The Value of Information in Resource-Constrained Pricing
The research explores how firms should set prices dynamically when managing limited resources and facing uncertain demand forecasts. It combines certified forecasts with biased models to reduce learning costs and stabilize pricing near capacity limits, proving that high-quality forecasts can lead to much lower regret than relying on standard methods.