Amano, Tomomichi; Rhodes, Andrew; Seiler, Stephan - 2018 - This draft: May 16, 2018
Traditional methods for estimating demand are not always well-suited to online markets, where individual products are sold infrequently, unobserved factors such as webpage layout drive substitution, and often only a limited set of product characteristics is observed. We propose a demand model...