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Activity Number: 439 - Contributed Poster Presentations: Survey Research Methods Section
Type: Contributed
Date/Time: Wednesday, August 10, 2022 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #322166
Title: Application of Efficient Sampling with Prediction for Skewed Data
Author(s): James Randolph Knaub*
Companies: Retired
Keywords: Establishment surveys; Model-based approach; Official Statistics; Prediction Approach; Quasi-cutoff sampling; Total survey error
Abstract:

Official Statistics from establishment surveys are not only the basis for routine monitoring of markets and perhaps systems in general, they are essential for discovering problems for which innovative approaches may be needed. Statistical agencies remain the workhorses for regularly providing this information. For establishment surveys one needs to collect data efficiently, making an effort to reduce burden on small establishments, and reduce costs to the Government, while promoting accuracy of results in terms of total survey error. For over three decades, these demanding standards have been met using quasi-cutoff sampling and prediction, applied extensively to some of the repeated official US energy establishment surveys. This success may be duplicated for other applications where sample surveys occur periodically, and there is an occasional census produced for the same data items. Sometimes stratification is needed, but sometimes the borrowing of strength, as in small area estimation, may be used. References will be given to help avoid pitfalls. The idea is to encourage expanding this elegant approach to other applications. - Dedicated to Ken Brewer, mentor and friend.


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

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