    References

    Eurostat: Quality Report EU-SILC 2014 Greece.
    EU-SILC Data 2014: RB250, RB260.