237 – Statistical Inference
Estimation Considerations for the Occupational Requirements Survey
Bradley D. Rhein
Bureau of Labor Statistics
Chester H. Ponikowski
Bureau of Labor Statistics
Erin McNulty
Bureau of Labor Statistics
The Bureau of Labor Statistics (BLS) is working with the Social Security Administration (SSA) to carry out a series of tests to determine the feasibility of using the National Compensation Survey (NCS) platform to accurately and reliably capture data that are relevant to the SSA's disability program. The proposed new Occupational Requirements Survey (ORS) is envisioned to be an establishment survey that 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. Many of the data elements are collected on the basis of presence and then are measured by duration (length of time). Some data elements collected are conditional on the presence of another data element. This paper discusses the considerations for developing the estimates to be produced for ORS and how the micro data may be adjusted to account for unit and item non-response.