Survey Estimation Under Informative Non-Response with Follow-up

Abstract

This paper deals with survey estimation when there is partial follow-up of sample non-response. Two different approaches that make use of the follow-up data are presented, the first based on weighting and the other on prediction, with appropriate variance estimators developed for each case. A simulation evaluation of these approaches using synthetic data and informative non-response is then used to contrast them with a basic weighting approach that does not take advantage of the follow-up survey. Our results indicate that the new approaches lead to significant improvement as far as estimation of the population total is concerned.

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