IDEAS home Printed from
   My bibliography  Save this article

A Simultaneous Equations Model of Coffee Brand Pricing and Advertising


  • Nelson, Philip
  • Siegfried, John J
  • Howell, John


This paper explores the relationship between a differentiated brand's market share and its price in the context of a model that recognizes the endogeneity of the brand's advertising behavior and pricing decisions. The empirical analysis suggests that General Foods charged higher prices for its regular-grind Maxwell House coffee in geographic areas where the brand's market share was relatively large. Available cross-sectional, time-series data and company documents suggest that this empirical relationship is attributable to the preference grocery retailers have for putting dominant coffee brands on special, rather than cross-sectional variations in costs, market concentration, or consumer tastes. Copyright 1992 by MIT Press.

Suggested Citation

  • Nelson, Philip & Siegfried, John J & Howell, John, 1992. "A Simultaneous Equations Model of Coffee Brand Pricing and Advertising," The Review of Economics and Statistics, MIT Press, vol. 74(1), pages 54-63, February.
  • Handle: RePEc:tpr:restat:v:74:y:1992:i:1:p:54-63

    Download full text from publisher

    File URL:
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See for details.

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

    References listed on IDEAS

    1. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    2. John C. Cox & Jonathan E. Ingersoll Jr. & Stephen A. Ross, 2005. "A Theory Of The Term Structure Of Interest Rates," World Scientific Book Chapters,in: Theory Of Valuation, chapter 5, pages 129-164 World Scientific Publishing Co. Pte. Ltd..
    3. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    5. Campbell, John Y & Shiller, Robert J, 1987. "Cointegration and Tests of Present Value Models," Journal of Political Economy, University of Chicago Press, vol. 95(5), pages 1062-1088, October.
    6. Hardouvelis, Gikas A, 1988. " The Predictive Power of the Term Structure during Recent Monetary Regimes," Journal of Finance, American Finance Association, vol. 43(2), pages 339-356, June.
    7. White, Kenneth J, 1978. "A General Computer Program for Econometric Methods-Shazam," Econometrica, Econometric Society, vol. 46(1), pages 239-240, January.
    8. Anderson, H.M. & Granger, C.W.G. & Hall, A.D., 1990. "Treasury Bi;; Yield Curves And Cointegration," Papers 215, Australian National University - Department of Economics.
    9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    10. Stambaugh, Robert F., 1988. "The information in forward rates : Implications for models of the term structure," Journal of Financial Economics, Elsevier, vol. 21(1), pages 41-70, May.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Ronald W. Cotterill, 1999. "Market power and the Demsetz quality critique: An evaluation for food retailing," Agribusiness, John Wiley & Sons, Ltd., vol. 15(1), pages 101-118.
    2. Robert DeYoung & Evren Örs, 2004. "Advertising and pricing at multiple-output firms: evidence from U.S. thrift institutions," Working Paper Series WP-04-25, Federal Reserve Bank of Chicago.
    3. Feuerstein, Switgard, 2002. "Do coffee roasters benefit from high prices of green coffee?," International Journal of Industrial Organization, Elsevier, vol. 20(1), pages 89-118, January.
    4. Haller, Lawrence E. & Cotterill, Ronald W., 1996. "Evaluating Traditional Share-Price and Residual Demand Measures of Market Power in the Catsup Industry," Research Reports 25193, University of Connecticut, Food Marketing Policy Center.
    5. Judith A. Chevalier & Anil K. Kashyap & Peter E. Rossi, 2003. "Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data," American Economic Review, American Economic Association, vol. 93(1), pages 15-37, March.
    6. Requena-Silvente, Francisco & Walker, James, 2007. "Investigating sales and advertising rivalry in the UK multipurpose vehicle market (1995-2002)," Journal of Economics and Business, Elsevier, vol. 59(2), pages 163-180.
    7. Paulo Albuquerque & Bart J. Bronnenberg, 2009. "Estimating Demand Heterogeneity Using Aggregated Data: An Application to the Frozen Pizza Category," Marketing Science, INFORMS, vol. 28(2), pages 356-372, 03-04.
    8. Peter Scott & James Walker, 2010. "Sales and Advertising Rivalry in Interwar US Department Stores," Economics & Management Discussion Papers em-dp2009-05, Henley Business School, Reading University.
    9. Declerck, Francis, 2005. "Typology and Financial Performance of Champagne Makers According to Distribution Channel," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association (IFAMA), vol. 8(04).
    10. Zheng, Yuqing & Kaiser, Harry M., 2008. "Advertising and U. S. Nonalcoholic Beverage Demand," Agricultural and Resource Economics Review, Cambridge University Press, vol. 37(02), pages 147-159, October.

    More about this item


    Access and download statistics


    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:tpr:restat:v:74:y:1992:i:1:p:54-63. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kristin Waites). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.