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AREC Home |
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| Estimation
of Theoretically Plausible Demand Functions from U.S. Consumer Expenditure
Survey Data Lester D. Taylor |
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| Abstract | |
| The
purpose of this paper is the application of four popular theoretically
plausible consumer demand systems to a common cross-sectional data set
that combines expenditure data from the quarterly BLS consumer expenditure
surveys with price data that are collected quarterly in cost-of-living
surveys conducted by ACCRA. Six broad categories of expenditure that exhaust
total expenditure are analyzed: food consumed at home, housing, utilities,
transportation, health care, and miscellaneous. The four demand systems
investigated are the Almost-Ideal-Demand-System, the Linear Expenditure
System, and the Indirect and Direct Addilog models. Despite absolute differences
in magnitudes that in some instances are rather large, there is substantial
agreement in the rank-orderings of elasticities. In general, the largest
elasticities (for both own-price and total expenditure) are for transportation,
miscellaneous, and housing expenditures, while the smallest elasticities
(again for both own-price and total expenditure) are for food and utility
expenditures. Engel’s Law for food is confirmed in all instances. |
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© 2007 Dept. of Agricultural & Resource Economics, The University of Arizona
Send comments or questions to arecweb@ag.arizona.edu
Last updated May 10, 2005
Document located at http://ag.arizona.edu/arec/pubs/researchpapers/abstract2004-15.html