An Elimination by Aspects Model of Consumer Response to Promotion Calibrated on UPC Scanner Data
利用UPC扫描数据，在家庭层面构建并估计了一个逐方面排除模型，以模拟消费者在购买前使用简化启发式筛选备选品的过程，模型拟合和预测效果良好，参数稳定且与补偿模型有差异。
Because consumers are believed to use simplifying heuristics to screen alternatives before choosing one to purchase, the authors formulate and estimate an elimination by aspects model at the individual household level, using UPC scanner data collected from purchases of regular ground coffee. The proposed model fits and predicts the data as well as its compensatory approximation. The parameters of the proposed model are reasonably stable, unbiased, and different in interesting ways from their compensatory counterparts.