Nonresponse weighting adjustment using estimated response probability

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To reduce nonresponse bias in sample surveys, a method of nonresponse weighting adjustment is often used which consists of multiplying the sampling weight of the respondent by the inverse of the estimated response probability. The authors examine the asymptotic properties of this estimator. They prove that it is generally more efficient than an estimator which uses the true response probability, provided that the parameters which govern this probability are estimated by maximum likelihood. The authors discuss variance estimation methods that account for the effect of using the estimated response probability; they compare their performances in a small simulation study. They also discuss extensions to the regression estimator
Publisher
CANADIAN JOURNAL STATISTICS
Issue Date
2007-12
Language
English
Article Type
Article
Keywords

MODEL; IMPUTATION

Citation

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, v.35, no.4, pp.501 - 514

ISSN
0319-5724
URI
http://hdl.handle.net/10203/212949
Appears in Collection
MA-Journal Papers(저널논문)
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