Market share attraction models are useful tools for analyzing competitive structures. The models can be used to infer cross-effects of marketing-mix variables, but also the own effects can be adequately estimated while conditioning on competitive reactions. Important features of attraction models are that they incorporate that market shares sum to unity and that the market shares of individual brands ake in between 0 and 1. Next to analyzing competitive structures, attraction models are also often considered for forecasting market shares.

The econometric analysis of the market share attraction model has not received much attention. Topics as specification, diagnostics, estimation and forecasting have not been thoroughly discussed in the academic marketing literature. In this chapter we go through a range of these topics, and, along the lines, we indicate that there are ample opportunities to improve upon present-day practice. We also discuss an alternative approach to the log-centering method of linearizing the attraction model. This approach leads to easier inference and interpretation of the model.

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