JSM 2005 Online Program

Abstract #303532

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	269
Type:	Contributed
Date/Time:	Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Survey Research Methods
Abstract - #303532
Title:	Phase-in of the Redesigned National Compensation Survey Area Sample
Author(s):	Jason Tehonica*+ and Lawrence R. Ernst and Chester H. Ponikowski
Companies:	Bureau of Labor Statistics and Bureau of Labor Statistics and Bureau of Labor Statistics
Address:	655 Wheat Mill Ct W, Millersville, MD, 21108, United States
Keywords:	sample redesign ; new area definitions
Abstract:	The sample design of the National Compensation Survey (NCS), conducted by the Bureau of Labor Statistics, is an area-based design. A sample redesign of the NCS is necessary each decade to conform with new area definitions set by OMB. Key products of the NCS include the Employment Cost Index (ECI), national benefit incidence and provision estimates, locality wage surveys, and area-based salary data provided to the President's Pay Agent. The NCS must adopt the new area definitions and transition to a new area sample as quickly as possible while maintaining its key products and workload levels. The transition is complex and lasts several years because the NCS locality products are generated using a rotating panel design with approximately 1/5 of the establishment sample replaced annually. In the transition, locality products will be generated from a mix of old and new area designs. This paper discusses the phase-in of the new area sample and issues associated with the transition, including potential bias issues associated with implementing a new area sample, impact on variance estimates, additional weighting complexities, and impacts on national wage estimates and the ECI.

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