On the efficiency of convoluted weighted method for missing values in household surveys
Department of Statistics, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria.
Research Article
World Journal of Advanced Research and Reviews, 2023, 18(01), 815–832
Publication history:
Received on 10 March 2023; revised on 17 April 2023; accepted on 19 April 2023
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.
Keywords:
Household survey; Non-response; Bias; Missing Value; Demographic characteristics
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0