A Model of Brand Choice and Purchase Quantity Price Sensitivities

Many consumer decisions involve a discrete choice and a continuous outcome. Examples of such decisions are whether to own a home or rent one and how much to spend, which brand of orange juice to buy and how many ounces to buy. In cases like these, the choice decision is typically modeled separately, say, using a logit model and the continuous outcomes modeled separately using regression analysis. However, the continuous outcomes may not be independent of the discrete choice and vice versa, and modeling the two decisions independently can lead to inefficient choice parameter estimates and biased and inconsistent regression parameter estimates. In this paper, we present a methodology from the limited-dependent variable literature to model the dependence between the choice and quantity decisions. Our substantive interest is in the role of price in the choice and quantity decisions. When choosing among alternatives, we argue that consumers consider prices of all the competitive brands. In the quantity decision on the other hand, only the price of the chosen alternative is expected to impact how much of the alternative is purchased. The analysis of three brands, using disaggregate level panel data, strongly supports our hypothesis about the role of competitive prices in the choice and quantity decisions.

[1]  Lakshman Krishnamurthi,et al.  The Effect of Advertising on Consumer Price Sensitivity , 1985 .

[2]  J. Quelch,et al.  Consumer Promotions and the Acceleration of Product Purchases , 1985 .

[3]  Hubert Gatignon,et al.  Optimal Product Line Pricing: The Influence of Elasticities and Cross-Elasticities , 1984 .

[4]  W. Hanemann Discrete-Continuous Models of Consumer Demand , 1984 .

[5]  Jeffrey A. Dubin,et al.  An Econometric Analysis of Residential Electric Appliance Holdings and Consumption , 1984 .

[6]  P. Schmidt,et al.  Limited-Dependent and Qualitative Variables in Econometrics. , 1984 .

[7]  Lung-fei Lee Some Approaches to the Correction of Selectivity Bias , 1982 .

[8]  Imran S. Currim,et al.  Using Segmentation Approaches for Better Prediction and Understanding from Consumer Mode Choice Models , 1981 .

[9]  Hermann Simon,et al.  Dynamics of Price Elasticity and Brand Life Cycles: An Empirical Study , 1979 .

[10]  J. Heckman Sample selection bias as a specification error , 1979 .

[11]  Lung-fei Lee,et al.  Estimation of some limited dependent variable models with application to housing demand , 1978 .

[12]  Richard Staelin,et al.  The Choice Process for Graduate Business Schools , 1978 .

[13]  M. K. Starr,et al.  A Loyalty Group Segmentation Model for Brand Purchasing Simulation , 1978 .

[14]  Dick R. Wittink,et al.  Exploring Territorial Differences in the Relationship between Marketing Variables , 1977 .

[15]  M. Degroot,et al.  Probability and Statistics , 1977 .

[16]  John M. McCann,et al.  Market Segment Response to the Marketing Decision Variables , 1974 .

[17]  A. Wildt,et al.  Multifirm Analysis of Competitive Decision Variables , 1974 .