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Operationalising ESeC in Finnish statistical sources, Finnish EU SILK and Census 2000

Operationalising ESeC in Finnish statistical sources, Finnish EU SILK and Census 2000. ESeC workshop, 30 of June 2006 Bled, Slovenia. Why Finnish EU SILK?. All main variables available Information on supervisors Information on the size of enterprise Possible to compare

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Operationalising ESeC in Finnish statistical sources, Finnish EU SILK and Census 2000

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  1. Operationalising ESeC in Finnish statistical sources, Finnish EU SILK and Census 2000 ESeC workshop, 30 of June 2006 Bled, Slovenia

  2. Why Finnish EU SILK? • All main variables available • Information on supervisors • Information on the size of enterprise • Possible to compare • Simple and full ESec syntax • The present socio-economic classification and ESeC • Current and usual activity

  3. Finnish EU SILK • An income statistics • Data sources: • Interviews and administrative files • In sample 13 000 active persons (current activity) • Object of ESeC study was SILK data of 2004 • Census 2000 was used as a reference data • No direct data collection, a combination of administrative files

  4. Looking forwards (1): What will be main uses of ESeC in statistics? • General information about social structures: Census, family and household statistics • Living and housing conditions; study on income and consumption; social security • Work life; demand and supply of occupational skills • Structure of wages and salaries • Etc. • Specialized academic research (social layers, nutrition, participation in social activities, etc.)

  5. Looking forwards (2): One or two different / ESeC classifications? • A standard classification is normally a hierarchy: • Aggregate levels are split to further breakdowns • One of basic rules is: • If titles are same, also aggregates are same • Is ESeC based on the simple syntax same classification as ESeC based on the full syntax? • Or are they different classifications?

  6. Looking forwards (3): Role of administrative data sources? • The sources of statistics are selected with consideration to quality, timeliness, costs andthe burden on respondents (UN: Principles of official statistics) • A trend is towards administrative data sources • Information contents of administrative data is granted and sometimes poorer than in direct data collection • Another possible trend might be • Analytical classifications in research and standard classifications in statistics may diverge to different directions - hopefully not

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