Multivariate Almost Stochastic Dominance
提出了多元几乎随机占优和多元几乎n阶风险的概念，并建立其与“好坏搭配”偏好的联系，进而用于推导比较静态结果，还扩展到了风险偏好型随机占优。
Abstract Almost stochastic dominance allows small violations of stochastic dominance rules to avoid situations where most decision makers prefer one alternative to another but stochastic dominance cannot rank them. We present the concepts of multivariate almost stochastic dominance and multivariate almost n th‐degree risk and their connections with a preference for combining good with bad. Then, we show how a preference for combining good with bad can be applied to obtain various comparative statics results, and we extend our approach to risk‐prone (convex) stochastic dominance, which relates to the opposite preference, for combining good with good and bad with bad.