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Combining editing and imputation methods: an experimental application on population census data

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  • Antonia Manzari

Abstract

Summary. Features of census data make the editing and imputation phase a complex matter. Complex editing and imputation tasks can be tackled by dividing the editing and imputation process into subphases characterized by different problems, and finding appropriate solutions for each of them. An experimental application of the approach of combining different currently used methods for the editing and imputation of population census data is presented.

Suggested Citation

  • Antonia Manzari, 2004. "Combining editing and imputation methods: an experimental application on population census data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(2), pages 295-307, May.
    • Handle: RePEc:bla:jorssa:v:167:y:2004:i:2:p:295-307
    DOI: 10.1046/j.1467-985X.2003.0735a.x
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    1. repec:iab:iabfme:201011(en is not listed on IDEAS
    2. Gürtzgen, Nicole & Nolte, André, 2017. "Imputation rules for the implementation of the pre-unification education variable in the BASiD Data Set," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 50(1), pages 45-65.

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