论文标题：Randomization under ambiguity: efficiency and incentive compatibility

　　发表时间：2020

　　论文所有作者：Zhiwei Liu, Xinxi Song, Nicholas C. Yannelis

　　期刊名及所属分类：Journal of Mathematical Economics(国际B)

　　英文摘要：We generalize de Castro and Yannelis (2018) by taking into account the use of randomization. We answer the following questions: Is each efficient allocation of de Castro and Yannelis (2018) still Pareto optimal? Are all efficient allocations still incentive compatible under the Wald’s maxmin preferences? We provide positive answers and give applications.

　　中文摘要：我们将de Castro和Yannelis(2018)纳入了随机化的使用。我们回答了以下问题:de Castro和Yannelis(2018)的每个有效分配仍然是帕累托最优吗?在Wald的maxmin偏好下，所有的有效分配是否仍然是激励相容的?我们提供肯定的答复和申请。