IDEAS home Printed from https://ideas.repec.org/a/ags/joaaec/15403.html
   My bibliography  Save this article

A Uniform Substitute Demand Model With Varying Coefficients

Author

Listed:
  • 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(1), pages 1-10, April.
    • Handle: RePEc:ags:joaaec:15403
    DOI: 10.22004/ag.econ.15403
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/15403/files/32010001.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.15403?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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).
    4. Barten, A. P., 1969. "Maximum likelihood estimation of a complete system of demand equations," European Economic Review, Elsevier, vol. 1(1), pages 7-73.
    5. 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(1), pages 1-12, July.
    6. Barten, Anton P, 1977. "The Systems of Consumer Demand Functions Approach: A Review," Econometrica, Econometric Society, vol. 45(1), pages 23-51, January.
    7. Barten, Anton P, 1993. "Consumer Allocation Models: Choice of Functional Form," Empirical Economics, Springer, vol. 18(1), pages 129-158.
    8. Byron, R. P., 1984. "On the flexibility of the Rotterdam model," European Economic Review, Elsevier, vol. 24(3), pages 273-283, April.
    9. 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.
    10. Mountain, Dean C, 1988. "The Rotterdam Model: An Approximation in Variable Space," Econometrica, Econometric Society, vol. 56(2), pages 477-484, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Brown, Mark G., 2006. "Impact of Income on Price and Income Responses in the Differential Demand System," Research papers 36836, Florida Department of Citrus.
    3. 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.
    4. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brown, Mark G., 2006. "Impact of Income on Price and Income Responses in the Differential Demand System," Research papers 36836, Florida Department of Citrus.
    2. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    3. Kesavan, Thulasiram, 1988. "Monte Carlo experiments of market demand theory," ISU General Staff Papers 198801010800009854, Iowa State University, Department of Economics.
    4. Dave Weatherspoon & James Oehmke & Assa Dembélé & Marcus Coleman & Thasanee Satimanon & Lorraine Weatherspoon, 2013. "Price and Expenditure Elasticities for Fresh Fruits in an Urban Food Desert," Urban Studies, Urban Studies Journal Limited, vol. 50(1), pages 88-106, January.
    5. Brown, Mark G., 2009. "Preference Variable Impacts in Direct and Inverse Differential Demand Systems," Research papers 104331, Florida Department of Citrus.
    6. Brown, Mark G., 2008. "Impact of Income on Price and Income Responses in the Differential Demand System," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(2), pages 1-16, August.
    7. Dave Weatherspoon & James Oehmke & Assa Dembele & Lorraine Weatherspoon, 2015. "Fresh vegetable demand behaviour in an urban food desert," Urban Studies, Urban Studies Journal Limited, vol. 52(5), pages 960-979, April.
    8. Brown, Mark G. & Lee, Jonq-Ying, 1992. "A Dynamic Differential Demand System: An Application Of Translation," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(2), pages 1-10, December.
    9. Holt, Matthew T., 2002. "Inverse demand systems and choice of functional form," European Economic Review, Elsevier, vol. 46(1), pages 117-142, January.
    10. Barten, Anton P. & McAleer, Michael, 1997. "Comparaison de la performance du point de vue empirique de systèmes de demandes alternatifs," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 27-45, mars-juin.
    11. Paul Cashin, 1991. "A Model Of The Disaggregated Demand For Meat In Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 35(3), pages 263-283, December.
    12. Wong, Lucille & Selvanathan, Eliyathamby A. & Selvanathan, Saroja, 2015. "Modelling the meat consumption patterns in Australia," Economic Modelling, Elsevier, vol. 49(C), pages 1-10.
    13. William A. Barnett & Isaac Kalonda Kanyama, 2013. "Time-varying parameters in the almost ideal demand system and the Rotterdam model: will the best specification please stand up?," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4169-4183, October.
    14. Ignacio, Escañuela Romana, 2019. "The elasticities of passenger transport demand in the Northeast Corridor," Research in Transportation Economics, Elsevier, vol. 78(C).
    15. Sarker, Dr. Rakhal & Koto, Prosper & Cassidy, Heather, 2015. "A Demand System for Major Dairy Products in Ontario," 2015 Conference, August 9-14, 2015, Milan, Italy 212689, International Association of Agricultural Economists.
    16. William A. Barnett & Isaac Kalonda Kanyama, 2013. "Time-varying parameters in the almost ideal demand system and the Rotterdam model: will the best specification please stand up?," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4169-4183, October.
    17. Saroja Selvanathan, 1991. "Regional Consumption Patterns in Australia: A System‐Wide Analysis," The Economic Record, The Economic Society of Australia, vol. 67(4), pages 338-345, December.
    18. Vik Singh, 2005. "Estimating a third-order translog demand system using Canadian micro-data," Econometrics 0512011, University Library of Munich, Germany.
    19. Toshinobu Matsuda, 2005. "Differential Demand Systems: A Further Look at Barten's Synthesis," Southern Economic Journal, John Wiley & Sons, vol. 71(3), pages 607-619, January.
    20. Seale, James L. Jr. & Zhang, Lisha & Traboulsi, Mohamad R., 2013. "Domestic and Foreign Sources of U.S. Demand for Fresh Vegetables and Fruits," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150769, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Demand and Price Analysis;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:joaaec:15403. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.