Recent Developments in Dealing with Item Non-response in Surveys: A Critical Review

The most common way for treating item non-response in surveys is to construct one or more replacement values to fill in for a missing value. This process is known as imputation. We distinguish single from multiple imputation. Single imputation consists of replacing a missing value by a single replac...

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Bibliographic Details
Published in:International statistical review 2019-05, Vol.87 (S1), p.S192-S218
Main Authors: Chen, Sixia, Haziza, David
Format: Article
Language:English
Subjects:
Estimating equations
multiple imputation
multiply robust inference
Nonparametric statistics
non‐parametric imputation
semi‐parametric imputation
single imputation
variance estimation
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Summary:The most common way for treating item non-response in surveys is to construct one or more replacement values to fill in for a missing value. This process is known as imputation. We distinguish single from multiple imputation. Single imputation consists of replacing a missing value by a single replacement value, whereas multiple imputation uses two or more replacement values. This article reviews various imputation procedures used in National Statistical Offices as well as the properties of point and variance estimators in the presence of imputed survey data. It also provides the reader with newer developments in the field.
ISSN:0306-7734
1751-5823
DOI:10.1111/insr.12305