In time series analysis, whether to use a multiplicative model or an additive model depends on the characteristics of the underlying data. Here are some considerations that might make the multiplicative model more appropriate:

In contrast, an additive model is more appropriate when the seasonal variations and other components are consistent in magnitude regardless of the level of the series. The choice between a multiplicative and additive model is not always clear-cut, and sometimes experimentation with both models is necessary to determine which one provides a better fit to the data. Additionally, the nature of the data and the specific characteristics of the time series should guide the choice of the appropriate model.

Dear Dr Christopher Muhambuwa , if you use multiplicative model, you may logarithm it to move to the additive model. The reverse is not true.

Ok thanks