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CCSA Conference on data quality for international organizations Rome, 7-8 July 2008 1 Some quality issues in imputation: ILO experiences A.S. Young ILO.

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Presentation on theme: "CCSA Conference on data quality for international organizations Rome, 7-8 July 2008 1 Some quality issues in imputation: ILO experiences A.S. Young ILO."— Presentation transcript:

1 CCSA Conference on data quality for international organizations Rome, 7-8 July 2008 1 Some quality issues in imputation: ILO experiences A.S. Young ILO Bureau of Statistics

2 CCSA Conference on data quality for international organizations Rome, 7-8 July 2008 2 Quality issues Quality as “Fit for purpose” Dimensions examined: –t–the purpose –t–the approach taken in making the imputations; and –t–the dissemination policies used.

3 CCSA Conference on data quality for international organizations Rome, 7-8 July 2008 3 Purpose Evolution over time of a characteristic – national level Evolution over time of the distribution of a characteristic over countries – international level Issue 1: Given these different purposes, should imputed values derived for a country at a point in time through the two processes be expected to be the same?

4 CCSA Conference on data quality for international organizations Rome, 7-8 July 2008 4 Issue 2:Implicit vs Explicit Holt’s proposal “Suggestion 6: Agencies should seek to establish explicit imputation methods where thorough empirical analyses can demonstrate that these are robust and methodologically sound.”

5 CCSA Conference on data quality for international organizations Rome, 7-8 July 2008 5 Approach Issue 3: Is an analysis of ‘missingness’ important? Model selection: goodness-of-fit and predictive power Diagnostics: –T–Tabassum and Holt (2004), “The model fitting process must not be regarded as automatic and considerable checking and validation of results is required …”

6 CCSA Conference on data quality for international organizations Rome, 7-8 July 2008 6

7 CCSA Conference on data quality for international organizations Rome, 7-8 July 2008 7 Implausible values Issue 4: What to do with implausible imputed values? Abayomi et al: “When problems are found, the imputer should refine the imputation model to create improved imputations that are consistent.” Issue 5: Should the functional model be the same for all regions, if separate regional imputations are done?

8 CCSA Conference on data quality for international organizations Rome, 7-8 July 2008 8

9 CCSA Conference on data quality for international organizations Rome, 7-8 July 2008 9 Uses and dissemination Handling of imputation (plausibility) errors? Handling of revised values? Consultation with countries: quality assurance of methods used Acceptance by users: Full documentation of process used


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