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This chapter provides an overview of the characteristics that need to be attached to each unit in a Statistical Business Register (SBR). It covers identification, demographic, stratification characteristics, as well as the relationship between units and with other data sources.
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Guidelines of Statistical Business RegisterDraft chapter 5: characteristics Meeting of expert group on SBR
Overview of chapter 5: units Purpose of the chapter slide 3 The list of characteristics slide 4 to 6 Questions / Problems / Issues / Solutions slides 7 2 Meeting of expert group on SBR
Purpose of the chapter 5 describe the list of characteristics to be attached to each unit described in chapter 4 the importance of the different variables, and their mandatory/optional status and classified in different categories: => identification characteristics (including identifiers and a way to infer the type of unit) => demographic characteristics (including start and end dates (and current status) => stratification characteristics (i.e. economic variables and their classification) => relationship between units => relationship with other registers/data sources 3 Meeting of expert group on SBR
The proposed list of characteristics(1/3) 4 Meeting of expert group on SBR
The proposed list of characteristics(2/3) 5 Meeting of expert group on SBR
The proposed list of characteristics(3/3) 6 Meeting of expert group on SBR
Questions / Problems / Issues / Solutions For each unit, its characteristics are listed: This list has to be assessed. Issues are attached to each characteristic: They have also to be assessed. The chapter includes a double time-stamp: Date of reference Date of update and the explicite storage of: The source of data or of update 7 Meeting of expert group on SBR
Insee 18 bd Adolphe-Pinard 75675 Paris Cedex 14 www.insee.fr Informations statistiques : www.insee.fr / Contacter l’Insee 09 72 72 4000 (coût d’un appel local) du lundi au vendredi de 9h00 à 17h00 Guidelines of Statistical Business RegisterDraft chapter 5: characteristics Requests for good practices/examples, etc. from countries Remarks, comments, proposals etc are welcome Contact pierrette.schuhl@insee.fr pierre.teillet@insee.fr