Machine Learning, Causal Inference, Data Science, Time Series Analysis, Statistics.
understanding a causal effect rather than correlations. Part of the reason is that causal effects are more robust because they do not suffer as much from model drift, and they are a great tool for supporting data-driven decisions. This article is about one such method, called the synthetic control