Go to Statistics Portal

IMPUTATION

Statistics Directorate    
French Equivalent: Imputation

Definition:
Imputation is a procedure for entering a value for a specific data item where the response is missing or unusable.

Context:
Imputation is the process used to determine and assign replacement values for missing, invalid or inconsistent data that have failed edits. This is done by changing some of the responses or assigning values when they are missing on the record being edited to ensure that estimates are of high quality and that a plausible, internally consistent record is created. (Statistics Canada, "Statistics Canada Quality Guidelines", 4th edition, October 2003, page 41, available at: http://www.statcan.ca:8096/bsolc/english/bsolc?catno=12-539-X&CHROPG=1).

Source Publication:
Economic Commission for Europe of the United Nations (UNECE), "Glossary of Terms on Statistical Data Editing", Conference of European Statisticians Methodological material, Geneva, 2000.

Cross References:
Missing data

Hyperlink:
http://www.unece.org/

Statistical Theme: Methodological information (metadata)

Glossary Output Segments:
SDMX
MetaStore

Created on Wednesday, March 13, 2002

Last updated on Tuesday, June 11, 2013