multi-period forecasting model that is estimated under both adaptive learning and rational expectations. Term structure … neglected in the adaptive learning literature. Relative to the rational expectations version, our estimated DSGE model under … adaptive learning largely improves the model fit to the data, which include not just macroeconomic data but also the yield …

Do agents believe to be agreeing more with others in the long-run? This paper designs an experiment to study how … disagreement regardless of cognitive ability. Learning about the state of the world has little effect on the evolution of perceived …

We examine the effectiveness of different learning modes in a process management context. We argue that many … organizations will undergo a transformation from a function to a process orientation and that learning matters in this context, as a … fundamental change in thinking is required. Using a questionnaire experiment with a sample of 147 participants, we found a …

The paper analyzes a dynamic model of rational strategic learning in a network. It complements existing literature by … links. This means that in the design of networks there exists a trade-off between the speed of learning and accuracy. …

The paper analyzes a dynamic model of rational strategic learning in a network. It complements existing literature by … that in the design of networks there exists a trade-off between the speed of learning and accuracy. For an incomplete …

implications for the nature and formation of preferences. We study the tariff experiment conducted by South Central Bell where …

Do agents believe to be agreeing more with others in the long-run? This paper designs an experiment to study how … disagreement regardless of cognitive ability. Learning about the state of the world has little effect on the evolution of perceived …

learning might take place. The current paper extends this previous work. Using an experiment in which subjects play four games … without feedback, the experiment allows a stronger test of "no-feedback learning" as well as a better understanding of the … learning transfers to new games. Current theories of learning model learning as adjustment in behavior in response to feedback …

estimation of the parameters in an auxiliary model. The learning scheme employed by the agents belongs to the class of stochastic …

Purpose – The purpose of this paper is to investigate how universities' learning behavior (explorative or exploitative … revealed that the universities' knowledge mobility is positively affected by both the explorative learning behavior and the … present research provides interesting implications. In fact, recognizing the importance of explorative learning mechanisms …