The authors develop a survey approach to determine cross-price elasticities and switching matrices for brands in a prespecified product class. The survey determines for each household whether to elicit multiple subhousehold preference structures to account for differing user/usage situations within the household. The preference structures (brand preferences and price-preference tradeoffs) obtained are used to specify preference functions and estimate choice probabilities. The choice probabilities depend on brand prices and form the basis for obtaining market-level cross-price elasticities and switching matrices by aggregation. The survey-based results are found to be predictive of the actual purchase behavior of 2000 IRI scanner panel households residing in the same area as, but not included in, the survey sample.
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References
1.
AllenbyGreg M. (1989), “A Unified Approach to Identifying, Estimating and Testing Demand Structures With Aggregate Scanner Data,”Marketing Science, 8(Summer), 265–80.
2.
CarpenterGreg S., CooperLee G., HanssensDominique M., and MidgleyDavid F. (1988), “Modeling Asymmetric Competition,”Marketing Science, 1(Fall), 393–412.
3.
CooperLee G. (1988), “Competitive Maps: The Structure Underlying Asymmetric Cross Elasticities,”Management Science, 34(June), 707–23.
4.
DayGeorge S., ShockerAllan D., and SrivastavaRajendra K. (1979), “Customer-Oriented Approaches to Identifying Product Markets,”Journal of Marketing, 43(Fall), 8–19.
5.
EhrenbergAndrew S. C. (1959), “The Pattern of Consumer Purchases,”Applied Statistics, 8(March), 26–41.
6.
ElrodTerry (1988), “Choice Map: Inferring a Product-Market Map From Panel Data,”Marketing Science, 1(Winter), 21–40.
7.
FraserCynthia, and BradfordJohn W. (1983), “Competitive Market Structure Analysis: Principal Partitioning of Revealed Substitutabilities,”Journal of Consumer Research, 10(June), 15–30.
8.
GreenPaul E., and SrinivasanV. (1978), “Conjoint Analysis in Consumer Research: Issues and Outlook,”Journal of Consumer Research, 5(September) 103–23.
9.
GroverRajiv, and DillonWilliam R. (1985), “A Probabilistic Model for Testing Hypothesized Hierarchical Market Structures,”Marketing Science, 4(Fall), 312–35.
10.
GroverRajiv, and SrinivasanV. (1987), “A Simultaneous Approach to Market Segmentation and Market Structuring,”Journal of Marketing Research, 24(May), 139–53.
11.
GuptaSunil (1988), “Impact of Sales Promotions on When, What, and How Much to Buy,”Journal of Marketing Research, 25(November), 342–56.
12.
KamakuraWagner A., and RussellGary J. (1989), “A Probabilistic Choice Model for Market Segmentation and Elasticity Structure,”Journal of Marketing Research, 26(November), 379–91.
13.
KamakuraWagner A., and SrivastavaRajendra K. (1984), “Predicting Choice Shares Under Conditions of Brand Interdependence,”Journal of Marketing Research, 21(November), 420–34.
14.
LaurentGilles (1978), “A Study of Multiple Variant Consumption for Frequently Purchased Consumer Products,” unpublished PhD thesis, Alfred P. Sloan School of Management, MIT.
15.
RaoVithala R., and SabavalaDarius J. (1981), “Inference of Hierarchical Choice Processes From Panel Data,”Journal of Consumer Research, 8(June), 85–96.
16.
SrinivasanV. (1979), “Network Models for Estimating Brand-Specific Effects in Multiattribute Marketing Models,”Management Science, 25(January), 11–21.
17.
SrinivasanV. (1988), “A Conjunctive-Compensatory Approach to the Self-Explication of Multiattributed Preferences,”Decision Sciences, 19(Spring), 295–305.
18.
SrinivasanV., and WynerGordon A. (1989), “CASEMAP: Computer-Assisted Self-Explication of Multi-Attributed Preferences,” in New-Product Development and Testing, HenryWalter, and MenascoMichael, and TakadaHirokazu, eds. Lexington, MA: Lexington Books, 91–111.
19.
SrivastavaRajendra K., AlpertMark I., and ShockerAllan D. (1984), “A Customer-Oriented Approach for Determining Market Structures,”Journal of Marketing, 48(Spring), 32–45.
20.
StefflreVolney J. (1972), “Some Applications of Multidimensional Scaling to Social Science Problems,” in Multidimensional Scaling: Theory and Applications in the Behavioral Sciences, Vol. II, Applications, Kimball RomneyA., ShepardRoger N., and NerloveSara Beth, eds. New York: Seminar Press, 211–43.
21.
UrbanGlen L., JohnsonPhilip L., and HauserJohn R. (1984), “Testing Competitive Market Structures,”Marketing Science, 3(Spring), 83–112.
