The sales responses of five competing brands to advertising were investigated, with parameters of the simple market response functions for all brands estimated jointly. The effectiveness of advertising was found to differ significantly among brands. Optimal advertising expenditures implied by the model were determined for each of the brands.
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References
1.
AndersonTheodore W.An Introduction to Multivariate Statistical Analysis.New York: John Wiley & Sons, 1950.
2.
BasmannRobert L. “On the Application of the Identifiability Test Statistic in Predictive Testing of Explanatory Economic Models,” The Indian Economic Journal, 13 (October–December 1965), 387423.
3.
BassFrank M. “A Dynamic Model of Market Share and Sales Behavior,” Proceedings. Winter Conference, American Marketing Association, 1963, 263 76.
4.
BassFrank M. “Application of Regression Models in Marketing: Testing Versus Forecasting,” Institute Paper No. 265, Herman C. Krannert Graduate School of Industrial Administration, Purdue University, December 1969.
5.
BeckwithNeil E. “Competitive Advertising,” Institute Paper No. 225, Herman C. Krannert Graduate School of Industrial Administration, Purdue University, January 1969.
6.
BeckwithNeil E. “The Response of Competing Brands to Advertising: A Multivariate Regression Test,” unpublished doctoral dissertation, Purdue University, June 1970.
7.
BeckwithNeil E. “Analysis of the Response of Competing Brands to Advertising Using Seasonal Models,” unpublished paper, Columbia University, 1971.
8.
BeckwithNeil E. “Measuring the Effect of Advertising Upon the Sales of Several Brands,” Proceedings. Fall Conference, American Marketing Association, 1971.
9.
CooleyR. H. “Practical Advertising Goals for Measuring Advertising Results,” Proceedings. Fall Conference, American Marketing Association, 1963, 231–8.
10.
CooleyWilliam W. and LohnesPaul R.Multivariate Procedures for the Behavioral Sciences.New York: John Wiley & Sons, 1962.
11.
DixonW. J., ed. BMD: Biomedical Computer Programs.Los Angeles: Health Sciences Computing Facility, University of California, 1965.
12.
FitzroyPeter T. “Some Adaptive Models for Sequentially Setting Advertising Budgets,” paper presented at conference of the Operations Research Society of America, November 1968.
13.
GoldbergerArthur S.Econometric Theory.New York: John Wiley & Sons, 1964.
14.
GrilichesZvi. “Distributed Lags: A Survey,” Econometrica, 35 (January 1967), 33–42.
15.
HoggRobert V. and CraigAllen T.Introduction to Mathematical Statistics.New York: Macmillan, 1965.
16.
JastramR. “A Treatment of Distributed Lags in the Theory of Advertising Expenditures,” Journal of Marketing, 20 (July 1955), 36–46.
17.
KendallMaurice G. and StuartAlan. The Advanced Theory of Statistics, Vol. II. New York: Hafner, 1961.
18.
KmentaJan and GilbertRoy F. “Small Sample Properties of Alternative Estimators of Seemingly Unrelated Regressions,” Journal of the American Statistical Association, 63 (December 1968), 1180–200.
19.
KuehnAlfred A. “How Advertising Performance Depends on Other Marketing Factors,” Journal of Advertising Research, 2 (March 1962), 2–10.
20.
LittleJohn D. C. “A Model of Adaptive Control of Promotional Spending,” Operations Research, 14 (November–December 1966), 107597.
21.
MaddalaG. S. “Generalized Least Squares with an Estimated Variance Covariance Matrix,” Econometrica, 39 (January 1971), 23–33.
22.
MartinJ. “Isolation of Lagged Economic Responses,” Journal of Farm Economics, 49 (February 1967), 160–8.
23.
McGuireTimothy W., FarleyJohn U., LucasRobert E.Jr., and RingL. Winston. “Estimation and Inference for Linear Models in Which Subsets of the Dependent Variable are Constrained,” Journal of the American Statistical Association, 63 (December 1968), 1201–13.
QuantRichard E. “Estimating the Effectiveness of Advertising: Some Pitfalls in Econometric Methods,” Journal of Marketing Research, 1 (May 1964), 51–60.
26.
TelserLester G. “Advertising and Cigarettes,” Journal of Political Economy, 70 (October 1968), 471–99.
27.
TheilHenri. Economic Forecasts and Policy.Amsterdam: North-Holland, 1965.
28.
ZellnerArnold. “An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias,” Journal of the American Statistical Association, 57 (June 1962), 348–68.