Most studies of optimal monetary policy under learning rely on optimality conditions derived for the case when agents have rational expectations. In this paper, we derive optimal monetary policy in an economy where the Central Bank knows, and makes active use of, the learning algorithm agents...

Under the assumption of bounded rationality, economic agents learn from their past mistaken predictions by combining new and old information to form new beliefs. The purpose of this paper is to examine how the policy-maker, by affecting private agents' learning process, determines the speed at...

In a model of incomplete, heterogeneous information, with externalities and strategic interactions, we analyze the possibility for learning to act as coordination device. We build on the framework proposed by Angeletos and Pavan (2007) and extend it to a dynamic multiperiod setting where agents...

Using a closed economy model with a flexible-price good and a sticky-price good we study the conditions under which interest rate rules induce real determinacy and, more importantly, the MSV solution is learnable in the E-stability sense proposed by Evans and Honkapohja (2001). We show that...

In a dynamic asset pricing model informed traders receive a noisy signal of the value of a risky asset while uninformed traders learn to extract the information from the price. The relative popularity of the two strategies depends on past performance. An "intensity of choice" parameter is...

Using data from a randomized experiment in rural China, this paper studies the influence of social networks on weather insurance adoption and the mechanisms through which social networks operate. To quantify network effects, the experiment offers intensive information sessions about the...

In this paper we investigate how cognitive ability influences behavior, success and the evolution of play towards Nash equilibrium in repeated strategic interactions. We study behavior in a p-beauty contest experiment and find striking differences according to cognitive ability: more cognitively...

I introduce a method to transform a T-map when agents form expectations using a misspecified learning mechanism inconsistent with a structural equation of a multivariate economic model. By transforming the perceived law of motion (PLM) into a the form of a Seemingly Unrelated Regression (SUR)...

In the last half of the 1990s, labor productivity growth rose in the U.S. and fell almost everywhere in Europe. We document changes in both capital deepening and multifactor productivity (MFP) growth in both the information and communication technology (ICT) and non-ICT sectors. We view MFP...

In this paper it is argued that whether cooperation is established in a prisoner's dilemma-like situation is determined by cognitive learning processes. To prove this claim a simulation model is build. This model is based on knowledge about the cognitive learning process that has been gained in...