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Topic 1: New perspectives for data editing in the context of new data sources and data integrationTheme (i): New and emerging methods |
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Correcting for misclassification under edit restrictions in combined survey-register data using Multiple Imputation Latent Class modelling (MILC) Ms. Laura Boeschoten |
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Simplifying constraints in data editing Mr. Jacco Daalmans, Netherlands |
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An automatic procedure for selecting weights in kNN imputation Mr. Alexander Kowarik, Austria |
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Imputation Methods Satisfying Constraints Mr. Ton De Waal, Netherlands |
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Evaluating the quality of business survey data before and after automatic editing Mr. Sander Scholtus, Netherlands |
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Computational estimate of data-editing related variance Mr. Mark Van Der Loo |
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A comparison of Kokic and Bell winsorisation and conditional bias methods for outlier treatment Mr. Thomas Deroyon, France |
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Theme (ii): New data sources and Census |
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Improving the census core topic occupation by using new administrative data sources Ms. Sophie Koenig, Austria |
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Possible imputation procedures for the Census 2021 Ms. Lydia Spies, Germany |
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Editing and Imputing Income Data in Integrated Census: lessons learned from the 2008 Census - toward the 2020 Census Ms. Yael Klejman, Israel |
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Creating an Initial Donor Pool for new questions in the Census of Agriculture Ms. Darcy Miller, USA |
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Topic (ii): International collaboration on standards and tools for data editing |
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Theme (iv): Standards and international collaboration - Including implementation of the new and emerging standards: VTL, GSDEMs, CSPA |
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The modernisation of validation in the ESS - a multidimensional approach Mr. Vincent Tronet, Eurostat |
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Method library as part of the modernization of the statistical production in Norway Ms. Susie Jentoft, Norway |
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Technical aspects of VTL to SQL translation Mr. Marek Panfilow, Poland |
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A new GSDEM for multisource statistics Mr. Li-Chun Zhang, Norway |
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Validation, Shared Services and Enterprise Architecture: how it fits Mr. Lucas Quensel-Von Kalben, Germany |
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The ESSnet Validat Integration Mr. Volker Weichert, Germany |
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Theme (iii): Shared software tolls and CSPA services - Demonstrations and implementation experiences |
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Software implementation of optimization-based selective editing techniques at Statistics Spain (INE) Mr. David Saldago, Spain |
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Future development of Statistics Canada's Edit and Imputation System Banff Mr. Steven Thomas, Canada |
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Automated Data Editing and Imputation for surveys of Multinational Enterprises, a Banff Implementation Mr. Weihuan (Mark) Xu, USA |
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The role of rules based editing for maintaining quality in the drive for efficiency Mr. Kevin Moore, UK |
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General tool for macroediting at SURS Mr. Nejc Jevsnik, Mr. Zvone Klun, Slovenia |
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Theme (v): Managing change |
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Improvements in editing methods and processes for use of Value Added tax data in UK National Accounts Ms. Martina Portani, UK |
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Usage of data editing process data at Statistics Denmark Mr. Regin Reinert, Denmark |
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Data preparation process analysis of the structural survey of the Swiss population census Mr. Christina Panchard, Switzerland |
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An information model for a metadata-driven editing and imputation system Mr. Rok Platinovsek, Finland |
Work Session on Statistical Data Editing
Work Session on Statistical Data Editing
24 - 26 April 2017
The Hague Netherlands