eventscribe

The eventScribe Educational Program Planner system gives you access to information on sessions, special events, and the conference venue. Take a look at hotel maps to familiarize yourself with the venue, read biographies of our plenary speakers, and download handouts and resources for your sessions.

close this panel
‹‹ Go Back

Christopher Grieves

U.S. Bureau of Labor Statistics



‹‹ Go Back

Julie Gershunskaya

U.S. Bureau of Labor Statistics



‹‹ Go Back

Please enter your access key

The asset you are trying to access is locked for premium users. Please enter your access key to unlock.


Email This Presentation:

From:

To:

Subject:

Body:

←Back IconGems-Print

498 – Improving Data Quality and Estimation Methods for the Current Employment Establishment Survey

Testing Models for Weight Smoothing in the Current Employment Statistics Survey

Sponsor: Social Statistics Section
Keywords: sampling weights, extreme observation, small area, bayesian

Christopher Grieves

U.S. Bureau of Labor Statistics

Julie Gershunskaya

U.S. Bureau of Labor Statistics

Survey estimates may be susceptible to the influence of sample units having large design weights associated with unusual observed values. Especially in smaller samples, these sample units can influence estimates disproportionately causing them to be very unstable. In this paper, we consider several model-based approaches for weight smoothing where the design weights are modeled as a function of observed survey quantities. Using these modeled weights, one hopes to reduce volatility in the weights, thus producing better estimates. In this paper we extend prior work on the Current Employment Statistics Survey (CES). Several prospective models are used for the weights, including LOESS curves and Bayesian methods. The new "smoothed" weights are then used to create new survey estimates and we compare these estimates to the true value. Analysis of the fitted weights is performed in the end to find cases where "smoothed" weights may give worse estimates.

"eventScribe", the eventScribe logo, "CadmiumCD", and the CadmiumCD logo are trademarks of CadmiumCD LLC, and may not be copied, imitated or used, in whole or in part, without prior written permission from CadmiumCD. The appearance of these proceedings, customized graphics that are unique to these proceedings, and customized scripts are the service mark, trademark and/or trade dress of CadmiumCD and may not be copied, imitated or used, in whole or in part, without prior written notification. All other trademarks, slogans, company names or logos are the property of their respective owners. Reference to any products, services, processes or other information, by trade name, trademark, manufacturer, owner, or otherwise does not constitute or imply endorsement, sponsorship, or recommendation thereof by CadmiumCD.

As a user you may provide CadmiumCD with feedback. Any ideas or suggestions you provide through any feedback mechanisms on these proceedings may be used by CadmiumCD, at our sole discretion, including future modifications to the eventScribe product. You hereby grant to CadmiumCD and our assigns a perpetual, worldwide, fully transferable, sublicensable, irrevocable, royalty free license to use, reproduce, modify, create derivative works from, distribute, and display the feedback in any manner and for any purpose.

© 2017 CadmiumCD