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Activity Number: 300 - Innovations in and Applications of Imputation
Type: Contributed
Date/Time: Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
Sponsor: Government Statistics Section
Abstract #304840
Title: Redefining Viability in Data Collection and Its Impact on Estimation
Author(s): Leland Righter* and Alice Yu and Bradley Rhein
Companies: Bureau of Labor Statistics and and Bureau of Labor Statistics
Keywords: establishment survey; estimation; variance

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. Thus far, viability at the quote level of data collection has been defined at a single standard and never adjusted. This paper will describe research performed to adjust the viability of quote-level data in the ORS and its impact on estimates, standard errors, and publishability. It will also weigh the pros and cons of each definition of viability in an attempt to find an optimal range for the efficacy of the survey.

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

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