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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Hitches with harmonisation of EU-SILC 19. 10. 2010 Mgr. Veronika Sequensová, Czech Statistical Office
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz What is EU-SILC? European Union – Statistics on Income and Living Conditions EU member states, Iceland and Norway In Czech republic from 2005 Annual data on income distribution and social inclusion Cross-sectional data Longitudinal data
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Legal framework of EU-SILC EU-SILC is based on a common framework: harmonised list of target variables common guidelines common concepts using the same classifications of occupation and education Revision of legal framework of EU-SILC planned 2011
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Planned revision of EU-SILC Object of the revision is the survey as a whole target variables (number, usefulness, definitions, guidelines) longitudinal x panel type of survey modules further harmonisation - common questionnaire? → closely related to input and output harmonisation
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Input harmonisation All steps of producing statistical results are consistently standardized Harmonisation of wording and order of questions answers
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Input harmonisation Theme for the planned review: common questionnaire harmonised wording of questions and answers at least in non-income variables → Advantages: Better comparability among countries Easier for data users
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Input harmonisation → Disadvantages: different legal system and system of social benefits in particular countries – need of special questions cultural and social differences among countries some questions may be useless in specific conditions of some countries (CZ: pension from individual private plans)
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Output harmonisation Harmonisation where the activities are limited to standardizing the statistical results Harmonisation of the product of whole process of creating datasets
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Output harmonisation EU-SILC ex-ante output harmonisation (just before the interviewing itself) → Advantages: It leaves space for national specifics – exact wording and order of questions is not given Gives more freedom to solve special problems with obligatory variables
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Output harmonisation → Disadvantages: problems with comparability problem with administrative sources – discrepancies between this data and data from interviewing → underestimation in data from interviews
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Social income: comparison with administrative sources (Ministry of Labour and Social Affair; in million CZK)
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Income: comparison with national accounts (in million CZK)
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Other hitches with harmonisation in data producing process CAPI x PAPI type of interview converting one type to another if both are carried out simultaneously CAPI - controled in the real time PAPI - before processing are data controled only by the interviewer and the guarantee → may cause further discrepancies among the data
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ČESKÝ STATISTICKÝ ÚŘAD www.czso.cz Conclusion Harmonisation: absolutely necessary for maximal comparability of data from different countries important condition for making outputs on EU as a whole Need of a space for member states and their national (cultural and → social) specifics
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