JSM 2005 Online Program

Abstract #302449

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.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page

Legend:

= Applied Session,

= Theme Session,

= Presenter

Activity Number:	380
Type:	Invited
Date/Time:	Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Survey Research Methods
Abstract - #302449
Title:	Handling Program Constraints in the Sample Design for the Commodities and Services Component of the U.S. Consumer Price Index
Author(s):	Sylvia G. Leaver*+ and Darin T. Solk
Companies:	Bureau of Labor Statistics and Bureau of Labor Statistics
Address:	2 Massachusetts Avenue, NE, Room 3655, Washington, DC, 20212,
Keywords:	Nonlinear optimization ; Cost modeling ; Components of variance ; Simulation
Abstract:	Sampling for the Commodities and Services (C&S) component of the U.S. Consumer Price Index involves selection of outlets from establishment frames and individual items from a highly stratified item frame. The methodology employed in this process relies primarily on models of survey operation costs and sampling variance. These, in turn, are used to find local solutions to a nonlinear programming problem as a first-stage sample resource allocation. Explicit constraints in this setting involve a total survey cost ceiling as well as minimum sample size requirements. However, there are additional important constraints that inform and challenge this process. This paper explores these constraints.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program