Traditional macroeconomic learning algorithms are misspecified when all agents are learning simultaneously. In this … paper, we produce a number of learning algorithms that do not share this failing, and show that this enables them to learn … almost any solution, for any parameters, implying learning cannot be used for equilibrium selection. As a by-product, we are …

creating the attention-shift. Double Machine Learning approach is then used to obtain statistical inferences of these empirical … findings. Finally, I show these stylized facts can be generated by a model with rational inattention, in which information …

The paper investigates social-learning when the information structure is not commonly known. Individuals repeatedly … interact in social-learning settings with distinct information structures. In each round of interaction, they use their … behavior in the long-run if and only if individuals distinguish social-learning settings and receive rich feedback after each …

Crowd-sourced recommender platforms organize social learning about products by recommending items based on information … on 1) the substitutability between platforms 2) consumer knowledge about their place in time 3) initial information held … study how market structure affects experimentation, social learning, and welfare. I present a model of competing platforms …

learning, choosing among a set of alternative forecasting models. The analysis is accompanied by empirical evidence on the …

linkage established by Bayesian learning, in an attempt to improve both asset pricing approaches in producing a better … and dividend flows through their growth and volatility's dependence on the state.Realistically, information about the … Bayesian learning to form and update beliefs about the conditional state arrival in order to make optimal long-run consumption …

This paper introduces a model of boundedly rational observational learning, which is rationally founded and applicable … information of its respective observed agent. We analyze the theoretical long run implications of Quasi-Bayesian updating in a … and information aggregation is achieved and establish that for any environment information aggregation fails in large …

online review mechanism drives the spread of information in a competitive market and to provide conditions under which …

A Bayesian agent evaluates a stream of information over a finite period before deciding on which of two alternatives to … adopt. At any point, the agent is free to convert information into an informative, binary signal. When information arrives … Bayesian context, sequential information is interpreted differently from identical, simultaneous information …

I experimentally investigate observational (social) learning in the simple two-armed bandit framework where the models … the choices that contain no information about the state of the world, follow the coinciding choices of others (though it …, but not in a random way. In addition, the Quantal Response Equilibrium is tested and the robustness of the theory …