Context-Induced Parameter Instability in a Disaggregate-Stochastic Model of Store Choice
提出一个消费者个体选择模型，认为产品属性权重随情境中属性变异程度变化，采用类似Logit的形式，无需预设决策层级，计算简单，并用实验商店选择数据验证了二项式形式。
A model of individual consumer choice is described which posits that the relative weights consumers associate with product attributes in forming preferences covary with the amount of variability on the attributes among choice alternatives in particular contexts. The model is derived in a logit-like form, and has advantages over previously used nested models in terms of not requiring an analyst to prespecify a decision hierarchy and being relatively simple computationally. A binomial form of the model is illustrated by an analysis of a set of experimental store choice data.