Abstract #300737

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JSM 2003 Abstract #300737
Activity Number: 449
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 8:30 AM to 10:20 AM
Sponsor: Social Statistics Section
Abstract - #300737
Title: Latent Class Modeling and Estimation of Errors in Consumer Expenditure Reports
Author(s): Clyde Tucker*+ and Paul P. Biemer and Brian J. Meekins
Companies: Bureau of Labor Statistics and RTI International and Bureau of Labor Statistics
Address: Room 4915, Washington, DC, 20212-0001,
Keywords: measurement error ; bias ; longitudinal surveys ; latent structure analysis
Abstract:

This paper uses latent class analysis to make final models of the error structure in different categories of consumer expenditure reports collected in the BLS Consumer Expenditure Quarterly Survey (CEQ). Data from the CEQ are used to calculate cost weights used in the Consumer Price Index. Based upon the model, preliminary estimates will be made of errors in individual consumer reports by category. These estimates are predicated on the assumption that respondents can be assigned to a cell based on their method of completing the survey and their demographic characteristics such that the error within a given cell is approximately the same for all respondents in that cell. As a byproduct of this work, various technical issues surrounding the use of latent class analysis will be explored.

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