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Abstract Details

Activity Number: 66
Type: Topic Contributed
Date/Time: Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #304130
Title: Small-Area Estimation Combining Information from Several Sources
Author(s): Seunghwan Park*+ and Seo-young Kim and Jaekwang Kim
Companies: Seoul National University and Statistics Korea and Iowa State University
Address: SAN 56-1, Sillim-Dong, Gwanak-Gu, Seoul, International, , South Korea
Keywords: synthetic estimation ; measurement error ; two-phase sampling ; generalized least squares ; area level model

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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