IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v34y2002i9p1171-1175.html
   My bibliography  Save this article

An applied analysis of brand demand structure

Author

Listed:
  • George Baltas

Abstract

The demand literature is concerned with the optimal allocation of expenditure at varied but usually high levels of commodity aggregation. Much less aggregation however is required for business applications. In applied business settings, interest centres upon the different brands of the same commodity because policy formulation takes place at the level of the individual brand. This paper considers application of formal demand analysis to brand demand data. A theoretically plausible demand system is invoked to describe inter-brand allocation of expenditure, test restrictions imposed by economic theory and yield empirically determined insights into brand demand structure.

Suggested Citation

  • George Baltas, 2002. "An applied analysis of brand demand structure," Applied Economics, Taylor & Francis Journals, vol. 34(9), pages 1171-1175.
    • Handle: RePEc:taf:applec:v:34:y:2002:i:9:p:1171-1175
    DOI: 10.1080/00036840110085996
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840110085996
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036840110085996?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Baltas, George & Doyle, Peter, 2001. "Random utility models in marketing research: a survey," Journal of Business Research, Elsevier, vol. 51(2), pages 115-125, February.
    2. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    3. Blanciforti, Laura & Green, Richard, 1983. "An Almost Ideal Demand System Incorporating Habits: An Analysis of Expenditures on Food and Aggregate Commodity Groups," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 511-515, August.
    4. Gordon R. Foxall, 1999. "The substitutability of brands," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 20(5), pages 241-257.
    5. Clements, Kenneth W & Johnson, Lester W, 1983. "The Demand for Beer, Wine, and Spirits: A Systemwide Analysis," The Journal of Business, University of Chicago Press, vol. 56(3), pages 273-304, July.
    6. Bewley, R. A., 1983. "Tests of restrictions in large demand systems," European Economic Review, Elsevier, vol. 20(1-3), pages 257-269, January.
    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. John Beghin & Jean-Christophe Bureau & Sophie Drogue, 2004. "Calibration of incomplete demand systems in quantitative analysis," Applied Economics, Taylor & Francis Journals, vol. 36(8), pages 839-847.
    2. Baltas, George, 2004. "A model for multiple brand choice," European Journal of Operational Research, Elsevier, vol. 154(1), pages 144-149, April.
    3. Huang, Min-Hsin & Hahn, David E. & Jones, Eugene, 2004. "Determinants Of Price Elasticities For Store Brands And National Brands Of Cheese," 2004 Annual meeting, August 1-4, Denver, CO 20235, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Min-Hsin Huang & Eugene Jones & David Hahn, 2007. "Determinants of price elasticities for private labels and national brands of cheese," Applied Economics, Taylor & Francis Journals, vol. 39(5), pages 553-563.
    5. B. Verhelst & D. Van Den Poel, 2012. "Implicit Contracts and Price Stickiness: Evidence from Customer-Level Scanner Data," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/776, Ghent University, Faculty of Economics and Business Administration.
    6. Michal Lukáč & Katarína Stachová & Zdenko Stacho & Gabriela Pajtinková Bartáková & Katarína Gubíniová, 2021. "Potential of Marketing Communication as a Sustainability Tool in the Context of Castle Museums," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    7. Huang, Min-Hsin & Hahn, David E. & Jones, Eugene, 2003. "A Socioeconomic Approach To Assessing Price Competition Between Private Labels And National Brands: The Case Of Shredded Cheese," 2003 Annual meeting, July 27-30, Montreal, Canada 21993, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    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. Kenneth W. Clements & E. A. Selvanathan & Saroja Selvanathan, 1992. "Henri Theil’s Contributions to Demand Analysis," Palgrave Macmillan Books, in: Ronald Bewley & Tran Hoa (ed.), Contributions to Consumer Demand and Econometrics, chapter 5, pages 74-104, Palgrave Macmillan.
    2. Zhongming Lu & Frank Southworth & John Crittenden & Ellen Dunhum-Jones, 2015. "Market potential for smart growth neighbourhoods in the USA: A latent class analysis on heterogeneous preference and choice," Urban Studies, Urban Studies Journal Limited, vol. 52(16), pages 3001-3017, December.
    3. 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.
    4. Fiamohe, R. & Agossadou, A.J. & Kinkpe, T., 2018. "Contribution of improved processing equipment to rice value chain upgrading in West Africa: Evidence from Benin," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275966, International Association of Agricultural Economists.
    5. Ehrenberg, Andrew S. C. & Uncles, Mark D. & Goodhardt, Gerald J., 2004. "Understanding brand performance measures: using Dirichlet benchmarks," Journal of Business Research, Elsevier, vol. 57(12), pages 1307-1325, December.
    6. Peters, Mark A. & Spreen, Thomas H., 1989. "Price Endogenous Mathematical Programming Models And Integrability: An Alternative Approach," 1989 Annual Meeting, July 30-August 2, Baton Rouge, Louisiana 270478, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    8. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    9. Toni Mora & Beatriz G. Lopez‐Valcarcel, 2018. "Breakfast choice: An experiment combining a nutritional training workshop targeting adolescents and the promotion of unhealthy products," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 306-319, February.
    10. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    11. Karing’u kelvin Njuguna & Hezron Nyarindo Isaboke & Samuel Njiri Ndirangu, 2022. "Determinants of smallholders’ choice of avocado marketing outlets and profitability in Murang’a County, Kenya," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
    12. Aborisade, Olumide & Carpio, Carlos, 2017. "Household Demand for Meat in Nigeria," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252839, Southern Agricultural Economics Association.
    13. Ariane Lambert Mogiliansky & Shmuel Zamir & Herve Zwirn, 2003. "Type Indeterminacy: A Model of the KT(Kahneman-Tversky)-man," Discussion Paper Series dp343, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    14. Volpe III, Rickard James, 2014. "National Brands, Private Labels, and Food Price Inflation," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(4), pages 1-16, November.
    15. Greg Lewis & Bora Ozaltun & Georgios Zervas, 2021. "Maximum Likelihood Estimation of Differentiated Products Demand Systems," Papers 2111.12397, arXiv.org.
    16. O'Donnell, Christopher J., 2000. "Estimating The Characteristics Of Homogeneous Functionsusing Flexible Functional Forms," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123713, Australian Agricultural and Resource Economics Society.
    17. Mohammed H. Alemu & Søren Bøye Olsen & Suzanne E. Vedel & John Kinyuru & Kennedy O. Pambo, 2016. "Integrating sensory evaluations in incentivized discrete choice experiments to assess consumer demand for cricket flour buns in Kenya," IFRO Working Paper 2016/02, University of Copenhagen, Department of Food and Resource Economics.
    18. Ting Li & Robert J. Kauffman & Eric van Heck & Peter Vervest & Benedict G. C. Dellaert, 2014. "Consumer Informedness and Firm Information Strategy," Information Systems Research, INFORMS, vol. 25(2), pages 345-363, June.
    19. Mattia Girotti & Richard Meade, 2017. "U.S. Savings Banks' Demutualization and Depositor Welfare," Working Papers 2017-08, Auckland University of Technology, Department of Economics.
    20. Akinwehinmi, Oluwagbenga & Ogundari, Kolawole & Amos, Taiwo, 2021. "Consumers' Food Control Risk Perception and Preference for Government-Controlled Safety Certification in Emerging Food Markets," 2021 Conference, August 17-31, 2021, Virtual 315312, International Association of Agricultural Economists.

    More about this item

    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:taf:applec:v:34:y:2002:i:9:p:1171-1175. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.