Small Area Estimation by Mass Imputation: Combining Information from Two Independence Surveys


Small Area Estimation with Data from Multiple Sources

Author: Jae-kwang Kim (Department of Statistics, Iowa State University, Ames, IA)

Combining information from two independence surveys with similar measurement can be a promising area of research in small area estimation. To incorporate the survey specific effect, we use a random effect model in the population level. The sampling design can be informative in the sense that the sample distribution can be different from that of the population. A pretest method can be developed to test the significant of the random effect. We further develop a shrinkage estimation for the variance component in the random effect model. The proposed method is applied to a real data example in Korean surveys.

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