We study how organizational boundaries affect pricing decisions using comprehensive data from a large U.S. airline. We document that the firm's advanced pricing algorithm, utilizing inputs from different organizational teams, is subject to multiple biases. To quantify the impacts of these...

We propose an approach to modeling and estimating discrete choice demand that allows for a large number of zero sale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers then solves...

As countries transition from facing COVID-19 vaccine supply shortfalls to requiring novel strategies to facilitate vaccination, modern retail chains--often designed and located to target particular demographic groups--are a potential vaccine delivery vehicle. Using geospatial data, we quantify...