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Activity Number: 242 - Issues in Frame Quality and Accuracy Assessments
Type: Contributed
Date/Time: Monday, July 29, 2019 : 2:00 PM to 3:50 PM
Sponsor: Government Statistics Section
Abstract #304833 Presentation
Title: Evaluation of a Sample Design Based on Predicted Occupational Frame Data
Author(s): Alice Yu* and Erin McNulty
Companies: and Bureau of Labor Statistics
Keywords: hard-to-reach population; predicted frame; establishment survey; complex sample design; stratification; allocation

The Occupational Requirements Survey (ORS) is an establishment survey conducted by the Bureau of Labor Statistics (BLS) for the Social Security Administration (SSA). The survey collects information on the vocational preparation and the cognitive and physical requirements of occupations in the U.S. economy, as well as the environmental conditions in which those occupations are performed. For the first three years of the survey, the establishment sample was allocated proportional to industry employment, and occupations were subsampled within each establishment in proportion to occupational employment. In an effort to publish data on a wider variety of occupations, the ORS sample design was modified using a predicted frame of occupations. Establishments with less-common occupations were selected with greater frequency, and occupations for each establishment were pre-selected with an emphasis on these less-common occupations. This paper describes the sample design and evaluates its effectiveness in its first year of collection.

Authors who are presenting talks have a * after their name.

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