Abstract #300661


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JSM 2002 Abstract #300661
Activity Number: 256
Type: Contributed
Date/Time: Tuesday, August 13, 2002 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods*
Abstract - #300661
Title: Inference on Population Means under Unweighted Imputation for Missing Survey Data
Author(s): David Haziza*+ and J. N. Rao
Affiliation(s): Statistics Canada and Carleton University
Address: , Ottawa, Ontario, K1A 0T6, Canada
Keywords: Unweighted imputation ; random hot-deck imputation ; uniform response ; ignorable response
Abstract:

Probability proportional-to-size sampling is often used in surveys, especially for the selection of primary sampling units (clusters). Also, in the presence of item nonreponse, unweighted imputation methods are often used in practice because the edit and imputation stages generally precede the estimation stage so that the sampling weights are not available at the imputation stage. Unweighted imputation methods generally lead to biased estimators under uniform response. Following Skinner and Rao (1999), we propose a bias-adjusted estimator of a population mean under unweighted ratio and random imputation and derive consistent variance estimators. A small simulation study is conducted to study the performance of the proposed estimator in terms of bias and mean squared error.


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