Abstract
This study investigates the effects of advertising on cigarette consumption, particularly after 1967. Sources of data include the statistical abstract of the U.S., the Historical Statistics of the U.S., and the Vital Statistics between 1955 and 1979. A multiple regression model was used to analyze the data. Cigarette consumption was considered a dependent variable. Disposable income, death rate due to cancer of the respiratory system/total cancer death, advertising outlays for cigarettes: newspaper and television advertising/total advertising cost, cigarette production (including long and regular sizes), sales outlets, lag variable, average price for cigarettes, and a dummy variable were considered independent variables. Analysis revealed,, on the one hand, a significant negative relationship between cigarette consumption and total cancer death and average prices and, on the other, a significant positive relationship between loyalty and cigarette consumption. Although advertising expenditures were not found to be statistically significant, increased spending on advertising was found to have an increasing effect on cigarette consumption.
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References
R.J. Ball and R. Agarwala, “An Econometric Analysis of the Effects of Generic Advertising on the Demand for Tea in the U.K.”, British Journal of Marketing, 4 (Winter 1969), 202–217.
Frank M. Bass and Lesnard J. Parsons, “A Simultaneous Equation Regression Analysis of Sales and Advertising”, Applied Economics, 1 (May 1969), 103–124.
N.E. Beckwith, “Multivariate Analysis of Sales Response of Competing Brands to Advertising," Journal of Marketing Research, 9 (May 1972), 168–176.
CR. Blattberg and A.P. Jevland, “A Micromodelling Approach to Investigate the Advertising-Sales Relationship, Management Science, 27 (September, 1981), 988– 1005.
D.G. Clarke, “Econometric Measurement of the Duration of Advertising Effect on Sales," Journal of Marketing Research, 13 (February 1976), 345–357.
D.J. Dalrymple and L.J. Parsons, Marketing Management, New York: John Wiley, (1980).
N.L. Enrick, Market and Sales Forecasting,(New York: Robert E. Krieger Publishing, 1979)
I. Ehrlich and L. Fisher, “The Derived Demand for Advertising: A Theoretical and Empirical Investigation”, The American Economic Review, 72 (June 1982), 366–388.
R.E. Frank, and W.F. Massy, An Econometric Approach to a Marketing Decision Model, (Cambridge: MIT Press, 1971).
John D.C. Little, “Aggregate Advertising Model: A State of Art," Operations Research, 27 (July-August 1979), 629–663.
F. Meissner, “Sales and Advertising of Lettuce”, Journal of Advertising Research, 1 (March 1961), 1–10
M. Nerlove, and F.V. Wough, “Advertising Without Supply Control: Some Implications of a Study of the Advertising of Oranges," Journal of Farm Sciences, 43 (October 1961), 813–837.
L.J. Parsons, and R.L. Schultz, Marketing Models and Econometric Research(New York: North Holland,1978).
Y. Peles, “Economics of Scale in Advertising Beer and Cigarettes," Journal of Business, 44 (January 1971), 32–37.
R. Pindyck and D. Rubinfeld, Econometric Models and Economic Forecast, (New York: McGraw-Hill, 1981).
E.H. Schoenberg, “The Demand Curve for Cigarettes," Journal of Business. 6 (January 1933), 15–35.
R. Schmalensee,"The Economics of Advertising,(New York: North-Holland, 1972).
D.E. Sexton, Jr., “Estimation of Marketing Policy Effects on Sales”, Journal of Marketing Research, 7 (August 1970), 338–47.
D.E. Sexton, Jr., “A Microeconomic Model of the Effect of Advertising”, Journal of Business, 45 (January 1972), 29–41.
J.L. Simon and J. Arndt, “The Shape of the Advertising Response Function," Journal of Advertising Research, 20 (August 1980), 11–27.
Hu Teh-wei, Econometrics: An Introductory Analysis, Baltimore: University Park Press, (1973).
A.R. Wildt, “Multifirm Analysis of Competitive Decision Variables," Journal of Marketing Research, (February 1974), 50–62.
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Yucelt, U., Kaynak, E. (2015). A Study Measuring the Influence of Advertising on Cigarette Consumption: Estimation with OLS Model. In: Rogers III, J., Lamb, Jr., C. (eds) Proceedings of the 1983 Academy of Marketing Science (AMS) Annual Conference. Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham. https://doi.org/10.1007/978-3-319-16937-8_128
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DOI: https://doi.org/10.1007/978-3-319-16937-8_128
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