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Timely and Reliable EU-SILC Provisional Results: A Case Study of INE-Spain

This article discusses the challenges of providing reliable and timely data on income and living conditions in Europe using the EU-SILC survey, with a specific focus on the case of INE-Spain. It examines the time it takes to clean and provide high-quality information from the survey and explores the trade-off between timeliness and reliability for provisional results. The article also presents a comparison of raw and final data from 2007 and 2008, highlighting any significant differences. Key topics include household difficulties, at-risk-of-poverty rates, and average income by regions.

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Timely and Reliable EU-SILC Provisional Results: A Case Study of INE-Spain

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  1. EU-SILC provisional results available two months after collection. The case of INE-Spain Antonio ARGÜESO Director of Social and demographic statistics INE-Spain

  2. There is a need for reliable and timely data on Income and living conditions In Europe The answer: a well-defined harmonized european Survey (EU-SILC) But it takes a lot of time to clean the data and provide high-quality information (more than two years) How often? Annual, to get a timely picture Of the situation • Why do EU-SILC data treatment take more than one year in all countries? • Because the product is a microdata file, that must be coherent and must have quality

  3. But timeliness is another dimension of quality Distance (between raw data and “perfect” ones) So, where is the optimum? Here? 2-3 months after collection Or there? 15 months after time

  4. The idea: The best microdata file can de delivered only after 16 months of data treatment (final results) Users: researchers, Academy But the best trade-off between timeliness and reliability for main indicators (provisional results), can it be reached sooner? Users: Media, public policies And the exercise: let’s tabulate the raw data collected in 2007 and 2008 (after a minimum automatic treatment) and compare them with those already published as final ones. Are there big differences?

  5. Let’s start with the easiest case (non monetary data) Households with difficulties to make ends meet (%)

  6. At-risk-of-poverty rate by regions (%) So, at the national level the provisional data seem to be right, Let’s look at data by sex and age group:

  7. At-risk-of-poverty rate by age and sex (%)

  8. Monetary data: average income per capita by regions (in €)

  9. The decisions: - A new publication (and press release) containing provisional results at national level has been already issued. Provisional data. published: march 2010 EU-SILC 2009 Detailed (final) data. scheduled: nov 2010 T+4 months Provisional data. Scheduled. nov 2010 EU-SILC 2010 Detailed (final) data. scheduled: nov 2011 Provisional data: 1) At risk of poverty rate by age and sex group (national level) 2) Average income per household, person and consumption unit 3) Ability to make ends meet 4) Capacity to afford some aspects of living standards 5) Housing related arrears

  10. See provisional results & more info at: http://www.ine.es/jaxi/menu.do?L=1&type=pcaxis&path=%2Ft25%2Fp453&file=inebase

  11. Thanks for your attention!

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