This paper sheds new light on the role of communication for cartel formation. Using machine learning to evaluate free …

We develop a model of firm learning in volatile markets with noisy signals and test its predictions using historical … German data. Firms' forecasts improve with age. We exploit German Reunification as a natural experiment where firms in the … improvements from learning are faster where market signals are noisier. …

moments using longitudinal data from the Avon Longitudinal Study of Parents and Children. The results indicate that …

the nature of the task at the second date further shows that learning is unencumbered by a change in environment. Our …

books, with the use of techniques and algorithms from machine learning. We focus on a specific scientific breakthrough, the … factors jointly can offer new insights to the study of the determinants of economic development, and machine learning is a …

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 …

We report two information cascade game experiments that directly test the impact of altruism on observational learning … opportunities to learn about the strategies played by observed which amplifies the impact of altruism on observational learning. …

The adaptive learning approach has been fruitfully employed to model the formation of aggregate expectations at the … macroeconomic level, as an alternative to rational expectations. This paper uses adaptive learning to understand, instead, the … their heterogeneity. We exploit survey data on output and inflation expectations by individual professional forecasters. We …