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Office of Survey Methods Research
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Published Year: 2012
Survey/Program(s): Current Employment Statistics (CES)
Catalog: Statistical Survey Paper
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Estimation for Detailed Publication Levels in the Current Employment Statistics Survey
Abstract
Employment Statistics Survey Julie Gershunskaya Current Employment Statistics (CES) One prerequisite for successful small domain modeling is the ability to form a “pool“ of like “areas“, such that “borrowing strength“ across the areas is a viable concept. This may not always be possible for various reasons. We consider estimation of employment from the Current Employment Statistics (CES) survey conducted by the U.S. Bureau of Labor Statistics. Detailed estimation cells are defined as intersections of industrial and geographic levels. Combining direct detailed level estimates across States is not always feasible due to possible substantial differences between States, intricacies of individual States’ estimation structures, or simply due to logistics of the production procedures at State levels (for example, differences in the production timeframe.) A simple area-level model is formulated for higher level estimates. We explore the possibility of applying the parameters from the higher-level setting to States’ detailed levels.