Mass imputation for two-phase sampling

Date
2019-04-03
Authors
Park, Seho
Kim, Jae Kwang
Kim, Jae Kwang
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Altmetrics
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Statistics
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Statistics
Abstract

Two-phase sampling is a cost-effective method of data collection using outcomedependent sampling for the second-phase sample. In order to make efficient use of auxiliary information and to improve domain estimation, mass imputation can be used in two-phase sampling. Rao and Sitter (1995) introduce mass imputation for two-phase sampling and its variance estimation under simple random sampling in both phases. In this paper, we extend the Rao–Sitter method to general sampling design. The proposed method is further extended to mass imputation for categorical data. A limited simulation study is performed to examine the performance of the proposed methods.

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This is a manuscript of an article published as S. Park and J.K. Kim (2019). "Mass imputation for two-phase sampling", Journal of the Korean Statistical Society. doi: 10.1016/j.jkss.2019.03.002. Posted with permission.

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