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The French Business Register : from a quality approach …. ….to a statistical register

The French Business Register : from a quality approach …. ….to a statistical register. Description of SIRENE. SIRENE : a national business register in which all businesses and their local units are registered

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The French Business Register : from a quality approach …. ….to a statistical register

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  1. The French Business Register : from a quality approach ….….to a statistical register

  2. Description of SIRENE • SIRENE : • a national business register in which all businesses and their local units are registered • since 1994 : a unique identification number, at the core of the inter-administrative system • Content of SIRENE : • identification data : civil status of businesses, legal form, the date it was set up and when it ceased trading • address of local units • a code identifying the principal business activity carried out, number of employees • as SIRENE is used in the areas of statistics and trade : economic classification variables (list drawn up after consulting statisticians using the system)

  3. Inventory of users and requirements

  4. An “administrative” approach of the quality • Quality is taken into account in day-to-day management : • a workstation with automated processing capabilities (receiving standardized “administrative” information via EDI) which guarantees uniform processing • checks into the data-processing flow • Quality is taken into account as an “independent component” (“quality operations”) : • at the initiative of register managers • at the request of those in charge of surveys • The register managers bring into play quality with the limitations of an interadministrative register  Quite “administrative” approach of the quality

  5. Volumes of “quality operations” • Updates • each year 100,000 legal units with their activity code updated-validated • 3.5 million units (legal units or local units) with employee statistics • 2 million businesses with turnover statistics updated • Checks • 15,000 units checked at the request of statisticians (wrong address for example) • 15,000 possible duplicate entries examined • 50,000 units possibly misidentified as operational examined • Surveys • in 2007, 200,000 surveys-questionnaires sent for the introduction of the NACE

  6. Links between « quality operations » and Eurostat quality report ? 1/2 • “Relevant” component • the identification of statistical users and of their expectations taken into account • some “quality operations” based on the request of statisticians • “Accuracy” component • meaningless… • but the “quality operations” improve the “accuracy” of the sampling plans. • Timeliness and punctuality • register daily updated by administrative partners (sometimes insufficient ?) • mass updates : data are included as soon as available • discrepancies : examined as quick as possible.

  7. Links between « quality operations » and Eurostat quality report ? 2/2 • Accessibility and clarity of the information: • frozen versions of the business register (for all users or for specific needs) produced quarterly and yearly • each month : an extract of the register for the staff responsible of the dissemination of information • for all statisticians : a specific tool, to get all the data of a list of units, at a given date • Comparability of statistics : • few statistics spring from the register except “business demography”. • the day-to-day management of the register and the advanced level of automation provide comparability of statistics (in the time) • Coherence • maybe a lack of the register ?

  8. Towards a new statistical registerProspective 1/2 • Review : the use of SIRENE as a central tool for business statistics comes up against its twofold role • legal vs economic cessation • exhaustiveness vs reference groups • Recent overhaul of the annual business statistics: one of its outputs “to come” is a “statistical register” • Aims of the “statistical register” : • based on the “inter-administrative” register • and/but closer to the requirements of the statisticians.

  9. Towards a new statistical registerProspective 2/2 • New concepts • the definition of “statistical units” • the addition of specific data • the definition of “reference populations” • A new “quality management” • statisticians will manage quality • a “quality operation” # “checking all mistakes in a population” • more “statistical” updates • more automatized updates • => classification of sources (to solve inconsistencies between several sources) • Maybe the definition of indicators to measure quality of this statistical register

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