JSM 2005 - Toronto

Abstract #302399

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 78
Type: Invited
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #302399
Title: Distribution of Sampling, Nonresponse, Reporting, and Model Errors in Small Domain Estimators from the Current Employment Statistics Program
Author(s): John L. Eltinge*+ and Julie B. Gershunskaya and Larry L. Huff
Companies: Bureau of Labor Statistics and Bureau of Labor Statistics and Bureau of Labor Statistics
Address: Office of Survey Methods Research, PSB 1950, BLS, Washington, DC, 20212, USA
Keywords: Covered Employment and Wages (ES-202) Program ; Lack of fit ; Measurement error ; Outliers ; Small area estimation ; Weighted link relative estimator
Abstract:

In small domain estimation, the difference between a published estimate and the underlying true population value may depend on several sources of error, including sampling error, nonresponse, reporting error, and model lack of fit. In many applications, evaluation of the relative magnitudes of these errors requires fairly restrictive modeling assumptions. However, for small domain estimation in the Current Employment Statistics (CES) Program, two special features allow direct empirical evaluation of error components. This talk will focus on those features. First, the CES uses a frame obtained from an administrative record source. Second, this administrative record source provides nominal true values for each population unit approximately six to nine months after a given CES reference month. Consequently, one may use the differences between the survey and administrative record values for sample and population units to evaluate the distribution of each of the abovementioned error components.

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