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Sponsored by IASS

Instructors

Affiliated with Statistics Netherlands & Tilburg University

Dr. Arnout van Delden

Arnout van Delden studied crop protection at Wageningen University and obtained his PhD degree in 2001 also at Wageningen University. Since 2001 he works at Statistics Netherlands, where his current position is senior methodologist. His main fields of expertise are processing of administrative data, data integration, estimating output quality and correcting for classification errors and text mining.

Dr. Ton de Waal

Ton de Waal studied mathematics at Leiden University and obtained his PhD degree in 2003 at Erasmus University Rotterdam. Since 1993 he works at Statistics Netherlands, where his current position is senior methodologist. Since 2014 he is also professor in Data Integration at Tilburg University. His main fields of expertise are statistical disclosure control, statistical data editing, imputation and data integration.

Course description

During this course we will give an overview of various typical situations that can arise when producing statistics based on multiple data sources for which one wants to measure the quality of the output. The course will provide the participants with knowledge of specific quality measures, their calculation methods and when and how to apply them, and hands on experiences of the quality measures. We will also discuss examples from the participants’ experience with the production of multisource statistics and the quality measurement of these statistics.

After the course participants will be able to identify several practical situations where the quality of multisource statistics can be measured, and will be able to apply appropriate quality measures and methods to calculate these measures.
Topics covered during the course are:

  • General introduction on (quality of) multisource statistics;
  • Bootstrapping;
  • Using latent class modelling for correcting for measure error;
  • Capture-recapture methodology to correct for under-coverage;
  • Macro-integration techniques;
  • Case studies based on input from the participants.

Target audience

The course is mainly targeted on statisticians working at institutes that produce statistical information, such as National Statistical Institutes.

Syllabus

Recommended reading material:

  • Complete Overview of Quality Measures and Calculation Methods (available online).
  • De Waal, T., Van Delden, A. and Scholtus, S. (2020), Multi-source Statistics: Basic Situations and Methods. International Statistical Review 88, pp. 203228 doi:10.1111/insr.12352
  • De Waal, T., Van Delden, A. and Scholtus, S. (2019), Quality Measures for Multi-Source Statistics. Statistical Journal of the IAOS 35, pp. 179192.

Required software

R. Recommended: R studio.