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Imputation of household survey data using linear mixed models
Centre for Statistical & Survey Methodology Working Paper Series
  • Luise P Lago, University of Wollongong
  • Robert Graham Clark, University of Wollongong
Publication Date
This paper investigates whether using a linear mixed model to impute missing values in household surveys leads to improvement over imputation using a linear model and other standard imputation methods. The mixed model imputes leads to clear although not large improvements in predictive accuracy and the estimation of means, standard deviations and deciles, particularly when non-response is informative.
Citation Information
Luise P Lago and Robert Graham Clark. "Imputation of household survey data using linear mixed models" (2012)
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