JSM 2005 Online Program

Abstract #302907

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:	238
Type:	Contributed
Date/Time:	Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Survey Research Methods
Abstract - #302907
Title:	Investigation of Alternative Variance Estimators for the Quarterly Financial Report
Author(s):	Andromache Howe*+ and Katherine J. Thompson
Companies:	U.S. Census Bureau and U.S. Census Bureau
Address:	5604 Southwest Parkway, Austin, TX, 78735, United States
Keywords:	delete-a-group jackknife ; panel survey
Abstract:	The Quarterly Financial Report (QFR) is a survey of large companies in the mining, wholesale, retail, and manufacturing sectors. The QFR sample is divided into panels that are rotated into and out of the survey, and each noncertainty company is interviewed for eight consecutive quarters, with samples from up to three frame years in the survey. Each year, a new sample of corporate tax returns is selected with nonnegligible sampling fractions. This sample is split into four panels. A new panel is introduced each quarter, and the oldest panel is dropped. A QFR company can conduct business in a different industry than indicated on the sampling frame. QFR estimates are tabulated by the reported (enumerated) industry, not the sample (frame) industry. To estimate totals, the QFR uses a combined ratio estimator that incorporates both industry changes (from the sampling frame) and the rotation scheme. In prior survey years, the QFR has used an approximate sampling formula variance that treats the enumerated industry as if it were the sampling industry in all calculations. This is a known underestimate.

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