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THE PRACTICAL IMPLEMENTATION OF THE 2011 UK CENSUS IMPUTATION METHODOLOGY

This document outlines the practical application of the 2011 UK Census imputation methodology, aiming to create a complete and consistent dataset while improving upon the 2001 census. It details the CANCEIS modules, covering observed and dummy households, household variables, and individual demographics. The text discusses relationship algorithms for various demographics, data error checking methods, and imputation techniques including deterministic edits and ad hoc imputation. The ultimate goal is to ensure a robust and accurate representation of the population through effective data handling and imputation strategies.

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THE PRACTICAL IMPLEMENTATION OF THE 2011 UK CENSUS IMPUTATION METHODOLOGY

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  1. THE PRACTICAL IMPLEMENTATION OF THE 2011 UK CENSUS IMPUTATION METHODOLOGY Stephanie Aldrich Office for National Statistics22 October 2014

  2. Background • Aims • Obtain a complete and consistent database • Improve on 2001

  3. The Methodology Instances of CANCEIS Modules Observed Households HHD Households Dummy Households HHA Household Variables HHB Dummy Variables Persons 1 to 6 RA1 Relationship Algorithm 1 DMH Demographics CUH Culture HEH Health LMH Labour Market Persons 7 Plus RA2 Relationship Algorithm 2 DMC Demographics CUC Culture HEC Health LMC Labour Market RA3 Relationship Algorithm 3 Communal Persons DME Demographics CUE Culture HEE Health LME Labour Market

  4. Tuning the System • Earlier processes • Data error checking • Additional editing • Relationship triangulation rules • Deterministic edits • Tuning CANCEIS • Donor search parameters • Imputation weights • Fallback Imputation • Unique parameter files • Ad hoc imputation • Manual imputation

  5. Evaluation

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