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Determinants of Temporal Variations in Advertising Effectiveness

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  • Chung, Chanjin
  • Kaiser, Harry M.

Abstract

This article develops a varying-parameter advertising model which specifies advertising parameters as a function of variables representing advertising strategies and market environments to explain the varying nature of the advertising responses. Unlike prior models, this model allows researchers to examine the sources of change in advertising effectiveness over time. The model is applied to the New York City fluid milk market for the period from January 1986 through June 1995. Results indicate that advertising strategies and market environments play important roles in determining advertising effectiveness. Particularly, demographic factors were more important than economic factors. The results also suggest that when a market is in an unfavorable or unsaturated condition, advertising generally becomes more important and effective.

Suggested Citation

  • Chung, Chanjin & Kaiser, Harry M., 1998. "Determinants of Temporal Variations in Advertising Effectiveness," Research Bulletins 122689, Cornell University, Department of Applied Economics and Management.
    • Handle: RePEc:ags:cudarb:122689
    DOI: 10.22004/ag.econ.122689
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    References listed on IDEAS

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    1. John Lenz & Harry M. Kaiser & Chanjin Chung, 1998. "Economic analysis of generic milk advertising impacts on markets in New York State," Agribusiness, John Wiley & Sons, Ltd., vol. 14(1), pages 73-83.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Kinnucan, Henry W., 1986. "Demographic Versus Media Advertising Effects On Milk Demand: The Case Of The New York City Market," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 15(1), pages 1-9, April.
    4. Hendry, David F, 1986. "Econometric Modelling with Cointegrated Variables: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 201-212, August.
    5. H. E. Doran & J. J. Quilkey, 1972. "Harmonic Analysis of Seasonal Data: Some Important Properties," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(4_Part_1), pages 646-651.
    6. Henry W. Kinnucan & Meenakshi Venkateswaran, 1994. "Generic Advertising; and the Structural Heterogeneity Hypothesis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 42(3), pages 381-396, November.
    7. John D. Jackson, 1997. "Effects of Health Information and Generic Advertising on U.S. Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 13-23.
    8. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
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    Cited by:

    1. Maynard, Leigh J., 2000. "Empirical Tests Of The Argument That Consumers Value Stable Retail Milk Prices," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 18(2), pages 1-18.
    2. Chung, Chanjin & Kaiser, Harry M., 2000. "Do Farmers Get An Equal Bang For Their Buck From Generic Advertising Programs? A Theroetical And Empirical Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(1), pages 1-12, July.

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