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Abstract Details

Activity Number: 685
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #307756
Title: Inverse Probability Weighting for Clustered Nonresponse
Author(s): Chris Skinner*+
Companies: University of Southampton
Address: , Southampton, International, SO17 1BJ, United Kingdom
Keywords: missing data ; nonresponse ; propensity score ; weighting

Inverse probability weighting is a widely-used tool in estimation under selection. In survey applications, it is used to handle unequal probability sampling and non-response. This paper considers its use when the selection of different units may be dependent because of clustering. The main motivation is adjustment for nonresponse which exhibits clustering. It is assumed that nonresponse follows a logistic regression model which includes a cluster effect, which would conventionally be taken as random. The question addressed in the paper is how to 'estimate' this cluster effect when constructing inverse probability weights. Approaches considered include a marginal approach (in which the effect is integrated out), BLUP prediction of the random effect and a fixed effect approach.

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