We study the problem of learning shared structure across a sequence of dynamic pricing experiments for related products. We consider a practical formulation where the unknown demand parameters for each product come from an unknown distribution (prior) that is shared across products. We then...

Experimentation has become an increasingly prevalent tool for guiding decision-making and policy choices. A common hurdle in designing experiments is the lack of statistical power. In this paper, we study the optimal multi-period experimental design under the constraint that the treatment cannot...

In a large online market, buyers were given the opportunity to signal their relative preferences over price and quality—first experimentally, then later as the default experience in the market. The possibility of signaling caused substantial sorting by sellers to buyers of the right...