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66 – Topics on Small-Area Estimation

Small-Area Estimation Combining Information from Several Sources

Sponsor: Section on Survey Research Methods
Keywords: synthetic estimation, measurement error, two-phase sampling, generalized least squares, area level model

Jaekwang Kim

Iowa State University

Seo-young Kim

Statistics Korea

Seunghwan Park

Seoul National University

Combining information from different source is an important practical problem. The source of information can come from a probability sampling with direct measurement, from another probability sampling with indirect measurement, or from auxiliary area level information. We consider the area-level model approach to small area estimation with at least two survey information. The way we combine information is based on the generalized least squares estimation from the measurement error model, where the sampling error of the survey estimates of direct measurement can be treated as the measurement error. Mean square estimation is also discussed. The proposed method is applied to the Korean labor force survey problem.

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