The Focal Luce Model
提出了焦点卢斯模型，该模型扩展了卢斯的多项式逻辑模型，通过引入菜单依赖的焦点性来解释选择行为，并可从选择频率中识别效用、焦点集和偏差项。
We introduce the Focal Luce Model (FLM), a random choice model that generalizes Luce’s (1959) model (multinomial logit) to account for menu-dependent focality of alternatives. In the FLM, focal alternatives are relatively more likely to be chosen even after taking utilities into account. The FLM captures a variety of bounded rationality models while behaviorally distinguishing between what is focal and the magnitude of the bias from focality. We show how to identify utilities, focal sets, and bias terms from choice frequencies; behaviorally characterize the FLM by weakening Luce’s (1959) independence from irrelevant alternatives; and apply our model to choice data and games.