Abstract
Several sales models for a consumer’s goods manufacturer firm are developed and tested. A data panel approach is used to model aggregate sales across three countries, using mainly price and trade investment. We show how useful can be different panel data models to forecast sales across relatively heterogeneous markets, and how they compare, developing a fixed effects model, an IV model, and a dynamic panel data model. We also use a simultaneous equation framework to investigate further relations among the variables. The meaning, significance and impact, as well as the limitations of the chosen explanatory variables on modeling sales is discussed.
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