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ESSnet-Workshop Turning entreprise into local unit data

This presentation discusses the past and future of data collection systems, specifically focusing on turning enterprise data into local unit data. It explores the Swiss Structural Economic Statistic (SWIS) and different approaches to assigning persons employed to BER-entreprises. The presentation also examines successful methods used by other countries when transitioning to administrative data collection systems.

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ESSnet-Workshop Turning entreprise into local unit data

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  1. ESSnet-WorkshopTurning entreprise into local unit data P. Buchs 11.02.2011

  2. Contents of the presentation • The past: Entreprise Census • The future: SWIS • Turning entreprise into local unit data: approaches • What experiences were made in other countries?

  3. The past: Entreprise Census • Statistic based on census (450’000 questionnaires) • Input: data received from entreprises on local unit level • Output: number of entreprises, local units, jobs and FTE per economic activity and municipality / meter coordinates • Usage: • - statistics • - planning (traffic, environmental questions, land use) • - fiscal transfers between federal, regional and local governments

  4. The future: SWIS • Swiss Structural Economic Statistic SWIS shall be based on registers and administrative data: • Business and Entreprise Register BER • National Register of Buildings and Dwellings RBD (municipality, meter coordinates) • Social security system (persons employed) • Local unit data from multi-unit entreprises (persons employed + FTE) • New method to improve NOGA coding of BER units • Frequency: annual output instead of all 3 to 4 years • Only entreprise data, no local unit data • Employment level will rise by 20% due to new application of definitions

  5. Turning entreprise into local unit data: approaches • Approach 1: Persons employed based on 1 source: Social secu- rity data Entre- prise data SWIS Local unit data SWIS Persons employed assigned to BER-entreprises by record linkage Persons employed identical (E_UNT) Distribution by distribution key Collected data multi-unit entreprises

  6. Application of distribution key Source: Profiling, Profiling Light, Job Statistics Source: Social security 1'000 persons employed 1'100 persons employed A A X 0,4 400 440 B B X 0,3 300 330 C C X 0,3 300 330

  7. Turning entreprise into local unit data: approaches • Approach 2: Persons employed based on several source: Social secu- rity data Entre- prise data SWIS Local unit data SWIS Persons employed identical (E_UNT) Persons employed assigned to BER-entreprises by record linkage Replacement of social security-based employment data by collected data Collec- ted data multi-unit entreprises

  8. Turning entreprise into local unit data Hypothesis: On microdata level, employment data collected by social security system will differ from employment data collected directly from entreprises One source: Total number of persons employed for CH corresponds with reality, differences will show on sub-universes (regions, fields of industry) Several sources: Resultats closer for sub-universes, total of employed persons for CH will differ from the reality

  9. What were the experiences that were made in other countries when they changed from data-collection systems to administrative data? What were succesful methods in dealing with the problems

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