Partial carryover of advertising
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A model that combines advertising carryover with purchase reinforcement is presented. It accommodates the possibility that certain members of the consumer population rely only on their experience with the product, while others are also affected by past advertising. Empirical results with two product categories indicate that for bimonthly data advertising retention does not exist at all.
Key wordsAdvertising Carryover Purchase Reinforcement
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- Bass, F. M., and D. G. Clarke. (1972). “Testing Distributed Lag Models of Advertising Effect,”Journal of Marketing Research 9 (August), 298–308.Google Scholar
- Deighton, J., C. M. Henderson, and S. A. Neslin. (1990). “Using Single Source Data to Measure the Effects of Advertising on Brand Switching and Brand Loyalty,” Working Paper, Dartmouth College.Google Scholar
- Erickson, G. M. (1981). “Using Ridge Regression to Estimate Directly Lagged Effects in Marketing,”Journal of the American Statistical Association 76, 766–773.Google Scholar
- Givon, M., and D. Horsky. (1990). “Untangling the Effects of Purchase Reinforcement and Advertising Carryover,”Marketing Science 9 (Spring), 171–187.Google Scholar
- Hanssens, D. M., L. J. Parsons, and R. L. Schultz. (1990).Marketing Response Models: Econometric and Times Series Analysis. Boston: Kluwer.Google Scholar
- Klein, L. R. (1974).A Textbook of Econometrics. Englewood Cliffs, N.J.: Prentice-Hall.Google Scholar
- Koyck, L. M. (1954).Distributed Lags and Investment Analysis. Amsterdam: North-Holland Publishing Company.Google Scholar
- Nelson, P. (1974). “Advertising as Information,”Journal of Political Economy 82 (July/August), 729–754.Google Scholar
- Palda, K. S. (1964).The Measurement of Cumulative Advertising Effects. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
- Vanhonacker, W. R. (1991). “Testing the Kyock Scheme of Sales Response to Advertising: An Aggregation-Independent Autocorrelation Test,”Marketing Letters 2:4, 379–392.Google Scholar