Multiple Discreteness and Product Differentiation: Demand for Carbonated Soft Drinks
- 1 February 2004
- journal article
- Published by Institute for Operations Research and the Management Sciences (INFORMS) in Marketing Science
- Vol. 23 (1) , 66-81
- https://doi.org/10.1287/mksc.1030.0041
Abstract
For several of the largest supermarket product categories, such as carbonated soft drinks, canned soups, ready-to-eat cereals, and cookies, consumers regularly purchase assortments of products. Within the category, consumers often purchase multiple products and multiple units of each alternative selected on a given trip. This multiple discreteness violates the single-unit purchase assumption of multinomial logit and probit models. The misspecification of such demand models in categories exhibiting multiple discreteness would produce incorrect measures of consumer response to marketing mix variables. In studying product strategy, these models would lead to misleading managerial conclusions. We use an alternative microeconomic model of demand for categories that exhibit the multiple discreteness problem. Recognizing the separation between the time of purchase and the time of consumption, we model consumers purchasing bundles of goods in anticipation of a stream of consumption occasions before the next trip. We apply the model to a panel of household purchases for carbonated soft drinks.multiple discreteness, structural modeling, customer behavior, brand choiceKeywords
This publication has 36 references indexed in Scilit:
- Panel data analysis of household brand choicesJournal of Econometrics, 2001
- GMM estimation with cross sectional dependenceJournal of Econometrics, 1999
- Estimating price expectations in the OTC medicine market: An application of dynamic stochastic discrete choice models to scanner panel dataJournal of Econometrics, 1998
- Modeling Heterogeneity and State Dependence in Consumer Choice BehaviorJournal of Business & Economic Statistics, 1997
- Modeling Consumers' Choices of Multiple ItemsJournal of Marketing Research, 1995
- An exact likelihood analysis of the multinomial probit modelJournal of Econometrics, 1994
- A Bayesian Approach to Estimating Household ParametersJournal of Marketing Research, 1993
- Non-Nested Tests for Competing Models Estimated by Generalized Method of MomentsEconometrica, 1992
- An Evaluation Cost Model of Consideration SetsJournal of Consumer Research, 1990
- A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical IntegrationEconometrica, 1989