Stochastic Choice and Consideration Sets
提出一个有限注意力的决策模型，代理人以特定概率考虑每个选项，再从考虑集中选择偏好最优者。该模型能唯一识别偏好和注意力参数，对行为经济学和决策理论研究者有参考价值。
We model a boundedly rational agent who suffers from limited attention. The agent considers each feasible alternative with a given (unobservable) probability, the attention parameter, and then chooses the alternative that maximizes a preference relation within the set of considered alternatives. We show that this random choice rule is the only one for which the impact of removing an alternative on the choice probability of any other alternative is asymmetric and menu independent. Both the preference relation and the attention parameters are identified uniquely by stochastic choice data.