JSM 2005 Online Program

Abstract #303976

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 - #303976
Title:	Alternative Sample Allocations for the U.S. Current Employment Statistics Survey
Author(s):	Gregory Erkens*+ and Larry L. Huff and Julie B. Gershunskaya
Companies:	Bureau of Labor Statistics and Bureau of Labor Statistics and Bureau of Labor Statistics
Address:	Room 4985, Washington, DC, 20212, United States
Keywords:	Optimum Allocation ; Relative Standard Error ; Variance
Abstract:	The Bureau of Labor Statistics began conducting the Current Employment Statistics Survey well before probability sampling was accepted as a standard for government surveys. The sample for this survey was recently (1997) converted from a quota sample to a probability sample. The resources for each state's probability sample were fixed to the size of its quota sample. Total resources for data collection are limited to the sum of all states' resources. Since the inception of the probability redesign, some states have experienced a rapid employment increase, causing state sample needs to change. We explored different methods for revising the resources available to each state while keeping the total number of resources fixed. One method involved equalizing relative standard errors (RSEs) between all states. We also reviewed several bounded optimum allocations to produce an estimate of national employment with the smallest sampling error under the given conditions. This paper reviews the methods we investigated and their effects on the national and state RSEs.

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