macroeconomic theory course. Students work in teams of "economic advisors" to write a series of nested reports for a decision … consulting with an emphasis on applying economic theory and models. We describe the project setup and how to tailor its theme to … current events, explain methods for keeping it manageable in larger classes, discuss student learning outcomes, and document …

effect of such vicarious learning as an indirect control depends on the inferences employees make after observing a peer …

This paper uses deep learning to value derivatives. The approach is broadly applicable, and we use a call option on a … basket of stocks as an example. We show that the deep learning model is accurate and very fast, capable of producing …

Retailers may face uncertainty about the profitability of local markets, which provide opportunities for learning when … retail entry with uncertainty and learning (from others). Using novel data about fast food chains, I estimate the model with … firm beliefs about market profitability. The estimates confirm the presence of uncertainty and learning. Most importantly …

. In this paper we temporally extend structure learning in Gaussian Graphical Models to facilitate knowledge discovery in …

information about his valuation of a product. The seller designs the mechanism to affect the buyer’s benefit from learning and … thereby controls the learning process. Our main result shows that it is always sub-optimal to induce partial learning, and the … optimal mechanism either encourages full learning or deters learning. Specifically, the seller optimally encourages full …