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A Uniform Substitute Demand Model With Varying Coefficients

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  • Brown, Mark G.
  • Lee, Jonq-Ying

Abstract

This study extends Barten's synthetic demand modeling approach to increase the flexibility of the uniform substitute specification of the Rotterdam demand system. Marginal propensities to consume (MPC) vary with budget shares and Slutsky coefficients are defined in terms of varying MPCs. An application of the model to orange-juice products shows that the pattern of income and price elasticities over time is much different than when MPCs are restricted to be constant.

Suggested Citation

  • Brown, Mark G. & Lee, Jonq-Ying, 2000. "A Uniform Substitute Demand Model With Varying Coefficients," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(01), pages 1-10, April.
    • Handle: RePEc:ags:joaaec:15403
    DOI: 10.22004/ag.econ.15403
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    References listed on IDEAS

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    1. Byron, R. P., 1984. "On the flexibility of the Rotterdam model," European Economic Review, Elsevier, vol. 24(3), pages 273-283, April.
    2. Barten, Anton P, 1993. "Consumer Allocation Models: Choice of Functional Form," Empirical Economics, Springer, vol. 18(1), pages 129-158.
    3. Mark G. Brown, 1993. "Demand Systems for Competing Commodities: An Application of the Uniform Substitute Hypothesis," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(3), pages 577-589.
    4. Barnett, William A., 1984. "On the flexibility of the Rotterdam model : A first empirical look," European Economic Review, Elsevier, vol. 24(3), pages 285-289, April.
    5. Barten, Anton P, 1977. "The Systems of Consumer Demand Functions Approach: A Review," Econometrica, Econometric Society, vol. 45(1), pages 23-51, January.
    6. Mountain, Dean C, 1988. "The Rotterdam Model: An Approximation in Variable Space," Econometrica, Econometric Society, vol. 56(2), pages 477-484, March.
    7. BARTEN, Anton P., 1969. "Maximum likelihood estimation of a complete system of demand equations," LIDAM Reprints CORE 34, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Barten, A. P., 1969. "Maximum likelihood estimation of a complete system of demand equations," European Economic Review, Elsevier, vol. 1(1), pages 7-73.
    9. BARTEN, Anton P., 1977. "The systems of consumer demand functions approach: A review," LIDAM Reprints CORE 284, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. Brown, Mark G. & Behr, Robert M. & Lee, Jonq-Ying, 1994. "Conditional Demand And Endogeneity? A Case Study Of Demand For Juice Products," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), pages 1-12, July.
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    Cited by:

    1. Kim, Hyeyoung & Zansler, Marisa & House, Lisa A., 2016. "The imperfect price responses of orange juice demand in the U.S," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235511, Agricultural and Applied Economics Association.
    2. Andrew Muhammad & Terrill R. Hanson, 2009. "The importance of product cut and form when estimating fish demand: the case of U.S. Catfish," Agribusiness, John Wiley & Sons, Ltd., vol. 25(4), pages 480-499.
    3. Hyeyoung Kim & Marisa Zansler & Lisa A. House, 2018. "Retail promotion with price cut and the imperfect price responses of orange juice demand in the U.S," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 363-376, March.
    4. Brown, Mark G., 2006. "Impact of Income on Price and Income Responses in the Differential Demand System," Research papers 36836, Florida Department of Citrus.
    5. Mark Brown & Jonq-Ying Lee, 2008. "Impacts of the distribution of households across income groups in a differential demand system for orange juice," Empirical Economics, Springer, vol. 34(3), pages 567-584, June.

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