Skip to main content

Work Session on Statistical Data Editing

Work Session on Statistical Data Editing

28 - 30 April 2014
Paris France
  Document Title ENG Presentations
  Agenda PDF  
  Information Note PDF  
  Report PDF  
  Report presented to the CES PDF  
  Future work   PPT PPTX
       
  (i) Selective editing / macro editing    
  Discussion   PPT
  Score Functions under the Optimization Approach (Spain) PDF PPT
  Maintenance of Selective Editing in ONS Business Surveys (United Kingdom) PDF PDF
  Experiences from Selective Data Editing at Statistics Sweden (Sweden) PDF PPTX
  Use of administrative data for selective editing: the case of business investments (Italy) PDF PPT
  Selective Editing Techniques and Seasonal Adjustment of Short-Term Economic Indicators (France) PDF PPT
  Using R-indicators to monitor household surveys and prioritize data collection: an application to the 2010 Household Wealth survey in France (France) PDF PDF
  An Assessment of Automatic Editing via the Contamination Model and Multiple Imputation (Japan) PDF PDF
  Text Analysis Tools for Editing and Verification (United States) PDF PDF
  Adjusting for Remaining Measurement Errors after Selective Editing (Sweden) PDF PDF
       
  (ii) New and emerging methods    
  Discussion   PDF
  Implementation and evaluation of automatic editing for business surveys (Netherlands) PDF PPTX
  Developing the process of detection and treatment of outliers in HCSO (Hungary) PDF PPTX
  Application of multiple imputation for the agricultural census (Germany) PDF PDF
  Data editing and scanner data (France) PDF PPT
  Multiple Imputation Methods for Imputing Earnings in the Survey of Income and Program Participation (United States Census Bureau) PDF PPTX
  Imputation with multi-source data: the case of Italian Structural Business Statistics (Italy) PDF PDF
  A generalized Fellegi-Holt paradigm for automatic editing (Netherlands) PDF PPTX
  Assessing the Impact of a New Imputation Methodology for the Agricultural Resource Management Survey (United States/NASS) PDF PPTX
       
  (iii) Getting the support of all people when implementing data editing    
  Discussion   PPT
  Obtaining wide support for Statistics Canada’s Integrated Business Statistics Program: a key task in the project plan (Canada) PDF PPTX
  Applying process indicators to monitor the editing process (Sweden) PDF PPTX
  Renewal of Editing Practices at Statistics Finland (Finland) PDF PPTX
  Implementing a new editing system – getting everyone on board (Norway) PDF PPTX
  Questions raised by the implementation of the data editing device for French structural business statistics (France) PDF PPT
  Gaining traction: Managing attitudes towards changes in data editing practices (New Zealand) PDF PPTX
       
  (iv) Editing of Census and social data    
  Discussion   PDF
  Estimation of the variance due to imputation in the 2011 UK Census (University of Southampton) PDF PDF
  Editing the 2011 Census data with CANCEIS and options considered for 2016 (Canada) PDF PPTX
  Automatic Data Editing Experience in Mexican Census 2010 (Mexico) PDF PDF
  Exploring Administrative Records Use for Race and Hispanic Origin Item Non-Response (United States Census Bureau) PDF PPTX
       
  (v) International collaboration and processing tools    
  Introduction-Discussion   PDF
  Migration of a large survey onto a microeconomic platform (New Zealand) PDF PPTX
  Towards Generic Analyses of Data Validation Functions (Netherlands) PDF PDF
  New Features of VIM - Visualization and Imputation of Missing Values (Austria/Vienna University of Technology) PDF PDF
  On Implementing CSPA Specifications for Editing and Imputation Services (Italy) PDF PPTX
  Editing and Imputation in the Memobust Handbook on Methodology of Modern Business Statistics (Netherlands) PDF PPTX
  SAS Enterprise Guide project for editing and imputation (Finland) PDF PPTX
  Metadata driven application for data processing – from local toward global solution (Slovenia) PDF PPT
       
  Tabled Papers:    
  On the Use of Data Mining for Imputation (Eurostat) PDF