This paper studies static rational inattention problems with multiple actions and multiple shocks. We solve for the optimal signals chosen by agents and provide tools to interpret information processing. By relaxing restrictive assumptions previously used to gain tractability, we allow agents...

In this study, we investigate behavioral constraints on pricing by using a novel laboratory experiment in which actual consumption goods are traded. We test different models and provide several insights into pricing and reactions to price discrimination. First, we identify the extent to which...

Online platforms provide search tools that help consumers to get betterfitting product offers. But this technology makes consumer search behavior also easily traceable for the platform and allows for real-time price discrimination. Consumers face a trade-off: Search intensely and receive better...

Pay What You Want (PWYW) and Name Your Own Price (NYOP) are customerdriven pricing mechanisms that give customers (some) pricing power. Both have been used in service industries with high fixed capacity costs in order to appeal to additional customers by reducing prices without setting a...

With the advent of big data, unique opportunities arise for data collection and analysis and thus for personalized pricing. We simulate a self-learning algorithm setting personalized prices based on additional information about consumer sensitivities in order to analyze market outcomes for...