1. www.statistik.at We provide information Comparing income data from survey and register Richard Heuberger Statistics Austria Directorate Social Statistics European Conference on Quality in official Statistics 5 th June 2014

2. www.statistik.at slide 2 | 5 th June 2014 Overview o Preliminaries o Recalculation of EU-SILC 2011 o Income variables o Indicators o Conclusions

3. www.statistik.at slide 3 | 5 th June 2014 Preliminaries o Register data use since EU-SILC 2012 o About 85% of the household income from register data o Break in the time series o Individual and aggregate level o Income variable and income-based indicators o Comparability o Recalculation of EU-SILC 2011 (and 2008 – 2010) o Calculation of income target variables o Comparison of results, methodological effects

4. www.statistik.at slide 4 | 5 th June 2014 Household income model

5. www.statistik.at slide 5 | 5 th June 2014 Income variables o Income from employment as example o Higher number of income recipients in register o Better coverage? o Distribution more unequal o Equivalised household income o Distribution based on register income more unequal o Structural changes of income distribution

6. www.statistik.at slide 6 | 5 th June 2014 Income variables: income from employment

7. www.statistik.at slide 7 | 5 th June 2014 Income variables: income from employment

8. www.statistik.at slide 8 | 5 th June 2014 Income variables: equivalised household income

9. www.statistik.at slide 9 | 5 th June 2014 Income variables: equivalised household income

10. www.statistik.at slide 10 | 5 th June 2014 Indicators o At-risk of poverty rate o Increase due to distribution of register data o Distribution of increase o At-risk of poverty or social exclusion o Effect of register data mainly on AROPE o Political relevance

11. www.statistik.at slide 11 | 5 th June 2014 Indicators: At-risk-of-poverty or social exclusion

12. www.statistik.at slide 12 | 5 th June 2014 Indicators: At-risk-of-poverty or social exclusion

13. www.statistik.at slide 13 | 5 th June 2014 Conclusions o Recalculation is necessary o Break in the time series o Effect of the use of register data on income distribution and income-based indicators o Possibility for further methodological research o On the difference between register and survey income data o On register data itself (coverage, scope, blind spots) o Use of register data in statistics o In EU-SILC (data production & quality control) o Other statistical projects

14. www.statistik.at slide 14 | 5 th July 2014 Please address queries to: Richard Heuberger Richard.heuberger@statistik.gv.at Contact information: Guglgasse 13, 1110 Vienna Thank you for your attention!