Small Deviations from Maximizing Behavior in a Simple Dynamic Model
用一个简单动态模型探讨非最大化行为的影响：当进入过程不灵活时，小偏差会显著改变贸易收益分配；当进入过程灵活时，效应被削弱，但效率损失仍是一阶的，不同于静态模型的二阶损失。
The motivating intuition is that the presence of nonmaximizing agents induces maximizing agents to take advantage of them, and that this might magnify the effect of small deviations from maximizing behavior. This intuition is explored using a simple dynamic model. With an inflexible entry process, small deviations from maximizing behavior may have a substantial impact on the allocation of gains from trade. With a flexible entry process, the effect is dampened by adjustments in entry. Yet these deviations result in a first-order efficiency loss, in contrast to the second-order loss that one would expect from looking at standard static models.