Survey data typically have missing values due to unit and item nonresponse. Sometimes, survey organizations know the marginal distributions of certain categorical variables in the survey. As shown in previous work, survey organizations can leverage these distributions in multiple imputation for nonignorable unit nonresponse, generating imputations that result in plausible completed-data estimates for the variables with known margins. However, this prior work does not use the design weights for unit nonrespondents; rather, it relies on a set of fabricated weights for these units. We extend this previous work to utilize the design weights for all sampled units. We illustrate the approach using simulation studies.

翻译：调查数据通常因单元无应答与项目无应答而存在缺失值。调查机构有时掌握调查中某些分类变量的边际分布。如先前研究所示，调查机构可在不可忽略单元无应答的多重插补中利用这些分布，生成能使已知边际变量获得合理完整数据估计的插补值。然而，该研究未使用单元无应答者的设计权重，而是依赖一组人为构建的权重。本文扩展了该方法，实现对所有抽样单元设计权重的利用。我们通过模拟研究对该方法进行了阐释。