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The Demand for Sweet Spreads: Demographic and Economic Effects for Detailed Commodities

Published online by Cambridge University Press:  10 May 2017

Dale Heien
Affiliation:
University of California, Davis
Lois Schertz Willett
Affiliation:
University of California, Davis
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Abstract

In this paper we estimate the price and income elasticities for five sweet spreads using a two-stage budgeting procedure. The first stage modeled the consumer's budget decision as a Tobit model, where total sweet spread expenditures are based on income and demographic variables. The second stage, including only those households with nonzero first stage expenditures, was treated as a standard consumer allocation problem using the AIDS model. To incorporate population demographics, the AIDS model was expanded by specifying the constant term as a linear function of demographic variables. The coefficients for the prices and expenditures are highly significant and demand is elastic for all five goods. The most significant demographic effects are due to household size, and female food shopper. The theoretical restrictions of homogeneity and symmetry were tested and rejected for the complete system.

Type
Articles
Copyright
Copyright © 1986 Northeastern Agricultural and Resource Economics Association 

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Footnotes

Authorship is shared equally. This is a Giannini Foundation Research Paper No. 808.

References

Barnes, R. and Gillingham, R.Demographic Effects in Demand Analysis: Estimation of The Quadratic Expenditure System Using Microdata,The Review of Economics and Statistics 66 (1984):591601.Google Scholar
Barnett, W. A.Theoretical Foundations for the Rotterdam Model,” Review of Economic Studies 46 (1979):109130.Google Scholar
Berndt, E. R. and Savin, N. E.Conflict Among Criteria for Testing Hypothesis in the Multivariate Linear Regression Model,Econometrica 45 (1977):12631279.Google Scholar
Byron, R. P.The Restricted Aitken Estimation of Sets of Demand Relations,” Econometrica 38 (1970):816830.Google Scholar
Capps, O. Jr., Tedford, J. R. and Havlicek, J. Jr.Household Demand for Convenience and Nonconvenience Foods,” American Journal of Agricultural Economics 67 (1985):862869.Google Scholar
Deaton, A. and Muellbauer, J.An Almost Ideal Demand System,American Economic Review 70 (1980a):312326.Google Scholar
Deaton, A. and Muellbauer, J. Economics and Consumer Behavior. (Cambridge University Press, 1980b).Google Scholar
Dhrymes, P.Small Sample and Asymptotic Relations Between Maximum Likelihood and Three Stage Least-Squares Estimates,” Econometrica 41 (1973):357364.Google Scholar
Johnston, J. Econometric Methods. 3rd ed. New York: McGraw-Hill, 1984.Google Scholar
Lau, L.Existence Conditions for Aggregate Demand Functions: The Case of Multiple Indexes,” Technical Report No. 249(R), Institute for Mathematical Studies in the Social Sciences, Stanford University, Nov. 1977, 57 pages.Google Scholar
Muellbauer, J.Aggregation, Income Distribution and Consumer Demand,” Review of Economic Studies 42 (1975):525543.Google Scholar
Pollak, R. and Wales, T.Demographic Variables in Demand Analysis,Econometrica 49 (1981):15331551.Google Scholar
Pollak, R. and Wales, T.Estimation of the Linear Expenditure System,Econometrica 37 (1969):611628.Google Scholar
U.S. Department of Agriculture, Human Nutrition Information Service. Nationwide Food Consumption Survey 1977–1978, Report No. H-10, August 1983.Google Scholar
Wales, T. J. and Woodland, A. D., “Estimation of Consumer Demand Systems with Binding Non-Negativity Constraints,Journal of Econometrics 14 (1983):264285.Google Scholar
Woodland, A. D.Stochastic Specification and the Estimation of Share Equations,” Journal of Econometrics 10 (1979):361383.Google Scholar