1. New and Emerging Methods
Possible discussion points

2. Automatic editing Which errors are more important?
random errors?
systematic errors?
Do we need new methodology for detecting random errors?
based on edit rules?
based on statistical outlier detection?
What are the experiences with respect to detecting and correcting systematic errors at other agencies?
What kinds of systematic errors can we distinguish?

3. Imputation
Is imputation under edit restrictions an important new topic?
Is imputation preserving known totals an important new topic?
Is multiple imputation the way of the future?
to smooth variability of single imputations?
to estimate (co)variances?

4. Detection of influential errors/selective editing
In this session only one paper on selective editing
Is selective editing no longer “new and emerging”?
Are we near the end of the theoretical development of selective editing?
Should selective editing be based on complicated methods or do simple methods suffice?

5. Impact of editing
Should we focus more on measuring the impact of (changing) the edit strategy?
What are the experiences at other agencies in this respect?
Can we improve on the Snowdon-X approach?

6. Data Is the focus shifting to periodic data/time series?
Is the focus shifting to longitudinal data?

7. Software development How should we develop software? Open source
Commercial of the shelf
Find commercial vendor to develop software for us
Develop software together in international projects
Each agency develops its own software

8. Edit and imputation
Is error localization more important than imputation?
Is imputation more important than error localization?