Machine Learning, Causal Inference, Data Science, Time Series Analysis, Statistics.
pool (in grey). Revenue numbers were standardized to account for different volumes. The placements all clearly share a similar seasonality (see the plot above), although they do not have to move strictly in parallel — this would only be a requirement for the Difference in Differences (DiD) method,