Controlling for Confounding Effect when Predicting Time Series



Situation: I have a timer series data from a survey conducted each month. Analysis has shown that the dependent variable is affected by changes in regard to a specific market characteristic. For example, a declining proportion of the market have access to the product.

Question: Is it possible to predict what the actual dependent would have been if the confounding characteristic remained unchanged over time?