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Title

European Union Statistics on Income and Living Conditions 2015

EU-SILC 2015 contains the 2015 module on social and cultural participation and material deprivation.

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. 2015 operation (Version August 2016), p. 17).

Datasets availability table and release calendar (Eurostat)

Time Period Covered

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

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Country Specific Information: EU-SILC 2015

AT - Austria

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.)

Source Of Sampling Frame

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

Sampling Design

Probability

  • stratified
  • one stage

Primary Sampling Units

Dwellings

Secondary Sampling Units

Not used

Stratification Criteria

The sample of the first wave was stratified according to 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.)

Number Of Rotational Groups

4

Start Date

02-2015

End Date

09-2015

Interview Mode

  • 60.5 % CAPI
  • 39.5 % CATI

Percentage Of Proxy Interviews

11.4 %

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.)