This paper considers a model of observational learning in social networks. Every period, the agents observe the actions …

human classification learning (Shepard et al., 1961). This allows us to evaluate the efficacy of CBDT as an account of human … Theory) correctly predicts the empirically observed relative difficulty of problems and speed of learning in human data. (2 …

different cognitive abilities learn differently, we estimate a structural model of learning based on level-k reasoning. We find …

Cycle models. To our knowledge this thesis is the first attempt to formally introduce adaptive learning and expectation … various econometric adaptive learning tools: Auto ARIMA, VAR and AR(2) models. In all simulations, output and other economic … obtained in simulations with Auto ARIMA models, while the VAR learning tool leads to diverging fluctuations in the majority of …

news), whether learning performance is better or worse when people are actively investing in a security or passively … observing the security’s payoffs, and whether there are personal characteristics that correlate with learning performance. The …. Within individual, learning from gains versus losses, or during active versus passive involvement, are not perfectly …

possibility for learning to act as coordination device. We build on the framework proposed by Angeletos and Pavan (2007) and … adaptive and eductive learning obtain, and show that adaptive learning conditions are less demanding than the eductive ones: in … in the economy. We also show that adaptive learning dynamics converge to the game theoretical strategic equilibrium …