Random utility models with status quo bias
将现状偏差纳入随机效用模型及其三个特例，提出行为化版本，其中决策者只考虑优于现状的选项并随机选择效用最大化者，通过公理化方法识别受现状偏差影响的随机选择者。
Status quo bias is one of the most commonly observed and attested behavioral biases in economic studies . I incorporate status quo bias into the Random Utility Model (RUM) and three of its special cases, including the Luce model, the Dual Random Utility Model (dRUM) and the Single-Crossing Random Utility Model (SCRUM). These behavioral RUMs generalize their non-behavioral counterparts, in which decision-makers (DMs) randomize over utility maximizing alternatives. Instead, in these behavioral models, DMs are only drawn to alternatives that are better than the status quo alternative and randomize their choices over utility maximizers among such alternatives. An axiomatic approach is employed to identify DMs who choose stochastically according to these RUMs but are subject to status quo bias. I also discuss the relationship between these models with other well-known behavioral RUMs in the literature.