Machine Learning, Causal Inference, Programming, Data Science.
change? Traditionally, people use the Average Treatment Effect (ATE= E(Y=1)-E(Y=0)) to measure the difference in the randomized treatment and control groups. For example, the causal effect of interest is the impact of ride price change (lowering price) in people using Uber: On average, how many