Journal of Official Statistics, Vol.22, No.1, 2006. pp. 8195

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Survey Estimation Under Informative Nonresponse with Follow-up

This article deals with survey estimation when there is partial follow-up of sample nonresponse. 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 using synthetic data and informative nonresponse is then used to compare these two approaches, as well as to contrast them with a simpler weighting approach that ignores the information obtained by the follow-up survey and treats the nonresponse as missing at random. Our results indicate that the new approaches lead to significant improvement as far as estimation of the population total is concerned.

Imputation, sample weighting, prediction approach, response propensity modelling

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