Machine Learning, Causal Inference, Data Science, Deep Dives, Notes From Industry.
this definition is convenient because it means the parameter to be estimated, θ, remains approximately constant as p changes. With a valid estimate of θ, the retailer can now reason counterfactually about their prices: “if I were to increase my product’s price by 5%, I could expect to sell 5θ% more