The Bass (1969) diffusion theory often guides the construction of forecasting models for new product diffusion. To match the model with data, one needs to put forward a statistical model. This paper compares four empirical versions of the model, where two of these explicitly incorporate...

We propose a new empirical representation of the Bass diffusion model, in order to estimate thethree key parameters, concerning innovation, imitation and maturity. The representation isbased on the notion that the observed data may temporarily deviate from the mean pathdetermined by the...

Although high frequency diffusion data is nowadays available, common practice is still to only use yearly figures in order to get rid of seasonality. This paper proposes a diffusion model that captures seasonality in a way that naturally matches the overall S-shaped pattern. The model is based...