Taste changes in the demand for food by demographic groups in the United States: A nonparametric empirical analysis

Rafael Cortez; Ben Senauer

doi:10.2307/1243702

Taste changes in the demand for food by demographic groups in the United States: A nonparametric empirical analysis

Rafael Cortez, Ben Senauer

Research output: Contribution to journal › Article in a journal › peer-review

8 Scopus citations

Abstract

This study uses nonparametric techniques to analyze the stability of demand for nineteen major food categories among various demographic groups in the United States. Households are divided into population groups by income, the head's age, and the spouse's education level. The data used are from the 1980-90 "Diary" portion of the Bureau of Labor Statistics's annual Consumer Expenditure Survey. The programming model developed by Sakong and Hayes, with the modifications suggested by Chalfant and Zhang, is used to test for and measure taste changes. Substantial differences in preference trends between population groups are found for many of the food commodities.

Original language	English
Pages (from-to)	280-289
Number of pages	10
Journal	American Journal of Agricultural Economics
Volume	78
Issue number	2
DOIs	https://doi.org/10.2307/1243702
State	Published - May 1996

Bibliographical note

Funding Information:
Financial support for this research was provided by the Agricultural Experiment Station at the University of Minnesota. The authors wish to thank James Chalfant, who provided his computing language regarding the test for preference stability, and Alexander Meeraus, who provided the GAMS 386 version 2.25 software on a free trial basis. Chalfant and the two anonymous Journal referees provided very useful comments which improved the final version of this paper.

Keywords

Demographics
Food consumption
Nonparametric analysis
Preferences
Taste changes

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10.2307/1243702

Cite this

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title = "Taste changes in the demand for food by demographic groups in the United States: A nonparametric empirical analysis",

abstract = "This study uses nonparametric techniques to analyze the stability of demand for nineteen major food categories among various demographic groups in the United States. Households are divided into population groups by income, the head's age, and the spouse's education level. The data used are from the 1980-90 {"}Diary{"} portion of the Bureau of Labor Statistics's annual Consumer Expenditure Survey. The programming model developed by Sakong and Hayes, with the modifications suggested by Chalfant and Zhang, is used to test for and measure taste changes. Substantial differences in preference trends between population groups are found for many of the food commodities.",

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author = "Rafael Cortez and Ben Senauer",

note = "Funding Information: Financial support for this research was provided by the Agricultural Experiment Station at the University of Minnesota. The authors wish to thank James Chalfant, who provided his computing language regarding the test for preference stability, and Alexander Meeraus, who provided the GAMS 386 version 2.25 software on a free trial basis. Chalfant and the two anonymous Journal referees provided very useful comments which improved the final version of this paper.",

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T2 - A nonparametric empirical analysis

AU - Cortez, Rafael

AU - Senauer, Ben

N1 - Funding Information: Financial support for this research was provided by the Agricultural Experiment Station at the University of Minnesota. The authors wish to thank James Chalfant, who provided his computing language regarding the test for preference stability, and Alexander Meeraus, who provided the GAMS 386 version 2.25 software on a free trial basis. Chalfant and the two anonymous Journal referees provided very useful comments which improved the final version of this paper.

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N2 - This study uses nonparametric techniques to analyze the stability of demand for nineteen major food categories among various demographic groups in the United States. Households are divided into population groups by income, the head's age, and the spouse's education level. The data used are from the 1980-90 "Diary" portion of the Bureau of Labor Statistics's annual Consumer Expenditure Survey. The programming model developed by Sakong and Hayes, with the modifications suggested by Chalfant and Zhang, is used to test for and measure taste changes. Substantial differences in preference trends between population groups are found for many of the food commodities.

AB - This study uses nonparametric techniques to analyze the stability of demand for nineteen major food categories among various demographic groups in the United States. Households are divided into population groups by income, the head's age, and the spouse's education level. The data used are from the 1980-90 "Diary" portion of the Bureau of Labor Statistics's annual Consumer Expenditure Survey. The programming model developed by Sakong and Hayes, with the modifications suggested by Chalfant and Zhang, is used to test for and measure taste changes. Substantial differences in preference trends between population groups are found for many of the food commodities.

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KW - Food consumption

KW - Nonparametric analysis

KW - Preferences

KW - Taste changes

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DO - 10.2307/1243702

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SN - 0002-9092

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EP - 289

JO - American Journal of Agricultural Economics

JF - American Journal of Agricultural Economics

IS - 2

ER -

Taste changes in the demand for food by demographic groups in the United States: A nonparametric empirical analysis

Abstract

Bibliographical note

Keywords

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