JSM 2004 Online Program

Abstract #302122

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Activity Number:	229
Type:	Contributed
Date/Time:	Tuesday, August 10, 2004 : 10:30 AM to 12:20 PM
Sponsor:	Section on Survey Research Methods
Abstract - #302122
Title:	Consumer Expenditure Variance Estimation Incorporating Generalized Variance Functions in Hierarchical Bayes Models
Author(s):	Paul Hinrichs*+
Companies:	Peru State College
Address:	PO Box 10, Peru, NE, 68421,
Keywords:	consumer expenditure ; generalized variance ; hierarchical Bayes
Abstract:	This paper investigates models for sampling error that would improve the stability of mean annual consumer expenditure estimates. Hierarchical Bayes models presented consider mean estimates from five interview and diary sources for diary only estimates when interview estimates are also available. The investigation breaks down the problem into improving the GVF estimate of variance through three-digit classification of UCCs, estimation of sampling variance using hierarchical models and mean expenditure estimation. Model comparison and variance of variance estimates are demonstrated.

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