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Competitive Response and Equilibria

Author

Listed:
  • Rajiv Lal

    (Stanford University)

  • V. Padmanabhan

    (Stanford University)

Abstract

This paper investigates the relationship between market share and promotional expenditures the long run. Using data that span a decade and 91 product categories we find that market shares are stationary for a majority of the products in the data base. We find that relative promotional expenditures for the products are offsetting in the long run. Finally, for products whose market shares show a trend, it is difficult to discern the impact of relative promotional expenditure on the evolution of market share. This result generalizes the empirical finding of Bass et al. (Bass, F. M., M. M. Givon, M. U. Kalwani, D. Reibstein, G. P. Wright. 1984. An investigation into the order of the brand choice process. (4) 267–287.) that “... offsetting competitive activity plays a role in the maintenance of what appears to be stationary and zero order behavior.”

Suggested Citation

  • Rajiv Lal & V. Padmanabhan, 1995. "Competitive Response and Equilibria," Marketing Science, INFORMS, vol. 14(3_supplem), pages 101-108.
    • Handle: RePEc:inm:ormksc:v:14:y:1995:i:3_supplement:p:g101-g108
    DOI: 10.1287/mksc.14.3.G101
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    Cited by:

    1. Deleersnyder, B. & Dekimpe, M.G. & Sarvary, M. & Parker, P.M., 2003. "Weathering Tight Economic Times: The Sales Evolution Of Consumer Durables Over The Business Cycle," ERIM Report Series Research in Management ERS-2003-046-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. G. Dekimpe, Marnik & Hanssens, Dominique M. & Silva-Risso, Jorge M., 1998. "Long-run effects of price promotions in scanner markets," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 269-291, November.
    3. Rutger van Oest & Philip Hans Franses, 2003. "Which Brands gain Share from which Brands? Inference from Store-Level Scanner Data," Tinbergen Institute Discussion Papers 03-079/4, Tinbergen Institute.
    4. Sang Yong Kim & Richard Staelin, 1999. "Manufacturer Allowances and Retailer Pass-Through Rates in a Competitive Environment," Marketing Science, INFORMS, vol. 18(1), pages 59-76.
    5. Randolph E. Bucklin & Sunil Gupta, 1999. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives," Marketing Science, INFORMS, vol. 18(3), pages 247-273.
    6. Debanjan Mitra & Peter N. Golder, 2006. "How Does Objective Quality Affect Perceived Quality? Short-Term Effects, Long-Term Effects, and Asymmetries," Marketing Science, INFORMS, vol. 25(3), pages 230-247, 05-06.
    7. Varman, Rohit & Costa, Janeen Arnold, 2009. "Competitive and Cooperative Behavior in Embedded Markets: Developing an Institutional Perspective on Bazaars," Journal of Retailing, Elsevier, vol. 85(4), pages 453-467.
    8. Horváth, C. & Franses, Ph.H.B.F., 2003. "Deriving dynamic marketing effectiveness from econometric time series models," ERIM Report Series Research in Management ERS-2003-079-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Rutger Oest, 2005. "Which Brands Gain Share from Which Brands? Inference from Store-Level Scanner Data," Quantitative Marketing and Economics (QME), Springer, vol. 3(3), pages 281-304, September.
    10. Jinhong Xie & Steven M. Shugan, 2001. "Electronic Tickets, Smart Cards, and Online Prepayments: When and How to Advance Sell," Marketing Science, INFORMS, vol. 20(3), pages 219-243, June.
    11. Kumar, V. & Pereira, Arun, 1997. "Assessing the Competitive Impact of Type, Timing, Frequency, and Magnitude of Retail Promotions," Journal of Business Research, Elsevier, vol. 40(1), pages 1-13, September.

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