IDEAS home Printed from https://ideas.repec.org/p/ags/saea17/251922.html
   My bibliography  Save this paper

Brand-Level Demand Analysis of Mayonnaise in Northeast Texas

Author

Listed:
  • Bakhtavoryan, Rafael

Abstract

Mayonnaise is the most consumed condiment in the U.S. with domestic consumers spending some $2 billion on its consumption and with a couple of brands controlling a significant portion of the market. However, the demand for mayonnaise at the brand level has not been studied extensively in previous research. In this study, the Barten synthetic model was estimated to investigate the demand for mayonnaise and competition among major mayonnaise brands (private label, Hellmann’s, Kraft, and other brands) in Northeast Texas. Compensated cross-price elasticities revealed that Kraft was the major competitor to private label and other brands, while private label was the major competitor to Kraft.

Suggested Citation

  • Bakhtavoryan, Rafael, 2017. "Brand-Level Demand Analysis of Mayonnaise in Northeast Texas," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 251922, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea17:251922
    DOI: 10.22004/ag.econ.251922
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/251922/files/SAEA_Manuscript_Mayo%20Brands_2017_FINAL.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.251922?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. 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.
    2. Barten, Anton P, 1993. "Consumer Allocation Models: Choice of Functional Form," Empirical Economics, Springer, vol. 18(1), pages 129-158.
    3. Keller, W.J. & Van Driel, J., 1985. "Differential consumer demand systems," European Economic Review, Elsevier, vol. 27(3), pages 375-390.
    4. Berndt, Ernst R & Savin, N Eugene, 1975. "Estimation and Hypothesis Testing in Singular Equation Systems with Autoregressive Disturbances," Econometrica, Econometric Society, vol. 43(5-6), pages 937-957, Sept.-Nov.
    5. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    6. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, October.
    Full references (including those not matched with items on IDEAS)

    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. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908, December.
    2. Andres Silva & Senarath Dharmasena, 2016. "Considering seasonal unit root in a demand system: an empirical approach," Empirical Economics, Springer, vol. 51(4), pages 1443-1463, December.
    3. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    4. Adrian R. Fleissig, 2016. "Changing Trends in U.S. Alcohol Demand," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(3), pages 263-276, September.
    5. 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.
    6. Huffman, Wallace, 2004. "Marketizing U.S. Production in the Post-War Era: Implications for Estimating CPI Bias and Real Income from a Complete-Household-Demand System," Staff General Research Papers Archive 11987, Iowa State University, Department of Economics.
    7. Yeboah, Godfred & Maynard, Leigh J., 2004. "The Impact Of Bse, Fmd, And U.S. Export Promotion Expenditures On Japanese Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 19978, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Kira Lancker & Julia Bronnmann, 2022. "Substitution Preferences for Fish in Senegal," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 1015-1045, August.
    9. Lee, Min-Yang A. & Thunberg, Eric M., 2012. "An Inverse Demand System for New England Groundfish: Welfare Analysis of the Transition to Catch Share Management," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123879, Agricultural and Applied Economics Association.
    10. Yadavalli, Anita & Jones, Keithly, 2014. "Does media influence consumer demand? The case of lean finely textured beef in the United States," Food Policy, Elsevier, vol. 49(P1), pages 219-227.
    11. Silva, Andres & Dharmasena, Senarath, 2013. "Modeling Seasonal Unit Roots as a Simple Empirical Method to Handle Autocorrelation in Demand Systems: Evidence from UK Expenditure Data," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149928, Agricultural and Applied Economics Association.
    12. Brown, Mark G. & Lee, Jonq-Ying & Seale, James L., 1994. "Demand Relationships Among Juice Beverages: A Differential Demand System Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 26(2), pages 417-429, December.
    13. Andreas Widenhorn & Klaus Salhofer, 2014. "Price Sensitivity Within and Across Retail Formats," Agribusiness, John Wiley & Sons, Ltd., vol. 30(2), pages 184-194, March.
    14. Dhraief, Mohamed Zied & Oueslati, Meriem & Dhehibi, Boubaker, 2012. "Meat And Fish Demand In Tunisia: Economic And Socio-Demographic Factors Effects," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126710, International Association of Agricultural Economists.
    15. 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.
    16. Dhraief, Mohamed Zied & Oueslati, Meriem & Dhehibi, Boubaker, 2013. "Income, Education and Age Effects on Meat and Fish Demand in Tunisia," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 1(2), pages 1-12.
    17. 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.
    18. Brown, Mark G. & Lee, Jonq-Ying, 2012. "The AIDS: A chain price index approach," Economics Letters, Elsevier, vol. 117(2), pages 477-479.
    19. Brown, Mark G., 2009. "Preference Variable Impacts in Direct and Inverse Differential Demand Systems," Research papers 104331, Florida Department of Citrus.
    20. Arancibia, Rodrigo García & Masaro, Jimena Vicentin & Coronel, Mariano, 2024. "Latin American beer production and import demand for regional malt and malted barley," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 15(02), June.

    More about this item

    Keywords

    Consumer/Household Economics; Demand and Price Analysis;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:saea17:251922. 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.