1. Towards the 2011 UK Census Editing Strategy Heather Wagstaff and Steven Rogers Methodology Directorate Office for National Statistics, U.K.

2. Overview The presentation is structured as follows:  Overview of edit & imputation in UK Census  CANCEIS: fitness for 2011 UK Census  Development of 2011 Census Edit Strategy  Summary

3. Overview of UK Census Edit & Imputation EDIS hard coded leading to flexibility problems:  UK countries all had slightly differing requirements;  1999 Rehearsal Data too late for system testing;  problems during live running: late changes to question set not tested; complex filter questions not followed by number of respondents.

4. Statistical Modernisation Programme Main Focus:to deliver standard statistical infrastructure, methodologies and tools; Main Aim:to apply recognised standards and practices in highly efficient way. CANCEIS endorsed as corporate edit and imputation tool:  implement where data are mainly nominal;  implemented on household surveys; and Civil Registration  now endorsed for 2011 Census.

5. CANCEIS CANadian Census Edit and Imputation System  generalised edit and imputation system  specify edits in decision logic tables  nearest neighbour imputation methodology  computationally efficient  simultaneous imputation of numeric and categorical variables

6. CANCEIS - ensuring fitness for 2011 Census 2001 UK Census  processed about 27 million forms in relation to circa. 60 million people. Demonstrate evidence of robustness for 2011 Census: 1. provide proof of concept; 2. replicate 2001 Census Editing Strategy; 3. recover statistical properties of data.

7. CANCEIS - ensuring fitness for 2011 Census Stage 1:Provide proof of concept  purpose:to access whether CANCEIS will produce complete and consistent census data  UK Census data processed by Administration Areas  convert edit rules to DLT’s  apply CANCEIS to census data  replicate in SAS to QA edit process  outcome:CANCEIS produced complete and consistent dataset in under 2 hours.

8. CANCEIS - ensuring fitness for 2011 Census Stage 2:Replicate 2001 Census Editing Strategy  purpose:to assess range of functionality

9. CANCEIS - ensuring fitness for 2011 Census Stage 3:Recover statistical properties of the data  purpose:to assess whether CANCEIS contained an imputation process of acceptable quality;  micro-simulation environment;  170K households and 400K individuals;  stochastic process - apply CANCEIS in multiple runs;  measure distributional and predictive accuracy.

10. CANCEIS - ensuring fitness for 2011 Census Step 3:Recover statistical properties of the data

11. Towards the 2011 Census Edit Strategy Develop in two parts integral to Census Quality Strategy: Part 1:Specification of comprehensive and cohesive edit rules Part 2:Research imputation methodology including  partitioning person variables  large household sizes  Communal Establishments (collectives)  differing area types

12. Towards the 2011 Census Edit Strategy Example of importance of single cohesive set of edit rules:  dependence of filter rules on 100% accuracy of date of birth at data capture.

13. Towards the 2011 Census Edit Strategy Example of methodology: partitioning person variables :  2001 Census question set partitioned in 6 main topics  Labour Market contained 4 subsets  2011 question set currently unendorsed

14. Concluding Remarks Benefits of applying a generalised system (CANCEIS) in the 2011 UK Census include:  significant cost savings and efficiency gains (inc. time to process large datasets);  flexibility and transparency;  allow time and resource to address difficult methodological issues.