Imputation of household survey data using linear mixed models

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.