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Evaluation of the Canadian Census Editing and Imputation System

This research project aimed to evaluate Canadian Census Editing and Imputation System (CANCEIS), the editing and imputation system used by Statistics Canada for census, and to recommend whether Statistics New Zealand should consider implementing the Canadian system in the next New Zealand census in 2006.

CANCEIS uses a nearest-neighbour imputation methodology based on the minimum change donor system of Fellegi and Holt. This is a more sophisticated editing and imputation system than Statistics New Zealand has the resources to produce. It appears to offer the potential to produce higher quality outputs without operator intervention for demographic variables, and may also allow family coding to be fully automated.

This report compares CANCEIS with the current Statistics New Zealand approach to census editing and imputation, and evaluates the performance of CANCEIS for some simple households and for a limited range of demographic variables.

Printable version

The contents of the attached file is in Adobe Acrobat Reader format. If you do not have the Adobe Acrobat Reader you may download the reader to view or print the contents of this file.

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