JSM 2005 Online Program

Abstract #304635

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:	224
Type:	Topic Contributed
Date/Time:	Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Survey Research Methods
Abstract - #304635
Title:	Incorporating Past Methodological Lessons into the 2007 Commodity Flow Survey
Author(s):	Joy Sharp*+ and Jock R. Black
Companies:	Bureau of Transportation Statistics and U.S. Census Bureau
Address:	400 7th St SW, Washington, DC, 20004, United States
Keywords:	FREIGHT TRANSPORTATION ; COMMODITY FLOW ; ESTABLISHMENT SURVEY ; ECONOMIC CENSUS ; SURVEY METHODOLOGY ; SAMPLE DESIGN
Abstract:	The Commodity Flow Survey (CFS) was last conducted in 2002 under a major partnership between the Bureau of Transportation Statistics and the U.S. Census Bureau. The CFS is a shipper-based survey and captures the flow of commodities in the United States by all modes of transportation. Industry coverage includes those establishments classified in mining, manufacturing, wholesale, and select retail establishments. The 2002 CFS marked the third in the series of commodity flow surveys conducted as part of the U.S. Census Bureau's quinquinneal economic census. First conducted in 1993, the CFS was reinitiated in 1997 and 2002, and planning is now underway for the next iteration in 2007. This paper examines the historical methodology used to conduct the CFS, discusses the unique challenges facing the measurement of freight movements, and introduces future research aimed at improving the next conduct of the survey in 2007. Specifically, this paper will address issues related to the sample design, industry coverage (including the SIC to NAICS conversion), questionnaire, data collection methodology, mileage calculation, and weighting and estimation.

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