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Work Session on Statistical Data Editing

Work Session on Statistical Data Editing

24 - 26 April 2017
The Hague Netherlands
 
Document Title
Documents Presentations
  ENG    
  Provisional agenda   PDF    
  Information Notice 1   PDF    
 
Information Notice 2
 
PDF
   
 
Information Notice 3
 
PDF
   
 
Word template
  DOC    
 
LaTeX template
  ZIP    
  Report   PDF    
           
 

Topic 1: New perspectives for data editing in the context of new data sources and data integration

Theme (i): New and emerging methods

 

Correcting for misclassification under edit restrictions in combined survey-register data using Multiple Imputation Latent Class modelling (MILC)

Ms. Laura Boeschoten

  PDF   PDF
 

Simplifying constraints in data editing

Mr. Jacco Daalmans, Netherlands

  PDF   PDF
 

An automatic procedure for selecting weights in kNN imputation

Mr. Alexander Kowarik, Austria

  PDF   PDF
 

Imputation Methods Satisfying Constraints

Mr. Ton De Waal, Netherlands

  PDF   PDF
 

Evaluating the quality of business survey data before and after automatic editing

Mr. Sander Scholtus, Netherlands

  PDF   PDF
 

Computational estimate of data-editing related variance

Mr. Mark Van Der Loo

  PDF   PDF
 

A comparison of Kokic and Bell winsorisation and conditional bias methods for outlier treatment

Mr. Thomas Deroyon, France

  PDF   PDF
 

Theme (ii): New data sources and Census

 

Improving the census core topic occupation by using new administrative data sources

Ms. Sophie Koenig, Austria

  PDF   PDF
 

Possible imputation procedures for the Census 2021

Ms. Lydia Spies, Germany

  PDF   PDF
 

Editing and Imputing Income Data in Integrated Census: lessons learned from the 2008 Census - toward the 2020 Census

Ms. Yael Klejman, Israel

  PDF   PDF
 

Creating an Initial Donor Pool for new questions in the Census of Agriculture

Ms. Darcy Miller, USA

  PDF   PDF
 

Topic (ii): International collaboration on standards and tools for data editing

 

Theme (iv): Standards and international collaboration - Including implementation of the new and emerging standards: VTL, GSDEMs, CSPA

 

The modernisation of validation in the ESS - a multidimensional approach

Mr. Vincent Tronet, Eurostat

  PDF   PDF
 

Method library as part of the modernization of the statistical production in Norway

Ms. Susie Jentoft, Norway

  PDF   PDF
 

Technical aspects of VTL to SQL translation

Mr. Marek Panfilow, Poland

  PDF   PDF
 

A new GSDEM for multisource statistics

Mr. Li-Chun Zhang, Norway

  PDF   PDF
 

Validation, Shared Services and Enterprise Architecture: how it fits

Mr. Lucas Quensel-Von Kalben, Germany

  PDF   PDF
 

The ESSnet Validat Integration

Mr. Volker Weichert, Germany

  PDF   PDF
 

Theme (iii): Shared software tolls and CSPA services - Demonstrations and implementation experiences

 

Software implementation of optimization-based selective editing techniques at Statistics Spain (INE)

Mr. David Saldago, Spain

  PDF   PDF
 

Future development of Statistics Canada's Edit and Imputation System Banff

Mr. Steven Thomas, Canada

  PDF   PDF
 

Automated Data Editing and Imputation for surveys of Multinational Enterprises, a Banff Implementation

Mr. Weihuan (Mark) Xu, USA

  PDF   PDF
 

The role of rules based editing for maintaining quality in the drive for efficiency

Mr. Kevin Moore, UK

  PDF   PDF
 

General tool for macroediting at SURS

Mr. Nejc Jevsnik, Mr. Zvone Klun, Slovenia

  PDF   PDF
 

Theme (v): Managing change

 

Improvements in editing methods and processes for use of Value Added tax data in UK National Accounts

Ms. Martina Portani, UK

  PDF   PDF
 

Usage of data editing process data at Statistics Denmark

Mr. Regin Reinert, Denmark

  PDF   PDF
 

Data preparation process analysis of the structural survey of the Swiss population census

Mr. Christina Panchard, Switzerland

  PDF   PDF
 

An information model for a metadata-driven editing and imputation system

Mr. Rok Platinovsek, Finland

  PDF   PDF