accuracy. We derive the pricing strategies and we analyze the relationship between information accuracy and asymmetric market …

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 … sentiment, defined as the degrees of excess optimism and pessimism that cannot be justified by the near-rational learning model …

infinite-horizon learning, and subjective expectations with Euler-equation learning. Under rational expectations, the model … necessitates of large, possibly unrealistically so, degrees of myopia. The same result persists under infinite-horizon learning …, given that agents are still remarkably farsighted. But, under Euler-equation learning, the model can fit the data with only …

, which leads to new insights into the optimal pricing structure of the firm. We find that quality differentiation for users … externalities, thereby affecting the pricing structure of multi-sided firms. In addition, quality differentiation affects the …

study experimentally to what extent cross-game learning can reduce overbidding in SPAs, taking into account cognitive skills … losses from high bids are more salient than in SPAs. Experience in FPAs causes substantial cross-game learning for … bid shading by cognitively more able participants, resulting in lower profits in FPAs. Thus, cross-game learning has the …