Different theories of expectation formation and learning usually yield different outcomes for realized market prices in … dynamic models. The purpose of this paper is to investigate expectation formation and learning in a controlled experimental …

well-established self-learning algorithm) learns to profitably coordinate on either a fixed price or on asymmetric price …A novel debate within competition policy and regulation circles is whether autonomous machine learning algorithms may … learn to collude on prices. We show that when fims face short-run price commitments, independent Q-learning (a simple but …

We study social learning in a social network setting where agents receive independent noisy signals about the truth …

, Simpson, and Gelman(2018), to a setting where dynamic learning occurs about features of predictive densities of possibly … misspecified models. This improves the averaging process of good and bad model forecasts. We summarise how this learning is done in … connection with machine learning. We illustrate our suggestion using results from Ba̧stürk, Borowska, Grassi, Hoogerheide, and …

firms survive and others do not than does neoclassical economics. At the heart of the evolutionary theory isthe view that …