The Effect of Imputation on Variance Estimation

Abstract

Missing data due to nonresponse, edit failure, and other factors appear in all surveys of human populations. Standard methods of handling missing data can result in an inflation in the estimator variance relative to the variance that would have occurred had all data been observed. This final appendix defines the extra variability and summarizes several methods that can be used to ensure that it properly reflected in the variance estimates.