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Calibrated random imputation for qualitative data
Date de parution
2005-3-23
In
Journal of Statistical Planning and Inference
Vol.
2
No
128
De la page
411
A la page
425
Résumé
In official statistics, when a file of microdata must be delivered to external users, it is very difficult to propose them a file where missing values has been treated by multiple imputations. In order to overcome this difficulty, we propose a method of single imputation for qualitative data that respect numerous constraints. The imputation is balanced on totals previously estimated; editing rules can be respected; the imputation is random, but the totals are not affected by an imputation variance.
Identifiants
Type de publication
journal article
