In this paper, an empirical investigation into parameter variation in diffusion models is conducted. Specifically, parameter estimates for two consumer durable products are obtained for time‐invariant, flexible‐form and stochastic‐parameter specifications. Existing diffusion models considered in the empirical analysis include the Bass (1969), Easingwood, Mahajan and Muller (1983), Kamakura and Balasubramanian (1987) and Horsky (1990) diffusion models. In addition, a new model is developed that can be estimated with varying parameter structures, and which includes marketing‐mix variables and replacement sales. In the empirical analysis, three estimation procedures are employed: non‐linear least squares, a stationary stochastic procedure (Harvey and Phillips' 1982 ‘Return to Normality’ model using the Kalman filter), and a non‐stationary stochastic specification (Cooley and Prescott, 1973, 1976). The results suggest that stochastic parameter specifications can be easily used to produce substantially better fits and that the improvement can be dramatic. Stochastic parameter specifications are especially useful in the case of weak priors on the likely pattern of variation. Since some degree of parameter variation is often likely to exist, specifying the exact form of the variation is important, albeit difficult. Stochastic parameter specifications can be very helpful in this regard. In addition, tracing the parameter path over time can assist in detecting how current period parameter estimates deviate from the average over this life of the sample. © 1998 John Wiley & Sons, Ltd.
Packaged goods companies now "spend" more on promotions -special offers, instore displays and the like -than on media advertising. Until recently, it was generally believed that while promotions benefit individual brands, they usually do not result in an increase in overall category sales. Recent research, however, suggests that promotions can increase total category sales in a wide range of circumstances. This article starts by discussing the relationship between brand promotion and category sales, outlines research to date, and then describes the author's own most recent research on this topic. It concludes by pointing to implications for managers.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.