Consistent Depth of Reasoning in Level-k Models
通过让受试者在五类博弈中做选择，发现推理深度普遍不一致，且无法用困惑、信念变化、随机选择等解释，并提出了一个纳入模糊厌恶的模型来预测这种不一致。
Level-k models often assume that individuals employ a fixed depth of reasoning across different games. We study this assumption by having subjects make choices in five classes of games chosen to identify inconsistent depth of reasoning. We demonstrate that depth of reasoning is pervasively inconsistent, changing both within and between classes of games. We show that this cannot easily be explained by factors such as subject confusion, changing beliefs about others’ depth of reasoning, stochastic choice, model misspecification, changing incentives, or low cognitive ability. We develop a simple model incorporating ambiguity aversion that predicts inconsistent depth of reasoning.