考虑集的消费者选择:阈值Luce模型

Ruxian Wang
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引用次数: 0

摘要

本文研究了阈值Luce模型,这是一个最近提出的具有考虑集形成阈值的选择模型。在阈值Luce模型下,消费者首先形成他们的考虑集:如果一个效用明显较低的替代方案被另一个替代方案所主导,那么它将不会被包括在考虑集中。阈值Luce模型可以减轻不相关替代(IIA)属性的独立性,并允许更灵活的替代模式。我们描述了最优策略,并开发了价格和分类优化问题的有效解决方案。在阈值卢斯模型下,价格竞争可能有零个、一个、两个或无限个纳什均衡,取决于阈值效应的大小。此外,我们还开发了一种有效的估计方法来校准阈值Luce模型。对合成数据集和真实数据集的数值研究表明,该模型可以提高消费者选择行为的拟合优度和预测精度,说明在决策时应考虑阈值效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consumer Choice with Consideration Set: Threshold Luce Model
This paper investigates the threshold Luce model, a recently proposed choice model with a threshold for the consideration-set formation. Under the threshold Luce model, consumers first form their consideration set: If an alternative with significantly low utility is dominated by another one, it will not be included in the consideration set. The threshold Luce model can alleviate the independence of irrelevant alternatives (IIA) property and allow more flexible substitution patterns. We characterize the optimal strategy and develop efficient solutions for price and assortment optimization problems. Under the threshold Luce model, the price competition may have zero, one, two, or infinite Nash equilibria, depending on the magnitude of the threshold effect. Moreover, we also develop an efficient estimation method to calibrate the threshold Luce model. Our numerical study on synthetic and real data sets shows that the new model can improve the goodness of fit and prediction accuracy of consumer choice behavior, which suggests the threshold effect should be taken into account in decision making.
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