however, behavior becomes at odds with both subgame perfection and fairness. Evidence of learning is detected for both … proposers and receivers in the estimation of a structural reinforcement learning model. The estimation results suggest that …

games learning fails to converge to any equilibrium, either in terms of marginal frequencies or of average play. Subjects … equilibrium of one game is predicted to be stable under learning, the other unstable, provided payoffs are sufficiently high. We …

bargaining outcomes. It develops and tests Kuhn and Gu (1999) s model of learning in sequential wage negotiations, by means of …

, job rank assignments based on comparative advantage and learning about workers' abilities, is implemented empirically to … direct evidence of learning about workers' unobserved abilities but the analysis reveals that unmeasured ability is an …

In this paper, we set the basis for learning a multitype assets portfolio management technique relying on no … learning criterion, the Sharpe ratio. Dans cet article, nous jetons les bases pour l'apprentissage d'une stratégie de gestion d …

Internet use by insurance firms for online sales of their products and services has been the topic of many analyses …-called "lag"" experienced by the insurance industry as far as electronic commerce is concerned. Some analysts explain this ""lag …"" by the fear of Insurance companies to create distribution channel conflicts, to the extent that online sales could be …