Abstract

Several sales models for a consumer’s goods manufacturer firm are developed and tested. A panel data 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 understand sales across relatively heterogeneous markets, by comparing the fixed effects model, the IV model, and the dynamic panel data model. We also use a simultaneous equation framework to investigate further relations among the variables. The main conclusion is that price and trade investment are the main determinants explaining sales in this sector.

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