On the efficiency of convoluted weighted method for missing values in household surveys

Abstract

Household surveys collect information on social and demographic characteristics in which the household constitutes the sampling units. They are effective means of obtaining variety of data needed for informed policy formulation and monitoring of national development. Despite their increasing recognition, household surveys suffer from non-response which creates bias estimates leading to wrong inference if not properly addressed. Existing estimators for handling missing values focused on the quality of missing value estimates without considering the resulting effects on location and scale parameters with regard to the nature of missingness and number of missing values. The convoluted weighted method was more efficient than the existing estimators with increasing number and nature of missingness. Its use will enhanced the level of precision of the estimated population parameter in the presence of missing values in household surveys.