Cube model: Predictions and account for best–worst choice situations with three choice alternatives

IF 2.8 3区 经济学 Q1 ECONOMICS
Adele Diederich , Keivan Mallahi-Karai
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引用次数: 0

Abstract

The Cube model (Mallahi-Karai and Diederich, 2019) is a dynamic-stochastic approach for decision making situations including multiple alternatives. The underlying model is a multivariate Wiener process with drift, and its dimension is related to the number of alternatives in the choice set. Here we modify the model to account for Best–Worst settings. The choices are made in a number of episodes allowing the alternatives to be ranked from best to worst or from worst to best. The model makes predictions with respect to choice probabilities and (mean) choice response times. We show how the model can be implemented using Markov chains and test the model and a simpler variation of it on data from Hawkins et al. (2014b).

立方体模型:预测并说明三种选择方案的最佳-最差选择情况
立方体模型(Mallahi Karai和Diederich,2019)是一种用于包括多个备选方案的决策情况的动态随机方法。基础模型是一个具有漂移的多元维纳过程,其维数与选择集中的备选方案数量有关。在这里,我们修改模型以考虑最佳-最差设置。这些选择是在多集中进行的,允许从最佳到最差或从最差到最佳对备选方案进行排名。该模型对选择概率和(平均)选择响应时间进行预测。我们展示了如何使用马尔可夫链来实现该模型,并在Hawkins等人的数据上测试了该模型及其更简单的变体。(2014b)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
12.50%
发文量
31
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